联合循环(Combined Cycle,CC)机组具有能源利用效率高、温室气体排放量低和运行方式灵活等特性,在电力系统中得到了越来越广泛的应用,积极参与到电力市场的竞价中.为了研究CC机组在日前电量市场中的竞价行为,文中提出了一种日前电量市场中CC机组竞价策略双层模型.上层模型为基于模式的CC机组竞价模型,下层模型为日前电量市场出清模型.该模型中的 CC 机组和独立系统运营商(Independent System Operator,ISO)通过电量市场出清得到的节点边际电价(Locational Marginal Prices,LMP)相互影响.CC机组向ISO提交报价同时影响电量市场的出清结果,并根据ISO进行的下层市场出清结果安排发电计划.利用Karush-Kuhn-Tucker(KKT)条件和对偶理论,将所提出的双层优化模型转化为均衡约束数学规划问题(Mathematical Program With Equilibrium Constraint,MPEC).结果显示,文中所提出的竞价策略提高了CC机组在电量市场中的收益 12.28%,降低市场的运行成本 25.37%,验证了所提出模型的有效性.
Research on Optimal Bidding Strategy of Combined Cycle Unit in Day-aheadelectricity Market
Combined cycle(CC)units have been more and more widely used in the power system due to their high efficiency,low emission,and flexible operation,and have actively participated in the electricity market.In order to study the bidding behavior of the CC unit in the day-ahead electricity market,a bi-level bidding model for the CC unit is proposed in the paper.The upper-level model is the bidding model for the mode-based CC unit.The lower-level model is the day-ahead electricity market clearing model.The CC unit and the independent system operator(ISO)in this model influence each other on the locational marginal prices(LMP)obtained through electricity market clearing.Using the Karush-Kuhn-Tucker(KKT)condition and duality theory,the proposed bi-level optimization model is transformed into a mathematical program with an equilibrium constraint(MPEC)problem.The results show that the bidding strategy proposed in the paper increases the profit of the CC unit in the electricity market by 12.28%and reduces the operating cost of the market by 25.37%,which verifies the effectiveness of the model proposed in the paper.
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