COOPERATIVE COEVOLUTIONARY APPROACHES AND THEIR POTENTIAL APPLICATIONS IN POWER SYSTEMS
Chen Haoyong, Wang Xifan, Bie Zhaohong, Hu ZechunC(Xi'an Jiaotong University, Xi'an 710049, China)
Cooperative coevolutionary approach (CCA) is a new architecture of evolutionary computation. It simulates the evolutionary mechanism in the 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 systems and electricity market. CCA is a brand new research direction and has great potentials in solving increasingly complex problems emerging in power systems and electricity market, such as power system optimal planning and operation, electricity market auction mechanism design and bidding strategy optimization, computer simulation of electricity market.