风电、蓄热式电锅炉联合供暖调度鲁棒优化模型

发布时间：2018-04-05 06:31

本文选题：风电　切入点：蓄热式电锅炉　出处：《电力建设》2016年01期

【摘要】：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。
[Abstract]:In order to alleviate the influence of the uncertainty of wind power on the absorption of wind power and improve the utilization efficiency of wind power, the robust stochastic optimization theory is introduced, and the heating system is composed of wind power and regenerative electric boiler.The optimization model of wind power heating scheduling considering the uncertainty of wind power is established.Firstly, wind power model and load demand model of regenerative electric boiler are constructed, then, the uncertainty of wind power output is described by using robust stochastic optimization theory, and wind power under deterministic and stochastic conditions of wind power output is constructed, respectively.Optimization Model of heating scheduling for Regenerative Electric Boiler.Finally, a case study of wind power heating project in a city in the north of China shows that the robust stochastic optimization theory can effectively depict the uncertainty of wind power output and provide decision tools for decision makers with different risk attitudes.The heating system composed of regenerative electric boiler can realize the flexible participation of heating load in the dispatching of power system, which is helpful to increase the wind power absorption capacity of the system, reduce the amount of abandoned wind power, and has remarkable economic and environmental benefits.
【作者单位】：华北电力大学能源经济与环境研究所;国网山东省电力公司潍坊供电公司;南方电网公司超高压输电公司;
【基金】：国家自然科学基金项目(71273090;71573084)~~
【分类号】：TM73

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