• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (9): 35-42.doi: 10.3969/j.issn.1000-7229.2019.09.005

Previous Articles     Next Articles

Assessment Method for Grid-side Storage Demand under Multiple Application Scenarios

ZHU Huan1, CHENG Liang1, CHEN Chen1, ZHUO Zhenyu2, CUI Bo3, GONG Lijia3, ZHANG Ning2   

  1. 1. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210017, China;2. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;3. Qingda Hi-Tech System Control Limited Company, Beijing 100086, China
  • Online:2019-09-01
  • Supported by:
    This work is supported by National Key Research and Development Program of China(No. 2017YFB0902200), science and technology project “Application and Practical Research of Energy Storage in Jiangsu Power Grid” of State Grid Jiangsu Electric Power Company and research program “Research and Application of Large-scale Energy Storage Planning Technology for Received Power Grid” of State Grid Corporation of China(No.5102-201918309A-0-0-00).

Abstract: As an excellent flexible resource, energy storage equipment plays an important role in multiple scenarios of system operation. In current grid-side storage planning research, there is a lack of assessment methods for the energy storage demand boundary under multiple application scenarios. On the basis of the operation history data and power system operation simulation method, this paper presents a storage demand assessment method for multiple scenarios. This paper applies the method to calculate the storage capacity demand under three scenarios: frequency regulation, peak regulation and smoothing renewable energy output for Jiangsu Power Grid. Among them, the demand for frequency regulation is 289.3 MW/134.2 MWh; the demand for smoothing renewable energy output is 389.6 MW/629.2 MWh and 636.8 MW/433.5 MWh; and the demand for peak regulation is 1 245 MW/1 680 MWh. Suggestions for the choice of storage types are also given.

Key words: energy storage, frequency regulation, peak regulation, smoothing renewable energy output, demand assessment

CLC Number: