The randomness, volatility and un-dispatch ability of large-scale new energy connected to the grid have caused a series of problems with the stable operation of the grid and great difficulties with power dispatch. The configuration of the energy storage power station and substation is studied through the metering and reliable capacity planning method of energy storage power station and substation capacity planning. This will improve the level of utilization of grid assets and promote the coordinated development of new energy, energy storage and the grid.
Distribution network plays the role of distributing electric energy in the power system, whether it can run normally relates to people’s production and life. In recent years, frequent natural disasters have caused large-scale failures of distribution networks, resulting in the interruption of a large number of load power supply, which has a huge impact on people’s lives and post-disaster recovery work. Therefore, it is very important to formulate scientific and efficient emergency repair strategies. This paper will study the power supply recovery and multi-fault rush repair of distribution network respectively from the two aspects of load grade and the economy of power grid operation, establish mathematical model, and use particle swarm optimization algorithm to solve, so as to provide a more efficient emergency plan for power supply recovery after disaster.
With the increasing frequency of extreme weather caused by energy problems, the number of large-scale power outages caused by natural disasters is increasing, which brings greater challenges to the problem of system failure recovery. In recent years, the influx of controllable loads such as demand-side resources such as electric vehicles and energy storage equipment into the electricity market has further enriched the resources and means available for grid fault recovery. Therefore, considering the active participation of power users in the fault recovery of the distribution network, this paper establishes a controllable load model, and at the same time uses the power generation ratio to assess the direct loss of the lost power users, and then assess its importance. In the final solution, the active distribution network recovery power supply strategy with controlled load participation can be solved. Simulation analysis of IEEE33 node system shows that the proposed strategy established can make full use of the user-side demand response resources to prioritize the recovery of important loads, reduce the loss caused by power loss, and improve the recovery efficiency of the distribution network.
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