Shanghai Dianji University
随着储能在调频市场的不断发展，关于含储联盟体的决策行为对出清结果的影响及最大化自身收益的问题亟待解决。为探求能量及调频市场下申报不同的功率及电价所带来的影响，文中提出了调频参与度的概念，并搭建了以最大化含储联盟体的收益及最小化配电系统运营商(distribution system operator, DSO)成本为目标的双层优化模型，以跟踪中心轨迹内点法及遗传算法对联盟体间的博弈均衡问题进行求解，确定市场的纳什均衡点，得到了在两市场下含储联盟体所采取的最优运行策略。最终在IEEE 33节点系统算例中，对所提模型及方法的可行性进行了验证，分析了不同的调频参与度影响下的出清结果及自身收益情况，同时得出对调频参与度进行合理选择相比只参与能量市场时可获得更高收益的结论。
With the development of energy storage in the regulation market, it is urgent to solve the impact of the decision-making behavior of alliance containing energy storage on the clearance result and the problem of the maximization of its own profit. First, the concept of degree of participation is proposed to explore the influence of the difference of declared power and price in the energy and regulation markets, and then a bi-level optimization model is constructed, which aims at maximizing the profits of the alliances and minimizing the cost of distribution system operator (DSO). Optimal bidding strategies of alliances in two markets are studied by employing path-following interior point algorithm and genetic algorithm, and Nash equilibrium of the markets is achieved. Testing results on IEEE 33-bus system demonstrate validity of the proposed method. The market clearing result and its own profit under the influence of different degree of participation are analyzed, and results show that reasonable selection of degree of participation can obtain higher profits.