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Economic load dispatch via an improved Bacterial Foraging Optimization

机译:通过改进的细菌觅食优化分配经济负荷

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An economic dispatch is one of the most important research areas in power system. This is because an optimal power dispatch will contribute to a sound power system load management. As a result, the solution can ease the cost of fuel without ignoring the power operation constraints and system losses. Adaptive Tumble Bacterial Foraging Optimization (ATBFO) and Adaptive Mutation Bacterial Foraging Optimization (AMBFO), which are originally from basic Bacterial Foraging Optimization (BFO), are considered as alternative algorithms to minimize fuel cost. Thus, the two techniques are compared under the same parameters to determine the best optimal result. After several analyses on the results obtained, it was found that ATBFO outperformed AMBFO. Both of these adaptive bacterial foraging optimization techniques are tested on 26 bus Reliability test system using MATLAB R2009b on MS Window 7.
机译:经济调度是电力系统中最重要的研究领域之一。这是因为最佳的电源分配将有助于完善的电源系统负载管理。结果,该解决方案可以减轻燃料成本,而无需忽略动力操作约束和系统损耗。最初来自基本细菌觅食优化(BFO)的自适应滚筒细菌觅食优化(ATBFO)和自适应变异细菌觅食优化(AMBFO)被认为是使燃油成本最小化的替代算法。因此,将这两种技术在相同的参数下进行比较,以确定最佳的最佳结果。对获得的结果进行多次分析后,发现ATBFO的性能优于AMBFO。这两种自适应细菌觅食优化技术均在MS Window 7上使用MATLAB R2009b在26总线可靠性测试系统上进行了测试。

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