Planning Method for Multi-Functional Application Demand Considering Dynamic Life Cycle Characteristics of Energy Storage

doi:10.3969/j.issn.1000-7229.2020.01.006

Abstract

Abstract: In order to give full play to the peak regulation, voltage regulation and system reliability of the energy storage power station in the distribution network, in this paper, a multi-functional application planning method is proposed. It is mainly based on peak cutting and valley filling, and also takes into account voltage regulation and new energy consumption. The method aims to determine the location, power and capacity of the battery storage power station while maximizing the economic benefits. In order to make the results more accurate, considering the impact of battery aging, the battery storage power station is divided into multiple periods of construction, operation, decline and so on to build a dynamic full life cycle model. Finally, quantum genetic algorithm is used to solve the problem. The planning method proposed in this paper is verified by taking the actual power grid data of a province in China with large peak-valley difference and unbalanced distribution of power supply and load as an example.

Key words: optimization planning, peak filling and valley filling, voltage regulation, new energy consumption, dynamic full life

CLC Number:

TM 715

LI Xiangqi，YU Haifeng，LI Xinran，ZHANG De，JIANG Xing，ZHU Sirui，CHEN Changqing. Planning Method for Multi-Functional Application Demand Considering Dynamic Life Cycle Characteristics of Energy Storage[J]. Electric Power Construction, 2020, 41(1): 45-54.

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