Simulation and analysis on peak load regulation of office and living parks

Abstract With the rapid economic development and the rapid increase in human living demand, the load power is constantly increasing, and the range of change is also increasing substantially. The peak-valley difference of daily load is increasing, which brings challenges to the peak-shaving of the power grid. The microgrid can not only supply sufficient power to the load, but also track part load changes, and has good economic benefits. Due to both of the variety of load types and the capacities of loads, the problem of peak shaving in the microgrid has also emerged. Using “source load” peak shaving to relieve peak shaving pressure is a good approach. This paper takes the minimum load fluctuation rate as the objective function, and uses the improved particle swarm optimization algorithm to simulate the peak load regulation in office and living parks. The results show that the “source load” peak shaving can make the load curve smoother. It is effective for “source load” to participate in peak shaving.