Intelligence technique to solve combined economic and emission dispatch

R. Gopalakrishnan, A. Krishnan
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引用次数: 10

Abstract

A power system operation at minimum cost is no longer the only measure for electrical power dispatch. Combined Economic Emission Dispatch (CEED) problem is attained by considering both the economy and emission objectives with necessary constraints. The stability of the power system is also considered as an important factor in the performance of the power system. Several optimization techniques are slow for such complex optimization tasks and are not suitable for on-line use. This paper presents an effective optimization algorithm, for solving security constrained combined economic emission dispatch problem. Also, the power system stability plays an important role in power system. Power system stability criteria are also considered in this paper for better performance of the entire power system. In this paper, an efficient optimization technique called Modified Artificial Bee Colony Optimization is used to solve the CEED problem. The performance of the proposed approach is compared with the other optimization techniques. The experimental result shows that the proposed system results in better solution for CEED problem with the maintenance of system stability.
智能技术解决经济与排放相结合的调度
以最低成本运行电力系统已不再是电力调度的唯一标准。综合考虑经济目标和排放目标,并设置必要的约束条件,实现了经济排放调度问题。电力系统的稳定性也被认为是影响电力系统性能的重要因素。对于这种复杂的优化任务,一些优化技术是缓慢的,不适合在线使用。针对安全约束下的联合经济排放调度问题,提出了一种有效的优化算法。同时,电力系统的稳定性在电力系统中也起着重要的作用。为了提高整个电力系统的性能,本文还考虑了电力系统的稳定性准则。本文采用一种高效的优化技术——改进人工蜂群优化技术来解决CEED问题。将该方法的性能与其他优化技术进行了比较。实验结果表明,该系统在保证系统稳定性的前提下,较好地解决了CEED问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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