Calculation and optimization of inter-regional available transfer capability considering wind power uncertainty and system improvement measures

Frontiers in Energy Research

Energy Research

Jin Wang¹  Wenli Liu¹  Tao Zhang¹  Xiaolei Yang² 

[1] College of Electrical Engineering and New Energy, China Three Gorges University, Hubei, China;State Grid Jiaxing Power Supply Company, Zhejiang, China;

关键词: wind power’s stochastic characteristics;    available transfer capability;    demand response;    thyristor-controlled series compensation;    particle swarm optimization algorithm;   

DOI  :  10.3389/fenrg.2023.1177754

 received in 2023-03-02, accepted in 2023-08-07,  发布年份 2023

来源: Frontiers

【 摘 要 】

The intermittency and uncertainty of wind energy make transmission congestion management increasingly complex. In this paper, we investigate the impact of wind energy on available transmission capacity (ATC) and then explore ways to mitigate transmission congestion from the grid and load side, respectively. The impact of a stochastic variable is considered by applying Latin Hypercube Sampling (LHS) and backward curtailment techniques to generate typical scenarios. ATC is improved by the optimal allocation of Thyristor Controlled Series Compensation (TCSC) on the grid side and the use of Demand Response (DR) on the load side. The source-grid-load cooperative optimisation model for ATC is solved by an improved particle swarm optimisation (PSO) algorithm. Based on the IEEE-30 bus system, an experimental scheme is designed and analytical calculations are performed. The results show that the joint application of TCSC and DR can help to improve ATC in a comprehensive way. The work done in this paper can achieve the purpose of promoting renewable energy consumption by improving the utilisation efficiency of the transmission network without changing the network structure.

【 授权许可】

Unknown   
Copyright © 2023 Liu, Zhang, Yang and Wang.