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Optimal sizing of autonomous hybrid PV system with considerations for V2G parking lot as controllable load based on a heuristic optimization algorithm

机译:基于启发式优化算法的以V2G停车场为可控负荷的自主混合光伏系统最优规模

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摘要

Hybrid energy systems such as PV-battery-diesel have been identified as an effective option to solve the power-supply problem and, therefore, the optimal sizing of such hybrid PV systems becomes important. Also, activities related to the demand side of the power system such as demand response programs are interested and, electric vehicle to grid (V2G) parking lot as a controllable load unit is recently used with demand response potential through charging and discharging V2Gs according to electricity price variations. The goal of this study is to develop and examine a heuristic optimization algorithm to solve the optimal sizing for hybrid PV-battery-diesel system with considerations for V2G parking lot as a controllable load. Simulation results show that utilization of V2G parking lot can reduce total cost for optimal sizing of hybrid PV-battery-diesel system by 5.21%.
机译:混合能源系统(例如PV-电池-柴油)已被视为解决电源问题的有效选择,因此,此类混合PV系统的最佳尺寸变得很重要。另外,与电力系统的需求方相关的活动(例如需求响应程序)也引起了人们的兴趣,最近,作为可控负载单元的电动汽车到电网(V2G)停车场已通过根据电力对V2G进行充电和放电而具有需求响应潜力价格变化。这项研究的目的是开发和检验启发式优化算法,以解决将V2G停车场作为可控负载的混合光伏-电池-柴油系统的最佳尺寸。仿真结果表明,V2G停车场的使用可以使混合光伏-电池-柴油系统最佳尺寸的总成本降低5.21%。

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