Research On Strategic Bidding Of CHP Plants In Electricity Market With Carbon Trading

In order to achieve the goals of "carbon peak" and "carbon neutrality",China actively explores and takes measures to control carbon emissions,builds and continuously improves the carbon trading market,and guides the whole society to participate in carbon emission reduction actions through a market-based carbon trading mechanism.With the coexistence of the marketization of the eletricity industry and the carbon emissions trading,the trading decisions of power generation companies will inevitably be affected by the interaction of the electricity market and the carbon market.Considering that in our country,thermal power is still the most important form of power generation,at the same time,it has become a trend to transform small-capacity thermal power units into CHP units at this stage.Therefore,this thesis ’takes the CHP unit as the research subject to formulate a bidding strategy on the day-ahead market considering the carbon emission trading mechanism,so that they can reasonably use market power to influence market clearing prices to maximize profits.This thesis firstly reviews the current research on the carbon market and bidding strategy.Then,the electric-thermal combined characteristics,coal consumption cost and carbon transaction cost of CHP units are analyzed,and a generation cost model considering carbon transaction for the unit is constructed.Based on the Stackelberg model and the bi-level programming,this thesis proposed a bi-level optimization model of strategic bidding for a CHP plant considering carbon trading,including reasonable model assumptions,optimization goals and related constraints.The upper-level model is based on the goal of maximizing the profit of the plant in one day,and comprehensively considers the profit of power supply,heating supply and carbon trading,and fully considers the synergistic relationship between heat and power of CHP units,the characteristics of bidding decisions,and operation constraints.The lower-level model is the day-ahead market clearing model,which takes the minimization of the total electricity purchasing cost as the objective function and the safe and stable operation of the power grid as the constraint condition.For the solution of the model,according to the mathematical characteristics of the proposed bi-level optimization model,the solver Gurobi is used by using the branch and bound method,and then the market clearing prices and winning power of each producers obtained in the lower-level optimization.Accoording the outputs,using Quantum-behaved Panicle Swarm Optimization algorithm for iterative optimization,and finally the result of the bidding strategy solution of the unit profit model is obtained.Relying on the unit data of A CHP plant,a four-unit system is used for case simulation to verify the feasibility of the bi-level bidding model proposed in this paper,to quantitatively analyze the impact of carbon trading on clearing prices,bidding curves,unit output and power plant economy,and give bidding suggestions for A CHP plant.