Incentive-based economic and physical integration for dynamic power networks

Economically Enabled Energy Management: Interplay between control engineering and economics

Published On 2020

This chapter describes an incentive-based market that integrates the economic layer and the physical layer to guarantee high-quality physical ancillary services in dynamic power networks. Toward the full liberalization of the electricity markets, it is indispensable to develop a socially optimal regulation market with a high-speed market-clearing mechanism while preventing maliciously strategic biddings of market participants called agents. To realize the markets, the utility functioning as a system operator prepares an appropriate incentive mechanism to elicit the agents’ private information. We refer to this real-time incentive-enabled market as an incentivizing market. After illustrating the issues of the agents’ strategic biddings without incentive mechanisms, we mainly propose incentivizing market mechanisms for moral hazard problems and adverse selection problems in dynamic power networks, respectively. We …

Journal

Economically Enabled Energy Management: Interplay between control engineering and economics

Published On

2020

Page

181-211

Authors

Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

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H-Index(all)

12

H-Index(since 2020)

6

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0

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Citation(since 2020)

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Control

Robotics

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Ken-Ichi Akao

Ken-Ichi Akao

Waseda University

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H-Index(all)

9

H-Index(since 2020)

6

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

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0

Research Interests

Economics

University Profile Page

Yasuaki Wasa

Yasuaki Wasa

Waseda University

Position

H-Index(all)

8

H-Index(since 2020)

7

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

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0

Research Interests

Systems and Control

Game Theory

Smart Grid

Cyber-physical & Human Systems

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Other Articles from authors

Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

IEEJ Transactions on Electronics, Information and Systems

Visual Feedback Control With an Input-to-State Safe Control Barrier Function

Visual Feedback Control With an Input-to-State Safe Control Barrier Function - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Visual Feedback Control With an Input-to-State Safe Control Barrier Function Murao, Toshiyuki ; Okada, Kaito ; Kawai, Hiroyuki ; Ibuki, Tatsuya Abstract Publication: IEEJ Transactions on Electronics, Information and Systems Pub Date: April 2024 DOI: 10.1541/ieejeiss.144.353 Bibcode: 2024ITEIS.144..353M full text sources Publisher | © The SAO/NASA Astrophysics Data System adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A NASA logo Smithsonian logo Resources About ADS ADS Help What's New Careers@ADS Social @adsabs ADS Blog Project Switch to full ADS Is ADS down? (or is it just me...) Smithsonian Institution Smithsonian Privacy Notice …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

Incentivizing Control Design for Blockchain-Enabled Distributed Optimization in Electricity Market Systems

This paper provides an incentivizing control design for blockchain-enabled distributed optimization in electricity market systems. After a wholesale multi-spot bidding problem in electricity market systems is first formulated, an incentivizing distributed optimization inspired by the mechanism design in economics is proposed, and we discuss the relationship between the proposed utility/incentive function design and the potential game. Moreover, it is explained that the proposed mechanism can be implemented on a blockchain system based on Solidity. The effectiveness of the proposed control architecture is finally illustrated by simulation.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

arXiv preprint arXiv:2401.07425

ZEH-oriented Linear Programming for the Sizing Problem of Photovoltaic Panels and Batteries

In this paper, we explore the concept of net-Zero Energy Houses (ZEH) - houses designed to have an annual net energy consumption around zero. To achieve this, we present a constrained optimization problem whose objective is finding the optimal sizing of photovoltaic panels and a battery system to be integrated at home. The original optimization problem is nonlinear with nonconvex constraints. Nevertheless, by applying a series of transformations, it is possible to find an equivalent Linear Programming (LP) problem which is computationally tractable. The attainment of ZEH can be tackled by introducing a single constraint in the optimization problem. Additionally, we propose a sharing economy approach to the investment problem, a strategy that carries the potential to reduce the cost of the investment and facilitate the attainment of ZEH in a more efficient manner. Finally, we apply the proposed frameworks to a neighborhood in Japan as a case study, demonstrating the potential for long-term ZEH attainment. The results show the importance of choosing an appropriate incentive to motivate residents towards achieving ZEH.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

計測と制御

VPP 計画・運用につながるゲーム理論の活用法

カーボンニュートラル社会実現に向けて, エネルギー管理システム (EMS) では電力の脱炭素化と電動化が不可欠である 1). 有望策の一つは, 多数の分散配置された再生可能エネルギーや小型発電機, 需要機器や蓄電池を適切に連携・電力融通する方法であり, Virtual Power Plant (VPP) や Virtual Energy Storage System (VESS) と呼ばれる. VPP は一般に構成要素の物理機器が異種であり, 管理する意思決定主体も分権実装であるため, VPP の運用・計画ではその物理的・経済的利害の調整機構を含めた公正な枠組みが必要となる. 公正な枠組みの代表的手法は経済学に基づく市場設計 2)・契約手法 3) の活用であり, 実際に VPP 運用のための電力市場設計も数多く検討されてきた 4). 市場設計理論 (メカニズムデザイン) はマルチエージェントシステムのゲーム理論に基づく分散協調制御と捉えることができ, 数理モデルの共通性からシステム制御分野でも馴

Yasuaki Wasa

Yasuaki Wasa

Waseda University

日本ロボット学会誌

人の意思決定を考慮したネットワークロボティクス制御のためのメカニズムデザイン

自動運転車や陸海空対応のドローン, 人工衛星・探査機をはじめとする多数の自律移動型ロボットが生活空間の中に普及してきた. 情報通信技術の進展と構成要素の小型化・低価格化を背景に, 輸送, 環境把握や監視などのサービスで実応用化されつつある. 特に, ネットワークロボティクスとよばれる, 各ロボットが環境情報を取得すると同時に周辺のロボットと局所的通信を行い, 得られる情報に基づき自身の移動動作を自律分散的に決定・実行する状況が可能となった. 全体効率化を実現するうえでロボット間の要務重複による非効率化の解消のために, ネットワークロボティクスの制御理論は 21 世紀初頭に数多くの研究成果が得られた [1]~[4].一方, ネットワークロボティクスだけでは, 不確かな環境下での持続可能なサービス運用およびシステム全体最適化の実現が困難となる状況も発生する. その解決策の一つは人の意思決定を適切に考慮した人–ネットワークロボティクスの協調制御である. 自動化レベル (Levels of Automation)[5] の程度により望ましい形態が異なり, Human-inthe-loop システム (HILS) や Cyber-Physical Human システム (CPHS) の文脈で研究が精力的に行われてきた [6]. 将来の高度な社会システムを見据えると, Multilateral teleoperation [7] をはじめとする複数人の意思決定が反映可能なシステム構築が必要となる. このとき, 前述の分散処理だけではなく, 所有者の分権化が要求される. 本稿では, 部分最適 (個の最適化) と全体最適 (システムの最適化) のジレンマを解消するメカニズムデザイン・制御法に関して, 利害関係を考慮した意思決定の理論であるゲーム理論・契約理論に基づく筆者らの研究成果 [8] を中心に紹介する. ただし, 研究成果は電力分野でありロボット分野の事例ではないため, 本稿ではロボット分野への適用時の解釈を試みる. 以下, ゲーム理論では合理的判断に基づく自律的意思決定者をエージェントやプレイヤーとよぶが, 本稿で …

Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

Pose Synchronization for Semi-Autonomous Dynamic Robotic Swarms with a Passivity-Short Human Operator

This paper presents a pose synchronization method for semi-autonomous dynamic robotic swarms with a passivityshort human operator. In the human-robot network, a human operator sends a command signal to and receives visual information from only a part of the robotic group. In this setting, the proposed dynamic control scheme achieves not only pose synchronization of all mobile robots but also convergence to the reference pose that the human operator specifies. The main advantage of the proposed method is to guarantee convergence of not only the position but also the orientation to the reference ones in the human-robot network. Finally, we provide human-in-the-loop simulation results through the human operation using a tablet PC to illustrate the performance of the proposed control method.

2023/10/16

Article Details
Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

IFAC-PapersOnLine

Tracking Control for FES Alternate Knee Bending and Stretching Trike With Electric Motor Assistance

This paper deals with a new control method for functional electrical stimulation (FES) alternate knee bending and stretching trike with electric motor assistance. While FES-cycling is known as a beneficial exercise for people with movement disorders, a paraplegia patient could not pedal smoothly by applying the previous method. One of the possible reasons is that there is a dead point in the pedaling motion intrinsically. To overcome this drawback, we developed a trike system which can be moved by alternating knee bending and stretching of the left and right legs for paraplegia patients. Electric motor assistance plays an important role to recover deceleration of the trike when switching between flexion and extension. Stability of the developed control law is analyzed through Lyapunov-based methods.

Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

IEEJ Transactions on Electronics, Information and Systems

Pose Control With an Input-to-state Safe Control Barrier Function for Rigid Body Motion

Pose Control With an Input-to-state Safe Control Barrier Function for Rigid Body Motion - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Pose Control With an Input-to-state Safe Control Barrier Function for Rigid Body Motion Murao, Toshiyuki ; Matsumoto, Kosuke ; Kawai, Hiroyuki ; Ibuki, Tatsuya ; Fujita, Masayuki Abstract Publication: IEEJ Transactions on Electronics, Information and Systems Pub Date: January 2023 DOI: 10.1541/ieejeiss.143.67 Bibcode: 2023ITEIS.143...67M full text sources Publisher | © The SAO/NASA Astrophysics Data System adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A NASA logo Smithsonian logo Resources About ADS ADS Help What's New Careers@ADS Social @adsabs ADS Blog Project Switch to full ADS Is ADS down? (or is it just me...) Smithsonian …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

計画値同時同量を考慮した地域エネルギー管理システムの実時間分散協調制御

主催: 公益社団法人 計測自動制御学会, 一般社団法人 日本機械学会, 一般社団法人 システム制御情報学会, 公益社団法人 化学工学会, 公益社団法人 精密工学会, 一般社団法人 電気学会, 一般社団法人 日本航空宇宙学会

Yasuaki Wasa

Yasuaki Wasa

Waseda University

arXiv preprint arXiv:2308.07334

Stochastic optimal investment strategy for net-zero energy houses

In this research, we investigate Net-Zero Energy Houses (ZEH), which harness regionally produced electricity from photovoltaic(PV) panels and fuel cells, integrating them into a local power system in pursuit of achieving carbon neutrality. This paper examines the impact of electricity sharing among users who are working towards attaining ZEH status through the integration of PV panels and battery storage devices. We propose two potential scenarios: the first assumes that all users individually invest in storage devices, hence minimizing their costs on a local level without energy sharing; the second envisions cost minimization through the collective use of a shared storage device, managed by a central manager. These two scenarios are formulated as a stochastic convex optimization and a cooperative game, respectively. To tackle the stochastic challenges posed by multiple random variables, we apply the Monte Carlo sample average approximation (SAA) to the problems. To demonstrate the practical applicability of these models, we implement the proposed scenarios in the Jono neighborhood in Kitakyushu, Japan.

Ken-Ichi Akao

Ken-Ichi Akao

Waseda University

Frontiers in Computer Science

Assessing the effect of dialogue on altruism toward future generations: A preliminary study

Introduction Despite the abundance of evidence on climate change and its consequences on future generations, people, in general, are still reluctant to change their actions and behaviors toward the environment that would particularly benefit posterity. In this study, we took a preliminary step in a new research direction to explore humans' altruistic behavior toward future generations of people and whether it can be affected by dialogue. Methods We used an android robot called Telenoid as a representative of future generations by explaining that the robot is controlled by an Artificial Intelligence (AI) living in a simulation of our world in the future. To measure people's altruistic behavior toward it, we asked the participants to play a round of the Dictator Game with the Telenoid before having an interactive conversation with the Telenoid and then playing another round. Results On average, participants gave more money to the Telenoid in the second round (after having an interactive conversation). The average amount of money increased from 20% in the first to about 30% in the second round. Discussion The results indicate that the conversation with the robot might have been responsible for the change in altruistic behavior toward the Telenoid. Contrary to our expectations, the personality of the participants did not appear to have an influence on their change of behavior, but other factors might have contributed. We finally discuss the influence of other possible factors such as empathy and the appearance of the robot. However, the preliminary nature of this study should deter us from making any definitive conclusions, but the results are promising for …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

IFAC-PapersOnLine

Economic optimization for dynamic cross-sector resilience design of energy and mobility via EVs: An emergency analysis

Electric vehicles (EVs) will play an essential role in smart cities to realize transportation electrification and power system reform for carbon neutralization. Meanwhile, the EV transportation service as mobility is incompatible with the EV storage management as real-time power supply stabilization. To realize the emerging ancillary services and the system resilience in interdependent energy/mobility systems, this paper presents an economic optimization of a dynamic energy/mobility allocation problem via EVs. We also evaluate the economic resilience performance after the occurrence of an emergent event by disconnecting part of the power lines is severed through a simulation imitating the central Tokyo area.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

SICE における Cyber Physical Human Systems 調査研究

This paper overviews technical research and study on cyber physical human systems (CPHS) in The Society of Instrument and Control Engineers (SICE). Specifically, we introduce the activities of SICE control division technical committee on human-connected control systems and the domestic and international academic trends. We also discuss the future direction of system architecture design and its control for CPHS.

Ken-Ichi Akao

Ken-Ichi Akao

Waseda University

Sustainable Development Disciplines for Society: Breaking Down the 5Ps—People, Planet, Prosperity, Peace, and Partnerships

This multidisciplinary Open Access book provides nine problem-solving lectures for sustainable development for the planet and prosperity. Those are two of the five keywords for the Sustainable Development Goals (SDGs): people, the planet, prosperity, peace, and partnerships, or “the 5Ps”. Each of these lectures is classified into one of the keywords for SDGs and based on law, economics, management, international trade, input–output analysis, or agricultural and urban engineering. Further, each lecture delineates the essence of each discipline when it is practically applied to development studies. This book, Sustainable Development Disciplines for Society, along with its sister volume related to the people, peace and partnerships, will be useful in studying development. Interdisciplinary research is necessary to achieve the SDGs advocated by the United Nations. Hence, it is essential to learn the basics of individual disciplines, as they each offer ample knowledge fostering problem solving through the accumulation of existing research. This and its sister volume are the first comprehensive textbooks summarizing the essence of each necessary discipline to approach development studies from an interdisciplinary perspective. In developing countries, this book will provide access to development research for readers aiming to further develop their own nations. Moreover, in developed countries, this book will provide access to problem-solving research for readers seeking holistic solutions to complex social problems.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

IFAC-PapersOnLine

Information Transfer-based Topology Identification of Dynamic Multi-agent Systems

This paper proposes a data-driven approach to identify the communication network topology of dynamic multi-agent systems using information transfer. In particular, we focus on the discrete-time phase-coupled oscillators which have a directed tree structure. Our proposed approach is a protocol that adjusts the agents’ feedback gain due to synchronization while identifying the communication network topology, which is unknown in advance by an operator outside the network, by using the difference of two transfer entropy values based on the limited state information under transition. After revealing that the steady-state phase allocation is determined by the natural frequencies of the oscillators, we show that oscillations are reduced and fast synchronization is achieved by appropriately adjusting the feedback gain based on the network topology obtained by the proposed method through numerical examples using …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

IFAC-PapersOnLine

A Mathematical Modeling and Treatment Analysis of Dynamic Glucose Metabolism with Brain-based Regulatory Mechanism

This paper presents an elaborate mathematical model of dynamic glucose metabolism. Although it is known that the control mechanism of glucose metabolism is partly related to the brain, almost all existing papers ignore the brain mechanism in the dynamic glucose metabolism of diabetes. Then, we propose a refined mathematical model to integrate the brain-based regulatory mechanism with leptin into the conventional FDA approval model for all human beings to obtain an optimal combined treatment of not only insulin therapy but also leptin therapy. The effectiveness and limitations of the proposed combined therapy with insulin and leptin for not only type 1 diabetes mellitus but also type 2 diabetes mellitus are also evaluated through in silico experiments.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

計測自動制御学会論文集

行動変容効果を考慮した電力· 交通システムの動的最適化と環境負荷評価

This paper addresses a control mechanism to strengthen the cross-sector resilience of dynamic energy and mobility systems. To realize electrification towards decarbonizing smart cities and early recovery in emergencies, the real-time management of electric vehicles (EVs) is essential. EVs cannot achieve both the energy management function and the mobility function depending on user behavior in parallel. To minimize the physical costs and the enforced human behavior change, the dynamic optimization problem of cross-sector energy and mobility systems is proposed. Through simulations imitating the central Tokyo area, the effectiveness, economic cost, and environmental impact of the proposed algorithm are also numerically evaluated.

Yasuaki Wasa

Yasuaki Wasa

Waseda University

VR 環境内での人―ドローン群協調制御のための運動錯覚を応用した視野制御

主催: 公益社団法人 計測自動制御学会, 一般社団法人 日本機械学会, 一般社団法人 システム制御情報学会, 公益社団法人 化学工学会, 公益社団法人 精密工学会, 一般社団法人 電気学会, 一般社団法人 日本航空宇宙学会

Yasuaki Wasa

Yasuaki Wasa

Waseda University

Asian Journal of Control

Open‐loop equilibrium seeking in two‐agent noncooperative linear‐quadratic dynamic game with asymmetric horizon length

This article proposes an iterative‐based algorithm for open‐loop equilibrium seeking in a two‐agent noncooperative dynamic game. The finite‐horizon dynamic games handled in almost all existing articles assume the common prediction horizon length. From the viewpoint of divergence and differences in personal values, it is socially rational to solve the equilibrium of the games with asymmetric prediction horizon length. We thus propose an open‐loop equilibrium‐seeking algorithm without the private knowledge of the other agent's horizon information through a receding‐horizon linear‐quadratic game. Our proposed algorithm is based on iterative optimization. Each agent obtains its own best response control strategy while estimating the other agent's state feedback gain from the state information and guaranteeing the stability of the whole system. We also discuss the performance of the proposed equilibrium …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

塩素多点注入動的配水網システムの数理モデリングと実時間塩素濃度制御

主催: 公益社団法人 計測自動制御学会, 一般社団法人 日本機械学会, 一般社団法人 システム制御情報学会, 公益社団法人 化学工学会, 公益社団法人 精密工学会, 一般社団法人 電気学会, 一般社団法人 日本航空宇宙学会

Other articles from Economically Enabled Energy Management: Interplay between control engineering and economics journal

Toru Namerikawa

Toru Namerikawa

Keio University

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

Distributed dynamic pricing in electricity market with information privacy

In the future power network, power consumers as well as power generators participate in electricity market trading as selfish market players. Dynamic pricing is one of the useful tools to manage such networks in a distributed manner by changing electricity prices appropriately. In this chapter, we show distributed price decision procedures regarding the dynamic pricing to maximize social welfare in a power grid with information privacy of market players. Specifically, we first deal with an electricity market that covers multiple regional areas in a power grid and propose a market trading algorithm to derive the optimal regional electricity prices based on alternating decision making of market players. Subsequently, we deal with an electricity market in one regional area where an aggregator participates in the market trading as a mediator between the market operator and consumers. For this market, we propose a trading …

Toshiyuki Murao

Toshiyuki Murao

Kanazawa Institute of Technology

Economically Enabled Energy Management: Interplay between control engineering and economics

Incentive-based economic and physical integration for dynamic power networks

This chapter describes an incentive-based market that integrates the economic layer and the physical layer to guarantee high-quality physical ancillary services in dynamic power networks. Toward the full liberalization of the electricity markets, it is indispensable to develop a socially optimal regulation market with a high-speed market-clearing mechanism while preventing maliciously strategic biddings of market participants called agents. To realize the markets, the utility functioning as a system operator prepares an appropriate incentive mechanism to elicit the agents’ private information. We refer to this real-time incentive-enabled market as an incentivizing market. After illustrating the issues of the agents’ strategic biddings without incentive mechanisms, we mainly propose incentivizing market mechanisms for moral hazard problems and adverse selection problems in dynamic power networks, respectively. We …

Akira Hibiki

Akira Hibiki

Tohoku University

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

Effectiveness of feed-in tariff and renewable portfolio standard under strategic pricing in network access

Although some policy schemes are intended to promote production from renewable energy sources (RES), strategic pricing in network access possibly offsets the effectiveness of these policies. This study compares the effectiveness of fixed-price and premium-price feed-in tariffs (FIT) and renewable portfolio standards (RPS) for promoting production from RES, explicitly considering strategic pricing in network access. The effects of vertical structure, i.e., vertical integration and separation, are also investigated. An analytical model consists of a monopolist and a competitive fringe, where the fringe firm produces from RES. The vertically integrated monopolist is able to set the access price incurred by the fringe and its own output. Under vertical separation, in contrast, the access price is set by an independent operator in the network sector. It is shown that under vertical integration, the effectiveness of both FIT policies …

Toshiyuki Ohtsuka

Toshiyuki Ohtsuka

Kyoto University

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

Real-Time Pricing for Electric Power Systems by Nonlinear Model Predictive Control

This chapter discusses real-time pricing for electric power systems by using nonlinear model predictive control (NMPC). In NMPC, the price of electricity is regarded as a control input, and it is optimized in real time to achieve supply–demand balance and load frequency regulation. The chapter describes the formulation of several problems on the basis of different models of consumers, suppliers, and renewable energy resources. Moreover, it shows that when NMPC is used in combination with nonlinear estimation and/or stochastic optimization, it can take into account inherent uncertainties in consumer characteristics and renewable energy source. Numerical simulations show that NMPC provides a flexible and effective framework for real-time pricing with realistic computational costs.

Na Li

Na Li

Harvard University

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

A Passivity-Based Design of Cyber-Physical Building HVAC Energy

This chapter investigates cyber-physical system (CPS) design for enhancing energy efficiency of heating, ventilation, and air-conditioning (HVAC) systems in a building consisting of multiple zones. We first present a thermodynamics model, called resistance–capacitance circuit model, where the inter-zone heat transfer is identified with current flow on an electrical circuit. We then formulate a set point optimization problem to balance the human comfort and energy saving while satisfying several constraints. We then design a CPS which integrates optimization dynamics based on primal-dual gradient dynamics and the physical dynamics with a local controller. The resulting CPS is then shown to be interpreted as an interconnection of passive systems. Accordingly, convergence of the room temperatures to the optimal solution and input–output stability are rigorously proved based on the passivity paradigm. The …

Ken-Ichi Akao

Ken-Ichi Akao

Waseda University

Economically Enabled Energy Management: Interplay between control engineering and economics

Incentive-based economic and physical integration for dynamic power networks

This chapter describes an incentive-based market that integrates the economic layer and the physical layer to guarantee high-quality physical ancillary services in dynamic power networks. Toward the full liberalization of the electricity markets, it is indispensable to develop a socially optimal regulation market with a high-speed market-clearing mechanism while preventing maliciously strategic biddings of market participants called agents. To realize the markets, the utility functioning as a system operator prepares an appropriate incentive mechanism to elicit the agents’ private information. We refer to this real-time incentive-enabled market as an incentivizing market. After illustrating the issues of the agents’ strategic biddings without incentive mechanisms, we mainly propose incentivizing market mechanisms for moral hazard problems and adverse selection problems in dynamic power networks, respectively. We …

Yasuaki Wasa

Yasuaki Wasa

Waseda University

Economically Enabled Energy Management: Interplay between control engineering and economics

Incentive-based economic and physical integration for dynamic power networks

This chapter describes an incentive-based market that integrates the economic layer and the physical layer to guarantee high-quality physical ancillary services in dynamic power networks. Toward the full liberalization of the electricity markets, it is indispensable to develop a socially optimal regulation market with a high-speed market-clearing mechanism while preventing maliciously strategic biddings of market participants called agents. To realize the markets, the utility functioning as a system operator prepares an appropriate incentive mechanism to elicit the agents’ private information. We refer to this real-time incentive-enabled market as an incentivizing market. After illustrating the issues of the agents’ strategic biddings without incentive mechanisms, we mainly propose incentivizing market mechanisms for moral hazard problems and adverse selection problems in dynamic power networks, respectively. We …

Takeshi Hatanaka

Takeshi Hatanaka

Tokyo Institute of Technology

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

A Passivity-Based Design of Cyber-Physical Building HVAC Energy Management Integrating Optimization and Physical Dynamics

This chapter investigates cyber-physical system (CPS) design for enhancing energy efficiency of heating, ventilation, and air-conditioning (HVAC) systems in a building consisting of multiple zones. We first present a thermodynamics model, called resistance–capacitance circuit model, where the inter-zone heat transfer is identified with current flow on an electrical circuit. We then formulate a set point optimization problem to balance the human comfort and energy saving while satisfying several constraints. We then design a CPS which integrates optimization dynamics based on primal-dual gradient dynamics and the physical dynamics with a local controller. The resulting CPS is then shown to be interpreted as an interconnection of passive systems. Accordingly, convergence of the room temperatures to the optimal solution and input–output stability are rigorously proved based on the passivity paradigm. The …

Takanori Ida

Takanori Ida

Kyoto University

Economically Enabled Energy Management: Interplay Between Control Engineering and Economics

Behavioral Study of Demand Response: Web-Based Survey, Field Experiment, and Laboratory Experiment

This chapter analyzes customers’ electricity conservation behavior when demand response is called for. Behavioral economics provides very useful insights to account for human behavioral anomalies such as status quo bias, loss aversion, overconfidence, moral cost, and default bias. The chapter is composed of five sections. The second section investigates a Web-based survey of residential electricity plan choice. The third section investigates a field experiment on residential electricity plan choice. The fourth section investigates a laboratory experiment on residential energy conservation. The fifth section investigates a field experiment on building electricity conservation.