张涛, 黄明娟, 刘伉, 王清川, 陶然. 计及源荷不确定性和变工况特性的区域综合能源系统优化调度[J]. 智慧电力, 2022, 50(8): 109-117.
引用本文: 张涛, 黄明娟, 刘伉, 王清川, 陶然. 计及源荷不确定性和变工况特性的区域综合能源系统优化调度[J]. 智慧电力, 2022, 50(8): 109-117.
ZHANG Tao, HUANG Ming-juan, LIU Kang, WANG Qing-chuan, TAO Ran. Optimal Scheduling of Regional Integrated Energy System Considering Source-load Uncertainty and Variable Condition Characteristic[J]. Smart Power, 2022, 50(8): 109-117.
Citation: ZHANG Tao, HUANG Ming-juan, LIU Kang, WANG Qing-chuan, TAO Ran. Optimal Scheduling of Regional Integrated Energy System Considering Source-load Uncertainty and Variable Condition Characteristic[J]. Smart Power, 2022, 50(8): 109-117.

计及源荷不确定性和变工况特性的区域综合能源系统优化调度

Optimal Scheduling of Regional Integrated Energy System Considering Source-load Uncertainty and Variable Condition Characteristic

  • 摘要: 为保证系统的经济可靠运行,考虑了荷源不确定性及能源耦合设备的变工况特性对系统运行的影响。首先,基于能源梯级利用原理,建立了包含风电、燃气轮机、电转气(P2G)及多种能源耦合设备的区域综合能源系统(RIES)架构;其次,通过构建动态能源集线器(DEH)模型,分别从能源供需双侧反映设备变工况特性对系统能源耦合的影响。同时,以系统调度成本最小和碳排放量最少为目标,将确定性的系统约束转换为基于可信性理论的模糊机会约束,构建了考虑源荷不确定性和设备变工况特性的RIES模型。最后调用CPLEX求解器对模型进行求解。结果表明,所建模型可以有效描述系统的不确定性风险,促进风电消纳,提升系统的经济性与低碳性。

     

    Abstract: In order to ensure the economical and reliable operation of the system,the influence of source-load uncertainty and variable condition characteristics of energy coupling equipment on the system operation is considered. Firstly,based on the principle of energy cascade utilization,the load is divided by grade,and the RIES architecture including wind power,gas turbine,power-to-gas(P2G)and a variety of energy coupling equipment is established. Secondly,through the establishment of a dynamic energy hub(DEH)model,the impact of equipment variable operating conditions on the energy coupling of the system is reflected from both sides of energy supply and demand. At the same time,aiming at the minimum system dispatch cost and the minimum carbon emission,the deterministic system constraints are converted into fuzzy chance constraints. RIES model is constructed considering the uncertainty of source load and the characteristics of equipment under variable working conditions. Finally,the CPLEX solver is used to solve the model. The results show that the model can effectively describe the uncertainty risk of the system,promote the consumption of wind power and improve the economy and low-carbon of the system.

     

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