SICE Journal of Control, Measurement, and System Integration
巻, 号, ページ
Vol. 6
No. 4
pp. 281-289
出版年月
2013年
出版者
和文:
英文:
SICE
会議名称
和文:
英文:
開催地
和文:
英文:
アブストラクト
This paper investigates cooperative energy network formation for distributed autonomous microgrids based
on receding horizon control and game theoretic cooperative control. In particular, we focus on photovoltaics and aim at
minimizing its temporal and spatial variabilities while reducing transmission losses over the whole network by forming
an appropriate network of power transmissions. We first formulate a novel optimal network formation problem in the
form of resource allocation games so that the welfare function reflects the above objectives. Then, the problem is reduced
to a potential game through an existing utility design technique. We next present a variation of a learning algorithm
presented in one of our previous works and newly provide a proof of convergence in probability to potential function
maximizers. Moreover, we consider real time implementation of the presented framework based on receding horizon
control, where it is shown that the information processing of the learning algorithm is almost distributed with the helps
of a solar radiation forecasting/estimation system. Finally, we illustrate the effectiveness of the present approach through
simulation using real data of a solar radiation estimation system.
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