• 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 ›› 2018, Vol. 39 ›› Issue (8): 9-17.doi: 10.3969/j.issn.1000-7229.2018.08.002

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Optimal Energy Dispatching Strategy for Microgrid Considering Multi-Scale Demand Response Resources

LIU Baolin1, ZHOU Shaoxiong2, CHEN Yaosheng3, YANG Ping3   

  1. 1.Yunnan Power Grid Co., Ltd., Kunming 650011, China;2.Shenzhen Hupzon Energy Technology Co., Ltd., Shenzhen 518000, Guangdong Province, China;3. Guangdong Key Laboratory of Clean Energy Technology, School of Electric Power, South China University of Technology, Guangzhou 510640, China
  • Online:2018-08-01
  • Supported by:
    This work is supported by China Southern Power Grid Company Limited Research Program(No.YNKJXM20160244) and Science and Technology Project of Guangdong Province (No.2016B020245001).

Abstract: With the deepening of the power system reform, the operation mode of multi investment and centralized management has been formed in the user-side microgrid. It is of great practical significance to study the energy optimization of microgrid considering the interests of operators. In this paper, the optimal energy dispatching strategy for microgrid is proposed, which aims at maximizing the income of the operators purchasing and selling electricity and minimizing the demand response compensation cost. Considering the multi-time scale characteristics of demand response, this strategy brings two demand response resources, i.e. aggregated air conditioning and electric vehicles, into three different time scales dispatching plan (namely day-ahead, in-day, and real-time dispatch), and optimizes the energy storage system output and demand response supply step by step to realize the global benefit maximization of the operators. Load aggregator predicts controllable capacity of load in each period and takes response dispatch in real time, on the basis of the control model of aggregated air conditioning and electric vehicles. Finally, the test results have verified the effectiveness of the proposed method.

Key words:  microgrid, optimal energy dispatching, demand response, multi-time scale

CLC Number: