Distribution Network Energy Router System Optimal Scheduling Research

The large number of renewable energy and electric vehicles in the distribution network brings many challenges to the operation of the distribution network.As the core equipment in the distribution network,the energy router makes decision control on the source,network,load and storage in the distribution network through its optimal scheduling system.In this process,it is necessary to ensure not only the economy and environmental protection of energy scheduling,but also the stability of energy transmission.In order to improve the economic and environmental benefits of the distribution network,this thesis studies the energy management strategy of the energy router in the distribution network.Aiming at the application of energy router in distribution network of optical storage and charge park,this thesis proposes an energy router architecture based on physical layer and information layer and the corresponding energy router topology.And the equipment model in the distribution network of the park is established and studied.The energy router needs to meet the requirements of stable energy transmission during the optimal scheduling of energy router in distribution network,so the coordinated control of energy router is studied.The energy router studied in this thesis adopts a hierarchical control strategy,and the simulation verifies that the adopted hierarchical control strategy can stabilize the DC bus voltage of the energy router,so that the energy router can operate stably under various working conditions and improve the utilization rate of photovoltaic power generation.The electric vehicle battery is overcharged and overdischarged due to different initial State of Charge(SOC)when the electric vehicle is connected to the energy router,thereby shortening the battery life of the electric vehicle.The charge and discharge control strategy based on consistency algorithm is adopted to solve the SOC balance problem of multi-electric vehicles.The charge and discharge of electric vehicles in the energy router of the distribution network are guided,and the electric vehicles are divided into two models which conform to the travel probability model and obey the grid scheduling.In order to reduce the influence of unordered charge and discharge on the distribution network when electric vehicles are connected to the energy router of the distribution network,the energy router of the distribution network uses the peak and valley electricity price to guide its charge and discharge behavior,so as to realize the coordination of "source-network-load-storage" in the park.Simulation results show that the guiding strategy of EV charging and discharging behavior based on peak-valley electricity price is feasible and effective.Based on the coordinated control strategy of the energy router in the distribution network and the orderly charge and discharge guidance results of electric vehicles in the distribution network energy router,this thesis studies the optimal scheduling strategy of the energy router in the distribution network.Taking the lowest operating cost of the distribution network where the energy router resides as the objective function,the thesis improves the convergence factor of the traditional gray Wolf algorithm and adds adaptive dynamic weights.The optimal scheduling model is solved by improving the gray Wolf algorithm.Taking an industrial park as an example,the simulation results show that the optimized scheduling strategy can narrow the peak-valley difference of load curve,reduce the operating cost of distribution network,promote photovoltaic consumption,and improve the economic and environmental benefits of distribution network.