Hybrid GA-PSO Optimization for Energy Router Scheduling in Distribution Networks

With the increasing integration of distributed generation sources, such as photovoltaics and wind power, into distribution networks, the need for efficient and flexible energy management systems has become more critical. This paper presents an optimization scheduling strategy based on energy routers, designed to enhance the efficiency and reduce operational costs within distribution networks. A hybrid optimization strategy that combines GA and PSO is applied in the model put forward in this paper, optimizing energy distribution while accounting for dynamic relations of renewable energy, energy storage, and EV charging. A case study of an industrial park demonstrates the effectiveness of the proposed strategy in smoothing load curves, minimizing costs, and improving the integration of PV generation. This work provides insights into optimizing energy router control and scheduling to achieve better economic and operational performance in modern power distribution networks.