Multi-obje Optimization Strategy for Distributed Energy Resources in Distribution Networks Based on a Two-Stage Model

Le résumé fourni par la source

With the rapid development of new energy, a large number of distributed generation (DG) are connected to the distribution network. As the number of DGs connected to the grid increases, it will exacerbate voltage fluctuations and instability in the power grid, which will directly lead to network losses and increased operating costs. To effectively reduce the operational costs for the power supply company and optimize the network’s losses, a two- stage model-based day-ahead optimization scheduling approach has been proposed. The first stage is the optimization scheduling stage of DG, which determines the unit combination of DG based on market electricity prices, DG operating costs, and the price of signing interruptible load (IL) contracts, as well as the purchase of electricity from the large power grid and IL reduction. The second stage focuses on reactive power optimization. In this stage, considering the reactive power characteristics of DG, the outputs of DG units and reactive power compensation devices are jointly optimized to ensure DG outputs remain within specified ranges while reducing distribution network losses. Simulation results conducted on a modified IEEE 33- node system demonstrate that the proposed two-stage day- ahead optimization scheduling model has reduced the network loss rate by 45%, further contributing to the reduction of operational costs for the power supply company.

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