| 高 磊,郑明忠.基于信息间隙决策理论的虚拟电厂经济调度[J].电力需求侧管理,2025,27(5):01-08 |
| 基于信息间隙决策理论的虚拟电厂经济调度 |
| Economic dispatch of virtual power plants based on information gap decision theory |
| 投稿时间：2025-05-30 修订日期：2025-07-28 |
| DOI：10. 3969 / j. issn. 1009-1831. 2025. 05. 001 |
| 中文关键词: 电动汽车 虚拟电厂 优化调度 信息间隙决策理论 |
| 英文关键词: electric vehicles virtual power plant optimal scheduling information gap decision theory |
| 基金项目:国网江苏省电力有限公司科技项目（J2023125） |
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| 中文摘要: |
| 为降低可再生能源输出和电动汽车（electric vehicle，EV）出行的不确定性给虚拟电厂（virtual power plant，VPP）调度带来的风险，提出了一种基于信息间隙决策理论（information gap decision theory，IGDT）的含电动汽车虚拟电厂优化调度模型。首先，基于私家电动汽车用户行为特征建立蒙特卡洛负荷预测模型，并引入Sigmoid函数量化用户响应意愿度与VPP激励价格的动态关系；其次，基于VPP框架，融合风电、光伏、燃气轮机、储能系统、具备与电网互动（vehicle to grid，V2G）能力的EV集群，建立考虑多源协同的经济优化调度模型；接着，针对该模型中的不确定参数，引入信息间隙决策理论，构建了兼具风险规避与机会寻求的双层决策机制；最后，对某虚拟电厂进行算例测试，验证所提模型和算法的正确性和有效性。算例结果表明，该方法能有效地实现负荷侧调峰和填谷，在经济性和稳定性方面具有优越性。 |
| 英文摘要: |
| In order to reduce the risk brought by the uncertainty of renewable energy output and electric vehicle（EV）travel to virtual power plant（VPP）scheduling, an optimal scheduling model of virtual power plant incorporating electric vehicles based on information gap decision theory（IGDT）is proposed. Firstly, a Monte Carlo load prediction model is established based on the behavior characteristics of private EV users, and the Sigmoid function is introduced to quantify the dynamic relationship between user response willingness and VPP incentive price.Secondly, based on the VPP framework, wind power, photovoltaic power, gas turbines, energy storage systems and EV clusters with vehicle to grid（V2G）capabilities are integrated to establish an economic optimization scheduling model considering multisource collaboration. Then, aiming at the uncertain parameters in the model, the information gap decision theory is introduced, and a twolevel decision-making mechanism with both risk aversion and opportunity seeking is constructed. Finally, a virtual power plant is tested with an example to verify the correctness and effectiveness of the proposed model and algorithm. The results show that the method can realize the load side peak balancing and valley filling effectively, and has advantages in economy and stability. |
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