Xiong Peng , Yudi Ding , Jiayan Liu , Yong Li , Kai Yuan
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Multi-perspective collaborative planning of DN and distribution energy stations with stepped carbon trading and adaptive evolutionary game
Distributed energy stations (DES), coupled with multiple energy equipment, can participate in the distribution network (DN) regulation. Thus, a multi-perspective collaborative planning method considering DES is proposed in this paper. Firstly, a double layer DN planning structure from the overall perspective is proposed. By considering the planning layer and the operation layer, the overall planning cost can be minimized. Then, the benefit relationships among DN operators, DG operators, and energy station (ES) operators are analyzed, and the benefit models of different stakeholders are established. On this basis, the multi-agent game planning model of DN considering the limited rationality of stakeholders is constructed. And then, the optimal planning and operation scheme of the DN with DES is determined through the adaptive evolutionary game method. Finally, the effectiveness of the proposed method is verified through the simulation of a certain 42-node distribution system.
期刊介绍：
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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