[1]魏生远 宋尚飞 史博会 马云宾 宫敬.考虑灵活性的电-气综合能源系统运行优化[J].油气储运,2025,44(03):1-12.
WEI Shengyuan,SONG Shangfei,SHI Bohui,et al.Operational optimization of integrated electricity-gas energy systems considering flexibility[J].Oil & Gas Storage and Transportation,2025,44(03):1-12.
点击复制
《油气储运》[ISSN:1000-8241/CN:13-1093/TE]
卷:
44
期数:
2025年03期
页码:
1-12
栏目:
出版日期:
2025-03-25
- Title:
-
Operational optimization of integrated electricity-gas energy systems considering flexibility
- 作者:
-
魏生远1 宋尚飞1 史博会1 马云宾2 宫敬1
-
- Author(s):
-
WEI Shengyuan1; SONG Shangfei1; SHI Bohui1; MA Yunbin2; GONG Jing1
-
-
- 关键词:
-
电-气综合能源系统; 天然气系统动态特性; 灵活性; 多目标运行优化; 安全域理论
- Keywords:
-
electricity-gas integrated energy system; dynamic characterization of natural gas system; flexibility; multi-objective operation optimization; security domain theory 
- 文献标志码:
-
A
- 摘要:
-
【目的】随着新型电力系统建设与电力市场改革的加速,高比例可再生能源并网对电力系统灵活性构成严峻挑战。电-气综合能源系统因其能够利用天然气系统的灵活性资源为电力系统提供灵活性,成为缓解可再生能源出力不确定性的重要手段。然而,目前电-气综合能源系统的协同运行优化主要关注经济成本,忽视了系统灵活调节能力的重要性。【方法】建立了综合考虑系统运行方案经济成本与灵活性的多目标运行优化模型,该模型同时满足电网稳态潮流约束与气网瞬态能量流约束。其中灵活性基于安全域理论进行评估,以当前运行方案下电-气综合能源系统所能应对的可再生能源出力波动范围的大小作为表征。运行优化模型求解过程中,首先利用Gurobi求解器求解无目标约束条件下的可行解,将其作为非支配排序遗传算法II(Non-dominated Sorting Genetic Algorithm II,NSGA-II)的初始种群,进而通过NSGA-II算法的迭代优化求解得到帕累托前沿。为了验证模型的有效性,在6节点电力系统与6节点天然气系统组成的综合能源系统上对模型进行测试。【结果】考虑天然气系统的动态特性时,初始压力、流量条件的不同会显著影响天然气系统中灵活性资源的可用性,从而使得电-气综合能源系统平抑可再生能源出力波动的能力存在差异。此外,运行方案的经济成本与系统灵活性之间存在内在权衡:当优先考虑经济效益时会限制系统的灵活性,从而削弱其调节可再生能源间歇出力的能力;相反,若增强系统的灵活性则会导致运行成本的增加。【结论】多目标运行优化模型解决了现有电-气综合能源系统协同运行优化中忽视系统灵活调节能力的问题,有助于电-气综合能源系统更好地应对可再生能源出力的波动性与不确定性,为未来电-气综合能源系统优化研究提供新思路。
- Abstract:
-
[Objective] With the acceleration of the construction of new electricity system and electricity market reform, the integration of a high proportion of renewable energy into the grid poses a serious challenge to the flexibility of the electricity system. The integrated electricity -gas energy system has become an important means to alleviate the uncertainty of renewable energy output because it can utilize the flexibility resources of the natural gas system to provide flexibility for the electricity system. However, the current synergistic operation optimization of the integrated electricity -gas energy system mainly focuses on the economic cost, neglecting the importance of the system's flexible regulation capability. [Methods] A multi-objective optimization model is developed to consider the economic cost and flexibility of the system operation scheme, which satisfies both the steady state flow constraints of the electricity system and the transient energy flow constraints of the natural gas system. The flexibility is evaluated based on the security domain theory, and is characterized by the size of the fluctuation range of renewable energy output that the integrated electricity-gas energy system can cope with under the current operation scheme. In the process of solving the operation optimization model, the feasible solution under the no-objective constraints is firstly solved by using the Gurobi solver, which is used as the initial population of the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and then the Pareto frontier is obtained through the iterative optimization of the NSGA-II. In order to verify the validity of the model, the model is tested on an integrated energy system consisting of a 6-node electricity system and a 6-node natural gas system. [Results] When considering the dynamic characteristics of the natural gas system, the difference in initial conditions significantly affects the availability of flexibility resources in the natural gas system, which leads to the difference in the ability of the integrated electricity-gas energy system to smooth the fluctuation of renewable energy output. In addition, there is an inherent trade-off between the economic cost of the operation scheme and the flexibility of the system: prioritizing the economic benefit will limit the flexibility of the system, which will weaken its ability to regulate the intermittent renewable energy output; on the other hand, increasing the flexibility of the system will lead to an increase in the operating cost. [Conclusion] The multi-objective operation optimization model solves the problem of neglecting the system flexibility in the cooperative operation optimization of the existing electricity-gas integrated energy system, which can help the electricity-gas integrated energy system to better cope with the fluctuation and uncertainty of the renewable energy output, and provides a new way of thinking for the future research on the optimization of the electricity-gas integrated energy system.