风电、蓄热式电锅炉联合供暖调度鲁棒优化模型

为缓解风电不确定对系统消纳风电的影响，提高风电利用效率，引入鲁棒随机优化理论，以风电、蓄热式电锅炉组成供热系统，建立了考虑风电不确定性的风电供暖调度优化模型。首先，分别构建了风电出力功率模型和蓄热式电锅炉负荷需求模型；然后，应用鲁棒随机优化理论刻画风电出力不确定性，并分别构建了风电出力确定性和随机性条件下风电、蓄热式电锅炉供暖调度优化模型。最后，以我国北方某城市风电供暖项目进行实例分析，结果表明：鲁棒随机优化理论能够有效刻画风电出力不确定性，为不同风险态度决策者提供了决策工具；风电、蓄热式电锅炉组成的供热系统能够实现供暖负荷灵活参与电力系统调度，有助于增加系统风电消纳能力，降低弃风电量，具有显著的经济和环境效益。

Heating Operation Scheduling Robust Optimization Model for Heat Storage Electric Boiler Combined with Wind Power

To alleviate the influence of wind power uncertainty on the wind power accommodation of systemand improve the utilization efficiency of wind power, we introducethe robust stochastic optimization theory, employ wind power and heat storage electric boilers to set up heating supply system, and construct the heating scheduling optimization model of wind power with taking the uncertainty of wind power into consideration. First of all, we build the model of wind power output and the load demand model of heat storage electric boilers；then, we use the theory of robust stochastic optimization to describe the uncertainty of wind power output, and construct the heating scheduling optimization models of wind power and heat storage electric boilers respectively under the uncertainty and randomness conditions of wind power output. Finally, we choose a wind power heating project in a certain city in the north of China for example analysis. The results show that the robust stochastic optimization theory can effectively describe the uncertainty output of wind power and provide the decision-making tool for different risk attitude decision-makers. The heating system composed of wind power and heat storage electric boiler can realize the heating load flexibly in power system dispatching, increase the accommodation capacity of wind power, and reduce abandoned wind power, which has remarkable economic and environmental benefits.