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Reliability improvement of future microgrid with mixed load models by optimal dispatch of DGs

机译:通过分布式发电的优化调度,提高未来微电网混合负荷模型的可靠性

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摘要

This paper presents a novel dispatch strategy of distributed generators (DGs) in microgrid for reliability improvement. Energy index of reliability is considered for improvement along with minimization of system losses, system voltage deviation, and cost of DGs. These objectives depend on many criteria like price of DG power, renewable DG power availability, and system loading. The dispatch strategy is developed using bat optimization algorithm. The proposed algorithm is implemented for four seasons: winter, spring, summer, and autumn. For each season, hourly optimal schedules are obtained while maintaining reliability and optimizing objectives. Further, the proposed algorithm is tested for future load enhancement and future price of renewable DGs. The effect of the future load and renewable DG price changes on optimal DG dispatch is tested with IEEE 33 bus distribution system having mixed loads like industrial, residential, and commercial. The feasibility and benefits of the proposed technique are demonstrated with obtained results.
机译:本文提出了一种新的微电网分布式发电机调度策略,以提高可靠性。可靠性能指标被认为是在改善系统损耗,降低系统电压偏差和降低DG成本的同时进行改进的。这些目标取决于许多标准,例如DG电力的价格,可再生DG电力的可用性以及系统负载。调度策略是使用蝙蝠优化算法开发的。该算法针对四个季节(冬季,春季,夏季和秋季)实施。对于每个季节,在保持可靠性和优化目标的同时,可以获得每小时的最佳计划。此外,针对未来的负载增强和可再生DG的未来价格测试了该算法。未来负荷和可再生DG价格变化对最佳DG调度的影响已通过具有工业,住宅和商业等混合负荷的IEEE 33总线配电系统进行了测试。所获得的结果证明了该技术的可行性和益处。

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