Multi-source AGC coordination optimization method with Wind-PV-Hydro-Thermal based on multi-objective particle swarm optimization algorithm
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
In order to realize the coordinated control of conventional AGC and renewable energy AGC under the high penetration of renewable energy to grid, this paper proposes an AGC multi-objective coordination optimization method with Wind-PV-Hydro-Thermal. This method not only ensures the economic operation of the power grid, but also considers the frequency quality and power transmission capacity of the grid. Firstly, based on the long-term AGC historical data in a certain region, the regulate frequency characteristics of different types of units are analyzed, and the regulate frequency indexes are calculated. Secondly, based on the requirements of the "Two Rules" of the Central China Power Grid, using the regulate frequency cost, power loss cost, regulate frequency speed and regulate frequency accuracy as objectives, a multi-objective AGC active power coordination optimization model including Wind-PV-Hydro-Thermal is proposed. Finally, considering the power grid structure and AGC data in an inland region, the model is solved using the multi-objective particle swarm algorithm, and the active power of each AGC station is obtained, verifying the effectiveness of the proposed method in this paper.
