基于信息间隙决策理论的多源联合优化机组组合

Multi-power Combined Unit Commitment Based on Information Gap Decision Theory

大规模清洁能源的接入对电力系统的运行调度提出了严峻的挑战。将多种具有不同发电特性的清洁能源纳入到日前调度计划中统筹考虑有助于提高系统的安全性和经济性。为此,提出了含风-光-核-水-火的多源联合优化机组组合模型。所提模型同时考虑了网络安全约束和线路损耗的影响,在保证调度结果精确性的同时最大限度地降低计算的复杂度。针对该模型存在的不确定参数,引入信息间隙决策理论（information gap decision theory,IGDT）对其进行建模,分别得到鲁棒模型和机会模型,进而为调度运行提供合理的决策基础。最后,对改进的含有54台火电机组、8台梯级水电机组、5个风电场和1台核电机组的IEEE 118节点系统进行测试,测试结果验证了所提模型和算法的正确性和有效性。

The integration of large-scale clean energy has brought severe challenges to power system scheduling and operation. It is helpful to improve the security and economy of the system by incorporating a variety of clean energy sources with different power generation characteristics into the day ahead scheduling plan. To this end, a wind-solar-nuclear-hydrothermal combined unit commitment model was proposed. The proposed model included the influence of network security constraints and line losses, with the purpose of maintaining the accuracy of solutions while minimizing the computational complexity. To cope with the uncertain parameters of the model, the information gap decision theory was introduced to model them, and the robust model and optimistic model were obtained respectively, so as to provide a reasonable decision basis for the scheduling operation. Finally, an advanced IEEE 118-bus system with 54 thermal units, 8 cascade hydro units, 5 wind farms and 1 nuclear generating unit was tested. The test results verify the correctness and validity of the proposed model and algorithm.