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Mitigating Distribution Power Losses of Standalone AC Microgrids Using Particle-Swarm-Optimization Control for Distributed Battery Systems

机译:使用分布式电池系统的粒子群优化控制来缓解独立AC微电网的分配功率损耗

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Distributed battery systems (DBS) are widely used in microgrids to compensate imbalanced active and reactive power flows, and for stabilizing bus voltages of microgrids with a high penetration of renewable energy sources (RES). In this paper, a particle-swarm-optimization (PSO) method is adopted as the secondary control of DBS in a standalone AC microgrid. The fitness function of the PSO algorithm contains the parameters of the bus voltage deviations and the power losses on the distribution lines. Through iteration, the bus voltage deviations and the power losses on the distribution lines are reduced, simultaneously. Importantly, the State-of-Charges (SOC) of the battery packs are also being taken into consideration and the battery packs are controlled by local controllers to prevent deep-discharge and over-charge. Both results from Matlab simulation and Real-Time Digital Simulator (RTDS) validate the effectiveness of the proposed control scheme in concurrently reducing the distribution power losses and meeting bus voltage regulations in AC microgrids.
机译:分布式电池系统(DBS)广泛用于微电网,以补偿不平衡的主动和无功功率流动,以及用于稳定微电网的总线电压,具有高可再生能源(RES)的渗透率。本文采用了粒子 - 群优化(PSO)方法作为独立AC微电网中DBS的二次控制。 PSO算法的健身功能包含总线电压偏差的参数和分配线上的功率损耗。通过迭代,分配线上的总线电压偏差和功率损耗同时减小。重要的是,还考虑电池组的电荷状态(SOC),并且电池组由本地控制器控制,以防止深放电和过充电。 MATLAB仿真和实时数字模拟器(RTDS)的结果验证了所提出的控制方案在同时降低AC微电网中的分配功率损耗和符合总线电压规范的效力。

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