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Stochastic energy scheduling of multi-microgrid systems considering independence performance index and energy storage systems

机译:考虑独立性能指标和能量存储系统的多微电网系统的随机能量调度

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This paper presents a cooperative strategy for the energy management of the networked microgrids. The proposed strategy considers the daily cost of the system, energy not supplied, and the independence of microgrids to determine the best plan for the microgrids. The operator of the microgrids prioritizes its objective to the main and secondary objectives. Since the total cost of microgrids has high importance, it has been considered as the main objective. However, the energy not supplied and the independence of microgrids are the secondary objectives that have the ability to be optimized in a limited space. This cooperative strategy allows microgrids to share their local resources and minimizes the total cost of microgrids. Stochastic optimization is performed to handle the uncertain nature of market prices and renewable generation. Also, the optimal Pareto solutions are ranked using the paired comparison matrix and technique for order of preference by similarity to ideal solution. To evaluate the efficiency of the proposed strategy, it has been tested on a sample multi-microgrid system. The simulation results show that the proposed model is able to improve the amount of energy supplied, power losses, and independence of the system by 71.5 %, 8.19 %, and 4%, respectively.
机译:本文介绍了网络微电网的能源管理的合作策略。该拟议的策略考虑了系统的每日成本,未提供能量,以及微电网的独立性,以确定微电网的最佳计划。微电网的操作员优先考虑其目标和次要目标。由于微电网的总成本高,因此被认为是主要目标。然而,未提供的能量和微电网的独立性是具有在有限空间中优化的能力的次要目标。这种合作策略允许微电网分享其本地资源,并最大限度地减少微电网的总成本。执行随机优化以处理市场价格和可再生生成的不确定性质。此外,最佳的Pareto溶液使用配对的比较矩阵和技术以相似性与理想解决方案的相似性排序进行排序。为了评估所提出的策略的效率,已经在样本多微电网系统上进行了测试。仿真结果表明,该模型能够将系统的能量,功率损失和独立量分别提高71.5%,8.19%和4%。

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