Optimization Calculation of AGC Coordination Factor of Photovoltaic-Thermal-Hydro Unit Based on Multi-Objective Particle Swarm Optimization Algorithm

With more and more renewable energy is being connected to the power system, the traditional synchronous units will be replaced, and the system inertia and frequency regulation capability will decline, which will bring unsafe factors to the power system. To ensure the stability and economy of the power system, it is necessary to coordinate the renewable energy system which does not participate in the frequency regulation with the traditional synchronous units to control system frequency accurately. This paper considers the characteristics of the photovoltaic, thermal, hydro unit of the secondary frequency regulation's process, then builds the objective functions of the system economy and stability, and through improved multi-objective optimization of particle swarm algorithm (MOPSO) for the output of the photovoltaic, thermal, hydro unit. Getting different strategy of frequency regulation in the Pareto frontier according to the Pareto theory. Finally, an IEEE 9-node simulation system including the photovoltaic-thermal-hydro unit is constructed in DIgSILENT software. The simulation indicates the effectiveness of the strategy and provides the guiding significance for renewable energy to participate in the frequency regulation of the power system.