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Economic and Emission Dispatch with renewable energy using HSA

机译:使用HSA的可再生能源发出经济和排放派遣

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摘要

The meta-heuristic methods are very efficient for the search of global solution for complex problems better than deterministic methods. In this work, we applied a novel meta-heuristic with Harmony search algorithm, this technique is used on a power network, in which renewable energy was injected. To validate the robustness of the proposed approach, the proposed algorithm is tested on the norm IEEE 30-bus, with three cases, minimization of fuel cost, emission of gaz and integration of renewable energy into the electrical network. Comparison of the results with recent global optimization methods show the superiority of the proposed approach and confirm its potential for solving practical optimal power flow in terms of solution quality and convergence characteristics.
机译:元 - 启发式方法非常有效地搜索全局解决方案,以便比确定方法更好地获取复杂问题。在这项工作中,我们用和谐搜索算法应用了一种新的元启发式,这种技术用于电力网络,其中注入可再生能量。为了验证所提出的方法的稳健性,所提出的算法在规范IEEE 30公交车上进行了测试,三种情况下,最小化燃料成本,GAZ排放和可再生能量进入电网。结果与最近的全局优化方法的结果显示了所提出的方法的优越性,并确认其在解决方案质量和收敛特性方面解决实用最佳功率流动的可能性。

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