A virus-evolutionary differentiated-PSO approach for short-term generation scheduling with uncertainties

Abstract

SUMMARYThis paper presents a virus-evolutionary differentiated-particle swarm optimization approach for short-term generation scheduling with uncertainties consideration. Different from the traditional power generation scheduling problems, the paper considers the characteristics of the change of atmospheric flow at day and night. This paper also considers the uncertainties in the load demand, available water in the reservoir, wind speed, and radiation. This paper studies on the best dispatch both economic and emission, which include two objective functions of generation cost and emission cost at different time periods. The proposed method that combines differentiated-particle swarm optimization with virus-evolutionary technique can expand the scope and increase the diversity of search. The study system comprises 10 thermal units, seven hydro units (including one pumped-storage hydro unit), one equivalent wind energy system, and one equivalent solar energy system. The results from the proposed method are compared with those from other intelligent algorithms. The test results show that the proposed method can indeed obtain a better solution.

Optimal sizing and operation of battery storage for economic operation of hybrid power system using artificial bee colony algorithm

“…To address the energy scheduling in HPS with intermittency of RES, various heuristic algorithms have been applied . A priority‐based concept is presented in Kani et al for energy scheduling in real time to improve the microturbine (MT) efficiency and reduce the environmental impacts in an islanded WP‐MT‐BS system.…”

“…Shi et al converted energy management into optimal power flow problem by dispatching energy through the central and local controller of the microgrid in the distribution network. In Liang et al, a virus evolutionary‐differentiated PSO is implemented to minimize the operational and emission costs for generation scheduling of HPS, involving the uncertainties of RES, load, and water availability.…”

“…The optimal elements sizing and energy scheduling in HPS are discussed in Moghaddam and Chowdhury, Fossati et al, Shang et al, Shang et al, Xiao et al, Paliwal et al, Askarzadeh and Coelho, Kazem and Khatib, Yazdanpanah‐Jahromi et al, Behzadi and Niasati,. Kani et al Guangke et al, Luna et al, Wu et al, Tan et al, Shi et al, and Liang et al The literature specifically discusses about BS sizing for RES. But, these papers are lacking in precisely defining the element costs and considering various operational costs such as penalties and incentive costs simultaneously to size the BS in diverse wind conditions.…”