计及气网管存效应的综合能源系统分布鲁棒优化调度

可再生能源接入的综合能源系统具有不确定性特征，然而随机规划与鲁棒优化等求解方法存在鲁棒性不足或过于保守等问题。气网管存是综合能源系统中重要的灵活性资源，可以有效平抑不确定性的影响。鉴于此，提出计及气网管存效应的综合能源系统分布鲁棒优化调度方法，通过充分利用系统中的灵活性资源，促进可再生能源消纳，实现系统安全稳定运行。在分析天然气管道中气体流动特性和管存效应的基础上，以系统综合成本最低为目标，建立计及气网管存效应的综合能源系统优化调度模型。针对风电出力和电负荷不确定性特征的差异性，分别采用概率分布集和梯形模糊函数对风电出力和电负荷不确定性进行刻画。在此基础上，建立综合能源系统分布鲁棒优化调度模型，并采用列约束生成算法进行求解。最后，通过算例分析验证了所提方法的准确性与有效性，并且结果表明所提方法在应对不确定场景时具有较强的调节能力和良好的经济性。

Distributionally robust optimal dispatching of integrated energy system considering line pack effect of gas network

The IES(Integrated Energy System) integrated with renewable energy has the feature of uncertainty, while the solution methods such as stochastic programming and robust optimization suffer from insufficient robustness or high conservation. As the important flexible resources for IES, the line pack of gas network is effective in alleviating the influence of uncertainty. For that, the distributionally robust optimal dispatching method of IES considering the line pack of gas network is proposed. The consumption of renewable energy is promoted and the safe and stable operation of system is realized by making full use of the flexible resources of system. On the basis of analyzing gas flow characteristics in natural gas pipeline and line pack effect, the optimal dispatching model of IES considering the line pack effect of gas network is proposed to minimize the integrated cost. In view of the different characteristics of uncertainty for wind power output and electric load, the probability distribution set and trapezoidal fuzzy function are employed respectively to depict these two kinds of uncertainty factors. On this basis, the distributionally robust optimal dispatching model of IES is established and solved by the column-and-constraint generation algorithm. Finally, the case analysis verifies the accuracy and effectiveness of the proposed method, and the results show that the proposed method has stronger regulation ability and excellent economy under uncertain scenarios.