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Minimization of Total Operation Cost and the Risk of Shedding in Microgrids

机译:最小化总运营成本和微电网中脱落的风险

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The objective of this paper is to determine and minimizes the total operation cost and the risk of load shedding in a microgrid (μG) composed of two areas: a generation center and a load center. The system operation is formulated as an optimization problem, where the objective function minimizes the costs of the system operation and the risk of load shedding. The constraints secure the balance between generation and load. Also generation and transmission may not exceed the available capacity. Monte Carlo simulation (MCS) is used for the solution of the optimization problem giving two main outputs: loss of load occasion (LOLO) and total operation cost (TOC). A variance reduction technique is used to reduce the variance of MCS. One other objective of the paper is to study how much the simulation efficiency can be improved by introducing variance reduction techniques. Simulation results shows that, (i) the formulated optimization problem, objective function, and constraints is capable to achieve the study target, and (ii), with even a quite straightforward and simple model the proposed MCS methods show considerable variance reductions compared to Simple sampling in this model of the μG.
机译:本文的目的是确定并最大限度地减少由两个区域组成的微电网(μg)中的总操作成本和负载脱落的风险:一代中心和负载中心。系统操作被制定为优化问题,其中目标函数最小化系统操作的成本和负载脱落的风险。约束保护生成和负载之间的平衡。也可以产生和传输可能不超过可用容量。 Monte Carlo仿真(MCS)用于解决优化问题,给出两个主要输出:负载场合丢失(LOLO)和总操作成本(TOC)。方差减少技术用于降低MCS的变化。本文的另一个目的是通过引入方差减少技术来研究可以提高模拟效率。仿真结果表明,(i)配制的优化问题,客观函数和约束能够实现研究目标,(ii),即使是相当简单和简单的型号,所提出的MCS方法也表现出相当大的方差减少,而简单地表现出相当大的方差减少在μg的这种模型中抽样。

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