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Reliability evaluation in multi-microgrids under probabilistic optimum operation using heuristic algorithm

机译:启发式算法在概率最优操作下的多微电网可靠性评估

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In this paper, Multi-Microgrids (MMG) are considered as future smart distribution grids, in which small scale energy resources (SSER) are main power generation units with small scales. Optimal operation of microgrids in defined intervals is carried out to achieve economic conditions in distribution systems. The defined operating problem is optimized using a heuristic algorithm considering uncertainties in loads and renewable energy resources (RERs). The probability density functions (PDFs) are used to encounter with the uncertainties. The total cost of the network is minimized by the algorithm. Then the reliability evaluation is done for each MG. Some new introduced reliability indices in the literature for MGs are used to evaluate the MGs reliability and costs. In proposed structure, the MGs are in interconnected mode and there is power exchanging between MGs. The particle swarm optimization (PSO) algorithm is applied to optimal power dispatch and the obtained results are compared by Monte Carlo simulation (MCS) method.
机译:在本文中,多微电网(MMG)被认为是未来的智能配电网,其中小规模能源(SSER)是小规模的主要发电单元。在定义的时间间隔内进行微电网的最佳运行,以实现配电系统中的经济条件。考虑到负载和可再生能源(RER)的不确定性,可使用启发式算法对定义的运行问题进行优化。概率密度函数(PDF)用于遇到不确定性。该算法将网络的总成本降至最低。然后,对每个MG进行可靠性评估。 MG文献中一些新引入的可靠性指标用于评估MG的可靠性和成本。在所提出的结构中,MG处于互连模式,并且MG之间存在功率交换。将粒子群算法(PSO)应用于最优功率分配,并通过蒙特卡罗模拟(MCS)方法对获得的结果进行比较。

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