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含储能装置的园区综合能源系统三级协同规划设计方法
引用本文:郑海雁,邹磊,杨斌,薛溟枫,唐一铭,汪超群.含储能装置的园区综合能源系统三级协同规划设计方法[J].科学技术与工程,2021,21(7):2705-2712.
作者姓名:郑海雁  邹磊  杨斌  薛溟枫  唐一铭  汪超群
作者单位:江苏方天电力技术有限公司,南京 211102;国网江苏省电力有限公司,南京 210024;国网江苏省电力有限公司无锡供电分公司,无锡214061;浙江大学电气工程学院,杭州310007
基金项目:国家自然科学基金(51976032)
摘    要:研究综合能源系统的配置和优化策略对于保障区域用能平衡、降低系统投资成本、提高运行的经济性具有重要的意义和价值.提出了含储能装置的园区型综合能源系统的三级协同规划方法,首先将综合能源系统的设计过程划分为设备选型、容量配置与运行优化三个阶段;然后根据各阶段之间的递进和耦合关系,采用系统级的建模方法,对各类设备的选型与运行约束进行总结和提炼,并引入储能装置约束,从而形成了结构简洁、约束紧凑的综合能源系统规划模型.针对该模型中的非线性函数项,引入了辅助变量和约束,将其等价转化为易于求解的混合整数线性规划问题.最后,分三种情形对某园区待建综合能源系统进行优化配置.算例测试结果验证了所提模型和方法的有效性.

关 键 词:综合能源系统  优化配置  协同规划  整数规划  储能
收稿时间:2020/7/4 0:00:00
修稿时间:2021/2/24 0:00:00

Three-Level Collaborative Optimal Design Method of Park-Type Integrated Energy System With Energy Storage Devices
Zheng Haiyan,Zou Lei,Yang Bin,Xue Mingfeng,Tang Yiming,Wang Chaoqun.Three-Level Collaborative Optimal Design Method of Park-Type Integrated Energy System With Energy Storage Devices[J].Science Technology and Engineering,2021,21(7):2705-2712.
Authors:Zheng Haiyan  Zou Lei  Yang Bin  Xue Mingfeng  Tang Yiming  Wang Chaoqun
Institution:Jiangsu Frontier Electric Technology Co,Ltd,Jiangsu Frontier Electric Technology Co,Ltd,State Grid Jiangsu Electric Power Co,Ltd,State Grid Wuxi Power Supply Company,Jiangsu Frontier Electric Technology Co,Ltd,
Abstract:Studying the configuration and optimization of the integrated energy system(IES) is of great significance to ensure the regional energy balance, reduce system investment costs, and improve economic operation. This paper proposes a three-level collaborative planning method for park-type IES with energy storage devices. Firstly, the design process of IES is divided into three stages: equipment selection, capacity allocation and operation optimization; then, according to the progressive and coupling relationship between each stage, the system level modeling method is used to summarize and refine the type selection and operation constraints of various equipment, and the constraints of energy storage devices are introduced, thus forming a concise integrated energy system planning model. For the non-linear function terms in the model, auxiliary variables and constraints are introduced, and the model is equivalently transformed into a mixed integer linear programming problem that is easy to solve. Finally, the optimal configuration of an integrated energy system to be built is carried out in three scenarios. The experimental results verify the effectiveness of the proposed model and method.
Keywords:integrated energy system  optimal design  collaborative planning  integer programming  energy storage
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