Distributionally Robust Scheduling of Integrated Gas-Electricity Systems With Demand Response
Distributionally Robust Scheduling of Integrated Gas-Electricity Systems With Demand Response
复制标题
具有需求响应的气电一体化系统分布鲁棒调度
DOI：
10.1109/tpwrs.2019.2907170
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发表时间：
2019-03
影响因子：
6.6
通讯作者：
Chuan He;Xiaping Zhang;Tianqi Liu;Lei Wu
中科院分区：
文献类型：
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作者：
Chuan He;Xiaping Zhang;Tianqi Liu;Lei Wu
提出了一种具有电力和燃气负荷不确定性的气电一体化系统分布式鲁棒调度模型，并进一步研究了气电一体化需求响应对能源市场出清以及位置边际电价和位置边际电价的影响。所提出的模型最大化了基本情况系统的社会福利（即，来自价格敏感DR负载的收入减去能量生产成本）减去最坏情况下的预期甩负载成本。基于价格的气电DR制定通过价格敏感的需求投标曲线，同时考虑DR参与水平和能源削减限制。通过线性化非线性Weymouth气体流动方程通过泰勒级数展开和进一步近似追索权的决定作为仿射函数的不确定性参数，制定被铸造成一个混合整数线性规划问题，以提高计算的易处理性。案例研究表明，该模型的有效性，以确保系统的安全性对不确定性，避免潜在的传输故障，并增加DR提供商的财务稳定性。
This paper proposes a distributionally robust scheduling model for the integrated gas-electricity system (IGES) with electricity and gas load uncertainties, and further studies the impact of integrated gas-electricity demand response (DR) on energy market clearing, as well as locational marginal electricity and gas prices (LMEPs and LMGPs). The proposed model maximizes the base-case system social welfare (i.e., revenue from price-sensitive DR loads minus energy production cost) minus the worst-case expected load shedding cost. Price-based gas-electricity DRs are formulated via price-sensitive demand bidding curves while considering DR participation levels and energy curtailment limits. By linearizing nonlinear Weymouth gas flow equations via Taylor series expansion and further approximating recourse decisions as affine functions of uncertainty parameters, the formulation is cast into a mixed-integer linear programming problem to enhance computational tractability. Case studies illustrate effectiveness of the proposed model for ensuring system security against uncertainties, avoiding potential transmission congestions, and increasing financial stability of DR providers.