Open AccessOptimal capacity allocation of thermal storage system considering peak regulation ancillary services
Author(s) -
Tao Zhang,
Guanxiong Zhao,
Shuwen Wang,
Shunjiang Wang,
Yang Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012054
Subject(s) - thermal energy storage , capacity optimization , computer science , grid , particle swarm optimization , electric power system , mathematical optimization , process engineering , power (physics) , environmental science , engineering , mathematics , ecology , physics , geometry , quantum mechanics , biology
Limited by the operation mode of ‘heat-set’ is one of the main reasons for the large amount of wind abandonment in Northeast China. Reasonable allocation of electric heat storage system is an effective means to improve the wind power absorption capacity of regional power grid. In this paper, an optimal capacity allocation model of electric heat storage system considering peak regulation auxiliary services is proposed, and the optimal capacity of electric heat storage system is solved based on game theory. Firstly, the economic benefits of each stakeholder participating in peak regulation ancillary service market are analyzed by allocating electric heat storage equipment in thermal power plants. Secondly, a bi-level programming model for optimal capacity allocation of electric thermal storage system is established. Finally, the model is optimized by particle swarm optimization and Cplex hybrid optimization method. The optimal configuration scheme of the electric heat storage system is obtained by solving the optimization problem. The example shows that the model is reasonable and effective.