采用智能水滴连续优化算法的经济与排放相结合调度

2011 INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN ELECTRICAL, ELECTRONICS AND CONTROL ENGINEERING Pub Date : 2011-12-01 DOI:10.1109/ICONRAEECE.2011.6129749

P. Nagalakshmi, Y. Harish, R. Kranthi Kumar, C. Jada

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引用次数: 8

摘要

提出了一种新的优化技术IWD-CO，用于解决经济与排放联合调度(CEED)的优化问题。经济负荷调度是经济负荷调度和排放调度的结合，其目的是在满足负荷条件和其他约束的情况下，使发电机组的燃料成本和排放成本最小化。该算法的灵感来自于自然河流的动态。这里的代理是水滴，它们被用来在搜索空间中找到最优路径。IWD-CO是解决大型发电机组电力系统的有效方法。在3台和6台发电机组上进行了测试，结果令人满意。将IWD-CO算法与遗传算法(GA)和粒子群算法(PSO)进行了比较，验证了算法的有效性。

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Combined economic and emission dispatch using intelligent water drops-continuous optimization algorithm

This paper presents a new optimization technique IWD-CO to solve an optimization problem Combined Economic and Emission Dispatch (CEED). The CEED is a combination of Economic Load Dispatch and Emission Dispatch which aims at minimization of the fuel cost and emission cost of generating units while satisfying the load conditions and other constraints. The present algorithm is inspired from the natural river dynamics. Here the agents are water drops and they are used to find the optimal path in the search space. The IWD-CO is used in an efficient manner to solve large generating unit power system. The results of the IWD-CO to solve CEED are tested with 3 and 6 generator power systems and they are satisfactory. IWD-CO results are also compared with the Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to show the effectiveness of algorithm.

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来源期刊

2011 INTERNATIONAL CONFERENCE ON RECENT ADVANCEMENTS IN ELECTRICAL, ELECTRONICS AND CONTROL ENGINEERING

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