Modelling PV system with Electric Vehicles in a Micro Grid

The increasing integration of plug-in electric vehicles (PHEVs) and photovoltaic (PV) systems into power grids poses significant challenges to generation-demand balance and grid stability. This paper proposes an innovative PHEV load model and a PV generation model for residential prosumers to analyze the security constraints of solar-powered systems with PHEVs in a microgrid. The PHEV load model incorporates realistic factors such as consumer work status by age, characteristics of various PHEV brands, and charging patterns on weekdays versus weekends. Similarly, the PV generation model integrates diverse solar PV characteristics and stochastic calculations of the clearness index to simulate generation profiles. Using an extended 33-bus microgrid test system, the study evaluates grid security by analyzing voltage magnitude, reverse power limits, and generation adequacy. Key findings highlight reverse power limits and transformer capacity as critical restrictive factors, particularly without grid transactions. The study also explores optimal economic schemes by promoting generation adequacy analysis, emphasizing the importance of a well-designed trading system. This work provides valuable insights into managing the intermittent nature of solar power and the growing demand from PHEVs, offering a foundation for future research on grid stability and economic optimization in renewable energy-integrated microgrids.

The increasing integration of plug-in electric vehicles (PHEVs) and photovoltaic (PV) systems into power grids poses significant challenges to generation-demand balance and grid stability. This paper proposes an innovative PHEV load model and a PV generation model for residential prosumers to analyze the security constraints of solar-powered systems with PHEVs in a microgrid. The PHEV load model incorporates realistic factors such as consumer work status by age, characteristics of various PHEV brands, and charging patterns on weekdays versus weekends. Similarly, the PV generation model integrates diverse solar PV characteristics and stochastic calculations of the clearness index to simulate generation profiles. Using an extended 33-bus microgrid test system, the study evaluates grid security by analyzing voltage magnitude, reverse power limits, and generation adequacy. Key findings highlight reverse power limits and transformer capacity as critical restrictive factors, particularly without grid transactions. The study also explores optimal economic schemes by promoting generation adequacy analysis, emphasizing the importance of a well-designed trading system. This work provides valuable insights into managing the intermittent nature of solar power and the growing demand from PHEVs, offering a foundation for future research on grid stability and economic optimization in renewable energy-integrated microgrids.