A data-driven strategy for economic analysis of peak regulation based on cyber physical system

With the integration of wind and solar power energy, the power grid is facing the challenge of peak regulation. In this paper, we focus on the systematic method for applying cyber physical system on the economic peak regulation strategy of coal-fired power plants in the Northwest China power grid. A data-driven approach is applied to modeling the integrated performance of each device. The levelized cost of energy during peak regulation process is acquired by the economic analysis under various boundary conditions. The operational data, weather condition and grid load demand are considered simultaneously for giving the compensation price to the power grid in peak regulation process. The result shows that the net earned money for different compensate price ranges from −5,000 CHY/kWh to 30,000 CHY/kWh and the net earned money under any boundary conditions can be given by the cyber physical system.