Unscheduled Intentional Islanding in Microgrid using Trust Region based Sequential Linear Programming

Abhisek Mishra, P. Jena
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Abstract

In this paper, a novel Trust Region based Sequential Linear Programming (TRSLP) method is proposed for unscheduled intentional islanding in microgrid. In unscheduled islanding, the solution must be obtained with minimum time and minimum load curtailment by maintaining all the system parameter constraints intact. First, the unscheduled intentional islanding is formulated as a nonlinear constrained optimization problem. Then, the TRSLP based optimization method is employed to obtain the final switching sequence of the network so that intentional islanding can be done in optimal manner. The objective function of the optimization problem is to minimize the amount of load curtailment. To validate the proposed technique, a 7-bus microgrid test system is simulated in Real-Time Digital Simulator (RTDS) and corresponding system parameters are further used in the TRSLP optimization technique to get the optimal islanding area.
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基于信任域的序贯线性规划微电网非计划故意孤岛
针对微电网中计划外孤岛问题,提出了一种基于信任域的序列线性规划(TRSLP)方法。在非计划孤岛中,必须在保持所有系统参数约束不变的情况下,以最小的时间和最小的负荷削减获得解。首先,将计划外有意孤岛问题表述为一个非线性约束优化问题。然后,采用基于TRSLP的优化方法得到网络的最终交换顺序,以最优方式实现有意孤岛。优化问题的目标函数是使减载量最小。为了验证所提出的技术,在实时数字模拟器(RTDS)中对一个7总线微电网测试系统进行了仿真,并将相应的系统参数进一步应用于TRSLP优化技术中,得到了最优孤岛面积。
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