Bidding Model and Water Level Control Method for Cascade Hydropower Responding to Supply and Demand Fluctuations in Spot Market
With the continuous deepening of the reform of the electricity spot market in each province,how large-scale cascade hydropower station can exert its own regulation and storage capabilities in the spot market to respond to the power supply and demand fluctuations caused by the large-scale integration of renewable energy and load uncertainties,has become an important problem that major hydropower generation groups urgently need to solve.The complex market structure,prominent market position,multiple supply and demand uncertainties,and non-convex operation characteristics make the bidding problem in the hydropower spot market extremely complicated.The key lies in the refined modeling of the market environment and the power generation process.Therefore,a bidding model for the cascade hydropower is proposed to respond to the supply and demand fluctuations in the spot market.This model is a bi-level optimization model with a"one leader-multiple followers"structure,where the leader model(upper-level model)is used for bidding decision-making of cascade hydropower,and multiple follower models(lower-level models)simulate the day-ahead and real-time market clearing in multiple scenarios.Considering uncertainties in renewable energy output,load fluctuations,and other power station quotations,three modeling measures are proposed to achieve refined modeling of cascade hydropower and controllable water level fluctuations.By using the Karush-Kuhn-Tucker(KKT)conditions,the strong duality theorem and various linearization techniques,the original model is transformed into a mixed-integer quadratic programming(MIQP)problem that can be solved in finite time.The effectiveness and high performance of the proposed model are demonstrated through a case study based on the Lancang River in China.
cascade hydropowerelectricity marketspot marketmarket biddingwater level control
万方数据
维普
