Solution of Combined Economic Emission Dispatch with Demand Side Management Using Meta-heuristic Algorithms

被引：0
作者：
Goyal G.R. [1 ]
Vadhera S. [1 ]
机构：
[1] Department of Electrical Engineering, National Institute of Technology, Kurukshetra
来源：
Journal Europeen des Systemes Automatises | 2019年 / 52卷 / 02期
关键词：
Demand side management; Economic emission dispatch; Load reduction; Meta-heuristic algorithm;
D O I：
10.18280/jesa.520205
中图分类号：
学科分类号：
摘要：
This paper deals with application of meta-heuristic algorithms to resolve the problem of combined economic emission dispatch (CEED) with peak load management for a medium-sized power system in an efficient manner. The objective is to optimize the fuel cost of generation simultaneously minimizing the environmental pollution caused by fossil fuel based power generating units working at their peak limits. In this paper combined problem of minimizing fuel cost and emission of flue gases (NOx, CO2, SO2), is solved using Cuckoo search (CS) and Grasshopper optimization algorithm (GOA) via composite function of all four objectives with help of weight ratios and price penalty factors. Demand Side Management (DSM) measure is also applied at least expensive areas to manage the peak load condition at generating units. The problem is implemented on IEEE 30-bus system with 6 generator units. The simulation results of the CS algorithm for CEED with and without DSM have been compared with the results of GOA algorithm. The compound results obtained by CS algorithm for the problem of CEED with DSM validated its potential. © 2019 Lavoisier. All rights reserved.
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页码：143 / 148
页数：5
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