Title: Optimisation of frequency response parameters of new energy distribution network based on linear correction

Authors: Xin Mao; Yufan Rao; Min Gong; Xuemin Song; Lixing Zhou

Addresses: Technical Training Centre of State Grid Hunan Electric Power Co., Ltd., Changsha, Hunan, China ' Technical Training Centre of State Grid Hunan Electric Power Co., Ltd., Changsha, Hunan, China ' Technical Training Centre of State Grid Hunan Electric Power Co., Ltd., Changsha, Hunan, China ' School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha, Hunan, China ' School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha, Hunan, China

Abstract: In order to overcome the problems of high response adjustment rate and low optimisation efficiency existing in the existing frequency response parameter optimisation methods of distribution network, a new optimisation method for frequency response parameter of new energy distribution network based on linear correction is proposed. Firstly, the frequency response demand of new energy distribution network is analysed, and the frequency regulation index of PV and wind power is obtained. Combined with linear correction algorithm, the frequency response parameter model of new energy distribution network is constructed. The fuzzy control theory and genetic algorithm are combined to solve the model to effectively optimise the frequency response parameters of new energy distribution network. Simulation results show that the proposed method cannot only effectively reduce the frequency response adjustment rate of distribution network, but also effectively reduce the optimisation time and cost.

Keywords: linear correction; new energy distribution network; frequency response parameters; fuzzy control theory; genetic algorithm.

DOI: 10.1504/IJGEI.2022.10049204

International Journal of Global Energy Issues, 2022 Vol.44 No.5/6, pp.454 - 470

Received: 09 Nov 2020
Accepted: 08 Jun 2021

Published online: 08 Sep 2022 *

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