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Optimal dispatching control of distribution network based on IHHO algorithm

  • Xinghua Liu*
  • , Bingzhen Niu
  • , Wenan Liu
  • , Xingyong Zhang
  • , Tao Ma
  • , Yanshan Song
  • , Xinsheng Zhang
  • , Hongchen Liu
  • *Corresponding author for this work
  • State Grid Shandong Electric Power Company Zibo Power Supply Company
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the implementation of the "double carbon" plan, a large number of wind turbines, photovoltaic generators and energy storage devices are connected to the distribution network (DN), posing new challenges to the stability and economic operation of the DN. The uncertainty of wind power generation and photovoltaic power generation puts forward higher requirements for dispatching control of DN. The addition of energy storage devices can restrain the fluctuation of wind and solar output, but considering its high cost, it is necessary to reasonably use energy storage resources. In order to reasonably dispatch the resources in the DN and reduce the economic cost and network loss, a DN optimal dispatch method based on improved Harris Hawk algorithm (IHHO) is proposed. Firstly, Sobol sequence is used to form uniformly distributed initial population (IP) position; Secondly, the nonlinear energy factor is used to make the algorithm still have the ability to jump out of the local optimum in the later stage; Finally, the Newton iteration method is used to enhance the local search energy in the development stage. The example analysis shows that the optimal control algorithm can effectively reduce the network loss and operation cost of the DN on the basis of the safe operation of the DN.

Original languageEnglish
Title of host publication3rd International Conference on Internet of Things and Smart City, IoTSC 2023
EditorsXiangjie Kong, Francisco Falcone
PublisherSPIE
ISBN (Electronic)9781510666375
DOIs
StatePublished - 2023
Event3rd International Conference on Internet of Things and Smart City, IoTSC 2023 - Chongqing, China
Duration: 24 Mar 202326 Mar 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12708
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference3rd International Conference on Internet of Things and Smart City, IoTSC 2023
Country/TerritoryChina
CityChongqing
Period24/03/2326/03/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Active distribution network
  • Distributed generation
  • Harris Hawk optimization algorithm
  • Multi-objective optimization

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