• 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 ›› 2022, Vol. 43 ›› Issue (11): 24-32.doi: 10.12204/j.issn.1000-7229.2022.11.003

• Key Technologies for Interaction between Power Distribution Network and New Load Driven by Carbon Peaking and Carbon Neutrality Goals •Hosted by Professor MU Yunfei and Professor-level Senior Engineer SONG Yi• • Previous Articles     Next Articles

Online Optimization Decision Algorithm for Distributed Generations Considering Voltage Prediction in Active Distribution Network

XI Xiangdong1, HOU Xiangchen2, SAREN Gaowa1, ZHU Xingxu2(), SUN Zhebin1, LIANG Tao1, LIU Pengxuan1, WANG Xiaokui1, LI Cuiping2, LI Junhui2   

  1. 1. Inner Mongolia Power Economic Technology Research Institute, Hohhot 010010, China
    2. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology,Ministry of Education (Northeast Electric Power University), Jilin 132012, Jilin Province, China
  • Received:2022-06-06 Online:2022-11-01 Published:2022-11-03
  • Contact: ZHU Xingxu E-mail:neduzxx@163.com
  • Supported by:
    Science and Technology Project of Inner Mongolia Electric Power Economic and Technological Research Institute “Evaluation and Research on Distributed Photovoltaic Bearing Capacity of Mengxi Power Grid under the Background of Promoting Roof Photovoltaic in the Whole County”;Natural Science Foundation of Jilin Province(2020122352JC)


Under the background of “double carbon”, the access to distributed power generation in the distribution network is gradually increasing. How to decide the output setting value of distributed power generation to make the economic operation of the distribution network becomes a key issue of research. In this paper, an in-depth study on distributed power management and control is carried out. On the basis of a time-varying optimization model, an online optimization decision algorithm for distributed generations considering voltage prediction is proposed to solve the problem that the existing algorithm does not consider the influence of the decision of distributed power in the current period on the decision of distributed power in the future period. Firstly, the network node voltage after the load change should be predicted according to the load change of each node in the distribution network. The predicted node voltage values in distribution network can be further used to decide distributed power generation. Then, the change of the decision setting value of the distributed power source is used to predict the network power flow state after the decision of the distributed power source, and so on to solve the decision setting value of the distributed power source in all periods. For the 502-node distribution network example system, the online optimization decision algorithm proposed in this paper is used to verify the optimal power flow convergence of the distribution network, the convergence of node voltage regulation, and the validity of charging and discharging prediction of the energy storage power supply.

Key words: active distribution network, optimal power flow, online prediction, voltage regulation

CLC Number: