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Distributed model for robust real-time operation of distribution systems and microgrids

机译:分布式模型,可实现配电系统和微电网的强大实时运行

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This paper presents a distributed robust operation method for a distribution system which has multiple microgrids. Combination of alternating direction method of multipliers and robust optimization methods is implemented on the proposed operation problem. The presented method by coordinating decisions which are made in the individual distinct sub-systems provides robust strategies for the participating in day-ahead and real-time markets. The strategies are determined using appropriate forecasts of renewable energy resources' generation power, load and market prices by implementing auto-regressive technique with exogenous variables. By using proposed real-time method, the operation schedules would be determined before the day-ahead and the real-time markets' clearing times. The objective function is to minimize the operation costs of distributed energy resources and day-ahead and real-time markets' transaction costs which is decomposed using alternating direction method of multipliers. Coordination between microgrids and distribution system operator and forecasting are simulated in MATLAB. Finally, through a linkage between MATLAB and GAMS optimization software, mixed integer linear programming based problems are solved using CPLEX over the GAMS. Numerical studies are established based on realistic test system and the efficiency of robust operation is confirmed with after-the-fact analysis.
机译:本文提出了一种具有多个微电网的配电系统的分布式鲁棒运行方法。针对所提出的运算问题,实现了乘法器交变方向法与鲁棒优化方法的结合。所提出的方法通过协调在各个不同子系统中做出的决策,为参与日前和实时市场提供了可靠的策略。通过使用带有外生变量的自回归技术,通过对可再生能源的发电量,负荷和市场价格进行适当的预测来确定策略。通过使用建议的实时方法,可以在提前一天和实时市场的清算时间之前确定操作时间表。目标功能是最大程度地降低分布式能源的运营成本以及日前和实时市场的交易成本,这些成本是通过乘数的交替方向方法分解的。在MATLAB中模拟了微电网与配电系统运营商之间的协调以及预测。最后,通过MATLAB与GAMS优化软件之间的联系,使用GALEX上的CPLEX解决了基于混合整数线性规划的问题。基于现实的测试系统建立了数值研究,并通过事后分析确认了鲁棒操作的效率。

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