Research Model Predictive Control-Based Optimization Strategy for Low Voltage Distribution Network Operation
In response to the extensive integration of rural photovoltaic systems into the current distribution network,which,coupled with adverse weather conditions,leads to a drop in PV output and subsequently lower distribution network voltage,this paper proposes a distributed model predictive control strategy for electric vehicle charging piles to participate in reactive power support.By employing edge computing,this strategy enables coordinated responses from the charging piles to improve the voltage levels of the distribution network.The strategy builds a mathematical model for reactive power support of the charging piles based on instantaneous power theory and uses model predictive control algorithms to determine the optimal power settings for each charging pile.By exchanging voltage and power information among the piles,the strategy achieves coordinated optimization,enhancing voltage regulation effects.Simulation results demonstrate that the proposed optimization strategy effectively reduces system voltage deviations and improves the reliability without affecting the charging needs of electric vehicles.
distribution networkreactive power optimizationcharging pilemodel predictive control
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