周晟锐, 刘继春, 张浩禹, 文杰, 张林, 冯麒铭. 基于机会约束的多能源枢纽电气互联综合能源系统日前经济调度[J]. 现代电力, 2020, 37(2): 197-204. DOI: 10.19725/j.cnki.1007-2322.2019.0966
引用本文: 周晟锐, 刘继春, 张浩禹, 文杰, 张林, 冯麒铭. 基于机会约束的多能源枢纽电气互联综合能源系统日前经济调度[J]. 现代电力, 2020, 37(2): 197-204. DOI: 10.19725/j.cnki.1007-2322.2019.0966
ZHOU Shengrui, LIU Jichun, ZHANG Haoyu, WEN Jie, ZHANG Lin, FENG Qiming. Day-ahead Economic Dispatch for Electricity-Gas Integrated Energy System with Multiple Energy Hubs based on Chance Constraints[J]. Modern Electric Power, 2020, 37(2): 197-204. DOI: 10.19725/j.cnki.1007-2322.2019.0966
Citation: ZHOU Shengrui, LIU Jichun, ZHANG Haoyu, WEN Jie, ZHANG Lin, FENG Qiming. Day-ahead Economic Dispatch for Electricity-Gas Integrated Energy System with Multiple Energy Hubs based on Chance Constraints[J]. Modern Electric Power, 2020, 37(2): 197-204. DOI: 10.19725/j.cnki.1007-2322.2019.0966

基于机会约束的多能源枢纽电气互联综合能源系统日前经济调度

Day-ahead Economic Dispatch for Electricity-Gas Integrated Energy System with Multiple Energy Hubs based on Chance Constraints

  • 摘要: 集生产、转化、储存和消费于一身的能源枢纽使电网和天然气系统的协同规划与运行成为可能,同时多种不确定性是电气互联系统调度面临的最大问题。为此构建了一种含多个能源枢纽的电气互联综合能源系统机会约束规划。首先,充分挖掘气管网的储能特性,在分别对能源枢纽、电力系统和天然气系统精细建模的基础上,考虑风电和负荷不确定性,建立了含机会约束的日前调度模型。然后,将气网潮流线性化,采用Bernstein近似将此模型转化为确定性整数混合线性凸优化问题,可利用商业软件有效求解。最后,在一个含3个能源枢纽的IEEE RST24电力系统和比利时20节点天然气系统的耦合系统中进行仿真,结果表明,气网动态特性能为综合能源系统调度提供缓冲,同时此种确定性转化方法能有效体现机会约束规划的鲁棒性。

     

    Abstract: The energy hubs, which integrate the energy production, transformation, storage and consumption, make the coordinated planning and operation of power grid with natural gas system possible, however the multiple uncertainties are the uppermost problems that the scheduling departments of electricity-gas integrated energy systems have to be faced with.To solve this problem, a chanceconstraints basedplanning for electricity-gas integrated energy system containing multi energy hubs was constructed. Firstly, the energy storage characteristics of gas pipe network was fully utilized, and based on the fine modelings for energy hubs, power grid and natural gas system and considering the uncertainties of wind power generation and loads, a day-ahead dispatching model containing chance constraints was established. Secondly, the power flow in the gas network was linearized and by use of Bernstein approximation the established model was transformed into a deterministic integer mixed linear convex optimization problem that could be effectively solved by commercial software. Finally, the proposed model was simulated in IEEE RST 24 power system with 3 energy hubs and Belgium's 20-node natural gas system. Simulation results show that the dynamic characteristics of gas network can provide buffer for the dispatching of integrated energy system, and the proposed deterministic transformation method can effectively reflect the robustness of chance-constrained programming.

     

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