Cooperative Control for Distributed Generation by using Multiagent Learning

Kodama, Junichi; Shinji, Hiroshi; Tanabe, Takayuki; Hamagami, Tomoki; Hirata, Hironori

doi:10.1541/ieejeiss.126.194

IEEJ Trans.EIS

2006

DOI: 10.1541/ieejeiss.126.194

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Cooperative Control for Distributed Generation by using Multiagent Learning

Junichi Kodama

Hiroshi Shinji

Takayuki Tanabe

et al.

Abstract: Multiagent learning to stabilize power grid is conducted. Each agent controlling each distributed generator acquires suitable control action by using Q-learning. Simulation results show that the multiagent approach enables the grid to stabilize the voltage.

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Using Intelligent System Approaches for Simulation of Electricity Markets

Hamagami

2006

IEEJ Trans.EIS

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Significances and approaches of applying intelligent systems to artificial electricity market is discussed. In recent years, with the moving into restructuring of electric system in Japan, the deregulation for the electric market is progressing. The most major change of the market is a founding of JEPX (Japan Electric Power eXchange.) which is expected to help lower power bills through effective use of surplus electricity. The electricity market designates exchange of electric power between electric power suppliers (supplier agents) themselves. In the market, the goal of each supplier agents is to maximize its revenue for the entire trading period, and shows complex behavior, which can model by a multiagent platform. Using the multiagent simulations which have been studied as "artificial market" helps to predict the spot prices, to plan investments, and to discuss the rules of market. Moreover, intelligent system approaches provide for constructing more reasonable policies of each agents. This article, first, makes a brief summary of the electricity market in Japan and the studies of artificial markets. Then, a survey of tipical studies of artificial electricity market is listed. Through these topics, the future vision is presented for the studies.

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Using Intelligent System Approaches for Simulation of Electricity Markets

Hamagami

2006

IEEJ Trans.EIS

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Cooperative Control for Distributed Generation by using Multiagent Learning

Abstract: Multiagent learning to stabilize power grid is conducted. Each agent controlling each distributed generator acquires suitable control action by using Q-learning. Simulation results show that the multiagent approach enables the grid to stabilize the voltage.

Cited by 1 publication

References 0 publications

Using Intelligent System Approaches for Simulation of Electricity Markets

Using Intelligent System Approaches for Simulation of Electricity Markets

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