Load Aggregator Demand Response-Based Electricity Sales Strategy Considering WPC-CERI

Building a new power system dominated by renewable resource is the main approach to make the dual carbon goal come true. Nevertheless, deviation exists in the forecast of large-scale grid-connected wind power output, which imposes severe challenges for the electricity sales of load aggregators bearing certain absorption responsibility weight. Hence, demand response is introduced into the electricity sales strategy of load aggregators to help guide user’s consumption behavior and effectively reduce the problems from deviation in clean energy forecast. First taking into account the hourly correction of wind power forecast, this paper proposes a carbon emission reduction integration model oriented to users’ electricity consumption behavior which considers circumstance of wind power absorption. Secondly, a load aggregator - user model is constructed based on the rolling correction WPC-CERI (Wind Power Consumption - Carbon Emission Reduction Integration) for hourly correction of aggregator’s electricity sale price and users’ electricity consumption. Then, the two-layer model is converted into a single-layer one through KKT, and optimize the solution through IPOPT solver. The final example suggests that it is a feasible model to optimize the demand response package for load aggregators, mitigate the customer-side load demand, further absorb wind power and diminish carbon dioxide discharge.