Peak Operation Problem Solving for Hydropower Reservoirs by Elite-Guide Sine Cosine Algorithm with Gaussian Local Search and Random Mutation

Shuai Liu,Wen-Jing Niu,Zhen-Guo Song,Hai-Rong Zhang,Zhong-Kai Feng

doi:10.3390/en12112189

Abstract

In recent years, growing peak pressure is posing a huge challenge for the operators of electrical power systems. As the most important clean renewable energy, hydropower is often advised as a response to the peak loads in China. Thus, a novel hybrid sine cosine algorithm (HSCA) is proposed to deal with the complex peak operation problem of cascade hydropower reservoirs. In HSCA, the elite-guide evolution strategy is embedded into the standard sine cosine algorithm to improve the convergence rate of the swarm. The Gaussian local search strategy is used to increase the diversity of the population. The random mutation operator is adopted to enhance the search capability of the individuals in the evolutionary process. The proposed method is applied to solve the complex peak operation problem of two hydropower systems. The simulations indicate that in different cases, HSCA can generate the scheduling results with higher quality than several benchmark methods. Hence, this paper provides a feasible method for the complex peak operation problem of cascade hydropower reservoirs.

Highlights

Economic development and social progress are closely linked with the energy industry
The results show that mixing strategies can effectively improve the local exploration and global search abilities of the standard
From the above simulated results, it can be clearly found that the developed method has better performances than several benchmark methods

Summary

Introduction

Economic development and social progress are closely linked with the energy industry. Nuclear plants cannot respond to the rapid load change at peak periods due to their relatively low flexibility. The power generation of renewable energy (like wind and solar) is usually affected by the weather situation [5,6,7]. Compared with the above energies, hydropower is seen as one of the most important environment-friendly and pollution-free energy sources since it has the advantages of low operating cost and multiple comprehensive benefits (like flood control, power generation, water supply, shipping and irrigation) [8,9,10]. China are selected further test the performance of the method, including. Further test the performance of the HSCA method, including Hongjiadu (HJD), Dongfeng (DF) and Suofengying (SFY), Wujiangdu (GPT).

Methods

Discussion

Conclusion