Optimal Configuration of Static Phase-Changing Switches Based on Undominated Sorting Genetic Algorithm-Ⅱ
To address the issue of three-phase voltage imbalance caused by photovoltaic systems in low-voltage distribution networks,this paper proposes an optimal configuration method for static transfer switches(STS)based on the Non-Dominated Sorting Genetic Algorithm-Ⅱ(NSGA-Ⅱ).By considering the optimal deployment locations,the NSGA-Ⅱ algorithm is employed to optimize the number and placement of STS,maximizing cost-effectiveness.Simulation experiments were conducted on the IEEE 123-node test feeder to verify the method's effectiveness.The simulation results show that this method significantly reduces voltage imbalance and network losses in the IEEE 123-node test feeder.At various penetration levels,the maximum voltage imbalance along the feeder is reduced by 80%and 60%,respectively,while total energy losses decrease by(69.2～75.7)kWh.The proposed method demonstrates promising application potential in enhancing the operational efficiency and stability of distribution systems,providing strong support for the sustainable development of smart grids and renewable energy.
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