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COOPERATIVE COEVOLUTIONARY APPROACH AND ITS PROMISING APPLICATIONS IN POWER SYSTEM

机译:协同协同进化方法及其在电力系统中的应用前景

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Cooperative Coevolutionary Approach (CCA) is a new architecture of evolutionary computation. CCA simulates the coevolutionary mechanism in nature and adopts the notion of ecosystem. Multiple species in the ecosystem coevolve and interact with each other and result in the continuous evolution of the ecosystem. The application domain problem is mapped into the evolving ecosystem and solved when the coevolutionary process ends. Evolutionary game theory can be used to model CCA and to analyze its dynamical behaviors. CCA has been successfully applied to a wide variety of practical problems. The paper surveys the origin and development of CCA; introduces the basic theories of CCA and discusses the potential applications in power system and power market. CCA is a brand new research direction and has great potentials in solving increasingly complex problems emerging in power system and power market, such as power system optimal planning and operation, power market auction design and bidding strategy optimization etc.
机译:合作协同进化方法(CCA)是一种进化计算的新体系结构。 CCA模拟了自然界中的协同进化机制,并采用了生态系统的概念。生态系统中的多种物种相互进化并相互作用,从而导致生态系统的不断进化。应用域问题被映射到不断发展的生态系统中,并在协同进化过程结束时得以解决。进化博弈理论可用于对CCA进行建模并分析其动态行为。 CCA已成功应用于各种实际问题。本文综述了CCA的起源和发展;介绍CCA的基本理论,并讨论在电力系统和电力市场中的潜在应用。 CCA是一个崭新的研究方向,在解决电力系统和电力市场中日益复杂的问题方面具有巨大潜力,例如电力系统优化规划和运行,电力市场拍卖设计和投标策略优化等。

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