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Economic and environmental optimal operation of isolated multi-element complementary microgrid based on PSO with adaptive mutation

机译:基于PSO与自适应突变的分离多元素互补微电网的经济环境优化运行

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Standalone multi-element complementary microgrid plays a very important role in solving the electricity problems of many areas, which are rich in renewable energy but have problems in the power supply of traditional power grid. To ensure the reliability of power supply while improving overall economic and environmental operation in micro-grid system, we have to optimize the operation of the system according to actual conditions of the system. This paper considered operating costs of the system and gas pollution emissions, established an optimization model. And the dispatch strategies are designed. Finally, utilized adaptive mutation particle swarm optimization algorithm to solve operational problems. Specific case study results verified the reasonableness and effectiveness of the algorithm.
机译:独立的多元素互补Microgrid在解决许多领域的电力问题方面发挥着非常重要的作用,这些问题丰富可再生能量,但在传统电网的电力供应中存在问题。 为确保电源的可靠性,同时在微电网系统中提高整体经济环境运行,我们必须根据系统的实际条件优化系统的运行。 本文认为系统和气体污染排放的运营成本,建立了优化模型。 并设计了派遣策略。 最后,利用自适应突变粒子群优化算法来解决操作问题。 具体案例研究结果验证了算法的合理性和有效性。

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