基于粒子群优化的多目标发电调度

C. Rani, M. Rajesh Kumar, K. Pavan
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引用次数: 11

摘要

随着电力系统的发展,传统的优化方法难以解决的发电调度问题也随之发展。提出了一种简单有效的优化发电调度方法,使电网的燃料成本、环境成本和安全要求降到最低。该方法基于双准则全局优化和粒子群优化(PSO)技术。在3区互联纵向系统上进行了测试。利用MATLAB软件进行了仿真研究,验证了所提优化方法的有效性。将基于粒子群算法的方法扩展到根据双准则目标函数来评价发电燃料成本与环境成本之间的权衡曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-objective generation dispatch using Particle Swarm Optimisation
The advancement in power systems has led to the development of generation dispatch (GD) that is difficult to solve by classical optimisation method. The proposed paper work is to evolve simple and effective method for optimum generation dispatch to minimise the fuel cost, environmental cost and security requirement of power networks. The approach is based on the bi-criterion global optimisation and particle swarm optimisation (PSO) technique. The proposed technique is tested on 3-area interconnected and longitudinal system. The effectiveness of the proposed optimisation is verified in simulation studies using MATLAB software. The PSO based approach has been extended to evaluate the trade-off curve between the fuel cost of power production and the environmental cost according to the bi-criterion objective function.
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