并网且上网模式下含复合储能CCHP系统能量管理策略优化研究

doi:10.19799/j.cnki.2095-4239.2024.0517

摘要/Abstract

摘要：

冷热电联供(combined cooling heating and power, CCHP)系统是工业产业园区、建筑用户能源利用过程实现双碳目标的重要举措。针对CCHP系统产用能不平衡、设备耦合相关、并网且上网模式等影响，本文构建了含电池储能系统和水箱蓄热系统的CCHP系统，并以运行成本和燃料消耗量为目标，建立CCHP系统能量管理策略的多目标优化函数；在此基础上，重点考虑约束条件和拥挤度算子对非支配排序遗传算法(non-dominated sorting genetic algorithm-II, NSGA-II)搜索性能的影响，并利用改进型NSGA-II算法实现CCHP系统能量管理策略的优化求解。结果表明：在并网且上网模式下，含复合储能CCHP系统相比无储能CCHP系统，夏季典型日的日运行成本和燃料消耗分别可节约0.89%和2.11%，冬季典型日可分别节约27.70%和7.30%，年运行成本和年总能量消耗则分别可减少11.11%和6.06%，可知基于改进型NSGA-II算法所获得的含复合储能CCHP系统能量管理策略具有较好的能量调控性能。

关键词: 冷热电联供, 并网且上网, 复合储能, 改进型NSGA-II算法

Abstract:

Combined Cooling, Heating, and Power (CCHP) systems are critical for industrial parks and building users to achieve dual carbon reduction goals in their energy utilization. This study addresses the challenges of energy imbalance, equipment coupling, grid connection, and online access modes within CCHP systems by integrating a battery energy storage system and a water tank thermal storage system. A multi-objective optimization function for the CCHP system's energy management strategy is developed, targeting operating costs and fuel consumption. The study considers the impact of constraints and congestion operators on the search performance of the non-dominated sorting genetic algorithm (NSGA-II) and applies an improved NSGA-II algorithm to optimize the CCHP system's energy management strategy. The results demonstrate that, in grid-connected and online modes, the CCHP system with composite energy storage achieves reductions in daily operating costs and fuel consumption by 0.89% and 2.11%, respectively, on typical summer days compared to a system without energy storage. On typical winter days, the savings increase to 27.70% and 7.30%, respectively, with annual reductions of 11.11% in operating costs and 6.06% in total energy consumption. These findings indicate that the energy management strategy derived from the improved NSGA-II algorithm provides effective energy regulation for the CCHP system with composite energy storage.

Key words: combined cooling, heating and power, grid connection and power export, composite energy storage, improved NSGA-II algorithm

中图分类号:

TK 01

陈程, 林仕立, 胡安信, 张先勇. 并网且上网模式下含复合储能CCHP系统能量管理策略优化研究[J]. 储能科学与技术, 2024, 13(11): 3981-3992.

Cheng CHEN, Shili LIN, Anxin HU, Xianyong ZHANG. Research on energy management strategy optimization of CCHP system with composite energy storage in grid-connected and power export modes[J]. Energy Storage Science and Technology, 2024, 13(11): 3981-3992.

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项目	谷段	平段	峰段
购电单价/(元/kWh)	0.3	0.9	1.25
售电单价/(元/kWh)	0.2	0.75	1

设备	燃料费用 /(元/kWh)	维护费用 /(元/kWh)	最大功率 /kW
燃气机组	3.26	0.06	120
燃气锅炉	3.26	0.000015	200
光伏发电系统	—	0.174	—
电池储能系统	—	0.00018	200
水箱蓄热系统	—	0.000012	200

分类	年运行费用/万元	年总能耗/万m³
无储能系统	99	33
复合储能系统	88	31

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