Optimal Capacity Configuration of Electric Boiler and Heat Storage System Considering Peak-shaving Benefit under Wind-Load Combination Scenario

By means of good peak load regulation characteristics of heat storage system, the rigid constraint of determining the generating capacity by the heating load in combined heat and power (CHP) generation units can be broken, and reasonable allocation of electric boilers and heat storage systems can effectively improve the capability of wind power accommodation in regional power grid. Firstly, comprehensively considering the uncertainty of wind load, a heuristic moment matching (HMM) based time series scenario of wind-load combination was constructed, and on this basis a bi-level programming model for optimal allocation of electric boilers and heat storage systems, in which the peak-shaving benefit was taken into account, was established. Secondly, for the upper level the maximized annualized earning of peak load regulation by the thermal power plant to be planned was taken as the objective, and for the lower level the minimized wind curtailment penalty cost and total fuel cost under composition scenario S was taken as the objective, and the relevant constraints of the CHP system were taken as constraint conditions. Finally, the particle swarm optimization (PSO) was utilized to optimize and solve the proposed model to obtain the optimal allocation plan of electric boilers and heat storage systems. Simulation results show that both wind power accommodation rate and the overall revenue can be effectively improved by rationally allocation of electric boilers and heat storage systems.