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Economic dispatch of micro-grid based on improved particle-swarm optimization algorithm

机译:基于改进粒子群优化算法的微电网经济调度

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For micro-grid system under isolated and parallel operation mode, two kinds of economic dispatch operation model are established. The objective function of the model is formulated considering time-of-use (TOU) price and the electric energy transaction. The theory of particle swarm optimization (PSO) is proposed, and the key parameters are improved to enhance the performance of the algorithm. An actual case study with typical daily load data from a specific micro-grid is selected to examine the performance of the improved PSO(IPSO) algorithm. The effectiveness of the IPSO is verified through the comparison of optimization results. Under parallel mode, the operation cost of the micro-grid decreases 2.9% by applying IPSO algorithm, comparing to the one of PSO, while the operation cost is only 2.7% from original algorithm under islanding mode.
机译:针对隔离并行运行模式下的微电网系统,建立了两种经济调度运行模型。该模型的目标函数是根据使用时间(TOU)价格和电能交易制定的。提出了粒子群优化理论(PSO),并对关键参数进行了改进,以提高算法的性能。选择具有来自特定微电网的典型每日负荷数据的实际案例研究,以检查改进的PSO(IPSO)算法的性能。通过比较优化结果来验证IPSO的有效性。在并行模式下,与PSO相比,采用IPSO算法使微电网的运行成本降低了2.9%,而在孤岛模式下,微电网的运行成本仅为原始算法的2.7%。

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