In the Chinese northern region during the winter heating period, a large number of heating units operate in the "power determined by heat" mode, and the traditional thermal unit can't provide adequate regulation ability and reserve capacity, resulting in a large number of wind curtailment. Taking advantage of the rapid adjustment ability of gas turbine can increase the adjustment ability of system and promote wind power consumption. However, in the traditional power system dispatch, the gas network operation constrains is not taken into account, which may make the dispatch calculation results infeasible. Therefore, this paper propose a robust economic dispatch and reserve configuration model considering wind uncertainty and gas network constraints by converting the range of gas turbine reverse to the range of gas inlet and regard it as the uncertain gas load. The C&CG (column-and-constraint generation) algorithm is utilized to split the combined gas-electric dispatch and optimization problem to a robust economic dispatch problem considering wind uncertainty, a reverse configuration problem and a gas network constrained subproblem. The benders algorithm is also used to simplify the solution procedure by breaking down the problem into a primal problem of economic dispatch and reverse configuration and a subproblem of wind uncertainty examination. The simulation results indicate the truth and validity of the model and solutions.%在我国北方地区冬季供热期,大量供热机组"以热定电"运行,火电机组调节和备用能力不足,造成大量弃风.利用燃气轮机组的快速调节能力,可以促进风电消纳.针对在气电联合调度研究中未考虑气网运行约束,可能造成调度计算结果不可行的问题,提出了考虑风电不确定性和气网运行约束的鲁棒经济调度及备用配置模型,将燃气轮机组的备用范围转换为进气范围,并将其视为气网的不确定负荷.利用C&CG算法将气电联合调度优化问题分解成考虑风电不确定性的鲁棒经济调度和备用配置主问题以及气网约束子问题,再通过benders分解法将主问题进一步分解成经济调度和备用配置主问题以及风电不确定性校验子问题,从而简化求解算法.算例结果验证了所提模型及求解方法的有效性和正确性.
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