Coordinated Rolling Scheduling of Source and Load for Regenerative Electric Heating in Accommodating Obstacled Wind and Solar Energy

The regenerative electric heating load has time shifts and continuous adjustability, which can be used as a demand-side resource to solve the problem of renewable energy consumption and clean heating in rural areas. The current peak-valley time-of-use electricity price cannot effectively guide the operation of electric heating to absorb the blocked scenery according to the change of source and load. Therefore, the scenario method is proposed to describe the uncertainty of wind-solar-load, and the time-of-use electricity price is determined according to the change of peak-valley period of source-load. Considering the problem of a high simultaneous rate of electricity consumption when the electric heating responds to the time-of-use electricity price, the demand-price elasticity coefficient is introduced. A day-ahead and daily endogenous load coordination optimization model with the minimum expectation of the operating cost of regenerative electric heating and the peak-valley difference of the system load is established, and the flexible resource output of each period is adjusted rollingly. Finally, the validity of the model is verified by simulation.