Capacity and Power Planning Method Based on Distributed Computing for Energy Storage Assisted Frequency Modulation in Thermal Power Plants

doi:10.3969/j.issn.1000-7229.2019.06.007

Abstract

Abstract: With the interconnection of a large number of new energy sources， the impact caused by the shortcomings of long response time and low climbing speed of thermal power units in the frequency regulation control of traditional power systems are becoming more and more obvious. The increasing development of energy storage system can be used to alleviate the pressure of frequency modulation. A large number of studies have proved that energy storage system can be applied to auxiliary frequency modulation of thermal power units in power plants. In this paper， a capacity and power planning method for auxiliary frequency modulation energy storage system of thermal power plant on the basis of distributed computing technology is proposed. Firstly， the profit model of power plant is established on the basis of the two rules of power grid. Secondly， the cost model of energy storage system is established on the basis of the life cycle theory. Finally， the optimal capacity and power allocation of energy storage system is obtained by using the particle swarm optimization algorithm based on distributed computing technology and taking the maximum comprehensive profit of power plant as the objective function. An example is given to illustrate the effect of auxiliary frequency modulation of energy storage system and the necessity of application of distributed computing technology.

Key words: energy storage system, distributed computing, frequency regulation, optimal allocation

CLC Number:

TM 621

WU Jincheng， DONG Shufeng， ZHANG Shupeng，HAN Rongjie， SHOU Ting，LI Jianbin. Capacity and Power Planning Method Based on Distributed Computing for Energy Storage Assisted Frequency Modulation in Thermal Power Plants[J]. Electric Power Construction, 2019, 40(6): 57-64.

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