结合风力-太阳能发电机组的短期热液改进启发式技术

S. Kar, D. Dash, M. K. Nath, Renu Sharma
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引用次数: 0

摘要

本文提出了基于混沌的快速进化规划(CBFEP)方法来求解包括热、风、太阳能发电系统在内的多区域经济调度问题。该系统还包括电池储能系统、并线约束和传输损耗。CBFEP算法遵循高斯突变和柯西突变原理。考虑两种不同类型的测试用例,验证和测试了所提出方法的有效性。然后将测试结果与差分进化(DE)和粒子群优化(PSO)的结果进行匹配。通过对比分析,发现所提出的CBFEP方案能够提供更好的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Heuristic technique for short term hydrothermal together with wind-solar generating power units
This article recommends Chaotic Based Fast Evolutionary Programming (CBFEP) to obtain the solution for multi-area economic dispatch (MAED) problems including thermal, wind, and solar power system altogether. The system also includes a battery energy storage system, constraints for tie line, and losses in transmission. CBFEP algorithm follows the principles of Gaussian mutation and Cauchy mutation. The effectiveness of this proposed approach is verified and tested considering two different types of test cases. The results of the tests are then matched with the results already obtained from differential evolution (DE) as well as particle swarm optimization (PSO). From comparative analysis, this has been realized that the suggested CBFEP can provide a better solution.
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