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Reliability Evaluation of Smart Distribution Grids with Renewable Energy Sources and Demand Side Management

机译:可再生能源和需求侧管理的智能配电网格的可靠性评估

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Technical advances and reduced technology costs have led to a significant increase in the use of renewable energy-based distributed generators (DGs) in the existing distribution grids. Modern distribution grid operation is also related to the efforts and incentives to influence changes in customers' behavior and load use, known as demand side management (DSM). The effective implementation of renewable energy source (RES)-based DGs and DSM, particularly in microgrid operating modes, may benefit customers and distribution networks. This changes in the reliability performance of distribution networks owing to the integration of wind and photovoltaic DGs are evaluated in this study along with the implementation of load shifting and peak clipping DSM schemes for residential, commercial, and industrial load sectors. A reliability evaluation is based on energy not supplied and unavailability (hours per year), calculated by considering the seasonal changes in wind speed and solar irradiation, which are represented by their corresponding Weibull distribution functions. Load variations are incorporated using a normal distribution function. The reliability performances of different RES-based DGs and DSM schemes are evaluated using the non-sequential Monte Carlo simulation approach for modeling the random occurrence of faults in the system resulting in customer interruptions with the corresponding repair times required to restore the supply.
机译:技术进步和降低的技术成本导致在现有的分布网格中使用可再生能源的分布式发电机(DGS)的显着增加。现代化的电网运行也与影响客户行为和负载使用变化的努力和激励有关,称为需求侧管理(DSM)。可再生能源(RES)的DGS和DSM的有效实施,特别是在微电网运行模式中,可能会使客户和分销网络受益。在本研究中评估了由于风和光伏DG的集成而言,分配网络的可靠性性能的变化以及用于住宅,商业和工业负荷扇区的负载移位和峰值剪辑DSM方案的实施。可靠性评估基于未提供和不可用的能量(每年小时数),通过考虑风速和太阳照射的季节变化,由其相应的威布尔分布函数表示。使用正态分布函数并入负载变型。使用非顺序蒙特卡罗仿真方法评估不同RES基DGS和DSM方案的可靠性性能,用于在系统中的故障中进行模拟,从而导致客户中断恢复供应所需的相应修复时间。

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