经济与排放联合调度问题的人工蜂群算法

S. Bhongade, Sourabh Agarwal
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引用次数: 3

摘要

摘要:印度的电力主要来自燃煤火力发电站和水力发电站。发电企业的主要目标是以最低的成本为用户提供优质可靠的电力。经济与排放联合调度问题涉及燃料成本和氮氧化物、硫氧化物等污染物排放的最小化。在我们的电力系统中,排放是造成的主要问题,这就是为什么现在我们从绿色能源或可再生能源,如阳光、风能、潮汐、波浪和地热能源转向。排放约束经济调度问题将排放限制作为附加约束,实现燃料成本的优化。本文采用人工蜂群(ABC)和遗传算法(GA)两种不同的优化方法对经济与排放联合调度问题进行了优化。本文提出的ABC算法已在ieee30总线和印度公用事业公司62总线系统上成功实现,并对仿真结果进行了比较,找到了解决经济与排放联合调度问题的有效算法。全文:PDF DOI: http://dx.doi.org/10.11591/ijape.v5.i3.pp111-119
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial Bee Colony Algorithm for an optimal solution for Combined Economic and Emission Dispatch problem
Abstract -- In India Electrical Energy is generated mainly Coal based Thermal Power stations and hydro Electric Power Stations. The main aim of power generating company is to provide good quality and reliable power to consumers at minimum cost. The problem of Combined Economic and Emission Dispatch  deals with the minimization of both fuel cost and emission of pollutants such as oxides of Nitrogen and Oxides of Sulphur. In our power system the emission is major problem created that’s why in now a days we move from green energy source or renewable energy such as Sunlight, Wind, Tides, Wave, and Geothermal Heat Energy. The Emission constrained Economic Dispatch problem treats the emission limit as an additional constraint and optimizes the fuel cost. In this paper we optimizes the Combined Economic and Emission Dispatch problem by using two different optimization method such as Artificial Bee Colony (ABC) and Genetic Algorithm (GA).The proposed ABC Algorithm has been successfully implemented is to IEEE 30 bus and Indian Utility sixty two Bus System The simulation result are compare and found the effective algorithm for Combined Economic and Emission Dispatch problem. Full Text: PDF DOI: http://dx.doi.org/10.11591/ijape.v5.i3.pp111-119
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