Research on Self-scheduling Operation of Combined Heat Power Plants Participating in Down-Regulation Ancillary Service Market Considering Uncertainty

The paper researched a combined heat power (CHP) plant participating in the down-regulation auxiliary service market as a price-taker during heating period. Aiming at the forecast price error of the market, how to balance the quotation risk and profit of the plant were studied. The improved covariance matrix (ICM) is proposed that could quantify the risk caused from the price forecast error. Accounting the risk, a self-scheduling operation strategy model of the CHP plant is established. Based on a CHP plant and the actual data from the down-regulation ancillary service market in Northeast China, a calculation example was constructed to verify the effectiveness of the ICM. Furthermore, the quotations of the CHP plant participated in the down-regulation ancillary service market in different scenarios are given, and the ability to avoid risk caused from forecast error of the model is analyzed.