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出 处:《电力系统及其自动化学报》2008年第3期111-117,共7页Proceedings of the CSU-EPSA
摘 要:Agent模型对不确定的电力市场进行仿真,是一种新兴研究方法。为了分析这一技术应用现状,从电力市场Multi-Agent系统框架、基于直接或间接探索学习算法的单Agent学习模式、Agent其他策略模型以及各Agent之间信息交互四个方面综述了近年来Agent技术在电力市场中的应用成果。研究表明,Agent仿真模型提前预警市场的潜在风险和开拓市场研究思路提供机会,很多单Agent模型在预测和处理数据方面已十分智能,但整个电力市场多Agent系统还停留在多个单Agent阶段,其整体智能的效用并未体现,是一个极具潜力的突破方向。It's a novel way to use Agent model to simulate the uncertain electricity market. In order to analyze the actuality of its application, this paper summarizes the lately researches of Agent based analysis of power market from four aspects,the framework of Multi-Agent system, the Single-Agent Learning mode with directly or indirectly exploring learning-algorithm, other strategy models of Agent and the information- interaction between Agents. Agent Technology has brought us an opportunity to predict the potential risk of the market and broaden our way of research. Single Agent model is excellent at prediction and data processing, but almost all of the so-called Multi-Agent models are just a simple combination of many single Agents. This problem is of great value to be solved since the intelligent utility of a Multi-Agent is not shown.
分 类 号:TM734[电气工程—电力系统及自动化]
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