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Multi-period optimal energy flow for electricity-gas integrated systems considering gas inertia and wind power uncertainties
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.ijepes.2020.106263
Jiale Fan , Xiaoyang Tong , Junbo Zhao

Abstract The increasing integration of GFUs promotes the coordinated operation of power and gas systems to enhance the system efficiency and reliability. However, the gas inertia characteristic could have imperative impacts on the coordinated scheduling and this property has not been fully studied. This paper proposes a novel multi-period optimal energy flow (OEF) model considering gas inertia and wind power uncertainties for the scheduling and operation of integrated systems. The nonlinear transient natural gas transmission model is reformulated into a linear programming/quadratic programming (LP/QP) model via the reformulation linearization technique (RLT), yielding computational efficiency improvement. The gas inertia is molded as a time delay to study its impacts on the coordinated scheduling. Then, information gap decision theory (IGDT) based risk averse strategy is advocated to deal with the wind power uncertainties and the impact of the uncertainty level is quantified. Extensive simulation results on the modified 6-bus power system with 6-node gas system and the IEEE 39-bus power system integrated with a realistic 20-node natural gas network demonstrate the effectiveness of the proposed method.

中文翻译:

考虑气体惯性和风电不确定性的电气一体化系统多周期优化能量流

摘要 GFU 的集成度不断提高,促进了电力和燃气系统的协调运行,从而提高了系统的效率和可靠性。然而,气体惯性特性可能对协调调度产生必要的影响,而这一特性尚未得到充分研究。本文提出了一种新的多周期最优能量流 (OEF) 模型,该模型考虑了气体惯性和风电不确定性,用于集成系统的调度和运行。非线性瞬态天然气传输模型通过重构线性化技术 (RLT) 被重构为线性规划/二次规划 (LP/QP) 模型,从而提高了计算效率。气体惯性被塑造为时间延迟,以研究其对协调调度的影响。然后,提倡基于信息差距决策理论(IGDT)的风险规避策略来处理风电的不确定性,并量化不确定性水平的影响。对带有 6 节点燃气系统的改进型 6 母线电力系统和与现实 20 节点天然气网络集成的 IEEE 39 母线电力系统的大量仿真结果证明了所提出方法的有效性。
更新日期:2020-12-01
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