多能互补系统经济运行方法研究

doi:10.3969/j.issn.2097-0706.2022.11.011

摘要/Abstract

摘要：

为实现“双碳”目标，采用多种能源协同调度的方式可以提高能源利用率。由于不同能源系统的差异性，能源系统供能端往往都是单独规划、单独设计、独立运行。构建了一套包含水冷空调系统、空气源热泵热水系统、光伏系统、风力发电系统、储能（冷、热、电）系统的多能互补仿真计算方法，将供能端的能源系统耦合起来，用于实际项目的设计优化与运行阶段的优化调度。在实际项目应用中，以综合经济指标最低为唯一目标函数下，计算得到在典型工况下各能源系统的最优出力规划：项目在增加电储能系统的容量，减小水冷空调系统、空气源热泵热水系统、水蓄冷系统和水箱储热系统装机，不安装光伏系统和风力发电系统的条件下，综合成本可降低18%。该多能互补仿真计算方法对相关项目的设计和运行具有一定的指导意义。

关键词: 多能互补, 综合能源系统, 系统建模, 优化调度, 经济运行, “双碳”目标, 储能, 协同调度

Abstract:

To achieve the "dual carbon" target，we coordinately utilize multiple energies to improve the comprehensive energy efficiency. Demand sides of different energy systems are usually designed and operated separately. A multi-energy complementary system integrating a water-cooled air conditioning system， an air source heat pump hot water system， a PV system，a wind power system and an energy（cold，heat and electricity）storage system is constructed，which couples different subsystems at user ends. Making simulation calculation on the complementary system and apply it to the optimal design and scheduling of actual projects. In the actual project， taking the lowest comprehensive economic index as the only objective， the calculation results show that the comprehensive cost of the complementary system can be reduced by 18% under the typical working condition by increasing the capacity of electric energy storage system， reducing the capacities of the water-cooled air conditioning system， air source heat pump hot water system， chilled water storage system and heat storage tank and removing the photovoltaic system and wind power system. The simulation on the multi-energy complementary system can provide guidance for the design and operation of related projects.

Key words: multi energy complementation, integrated energy system, system modeling, optimized scheduling, economic calculation, "dual carbon" target, energy storage, coordinate scheduling

中图分类号:

TK01

张会福. 多能互补系统经济运行方法研究[J]. 综合智慧能源, 2022, 44(11): 79-86.

ZHANG Huifu. Research on economic operation method of multi energy complementary systems[J]. Integrated Intelligent Energy, 2022, 44(11): 79-86.

图/表 13

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

图12

图13

参考文献 26

[1]	颜畅, 黄晟, 屈尹鹏. 面向碳中和的海上风电制氢技术研究综述[J]. 综合智慧能源, 2022, 44(5):30-40. doi: 10.3969/j.issn.2097-0706.2022.05.003
	YAN Chang, HUANG Sheng, QU Yinpeng. Thought about the integrated energy system in China[J]. Integrated Intelligent Energy, 2022, 44(5):30-40. doi: 10.3969/j.issn.2097-0706.2022.05.003
[2]	贾宏杰, 穆云飞, 余晓丹. 对我国综合能源系统发展的思考[J]. 电力建设, 2015, 36(1):16-25. doi: 10.3969/j.issn.1000－7229.2015.01.003
	JIA Hongjie, MU Yunfei, YU Xiaodan. Thought about the integrated energy system in China[J]. Electric Power Construction, 2015, 36(1):16-25. doi: 10.3969/j.issn.1000－7229.2015.01.003
[3]	王晓海, 徐静静, 胡永锋, 等. 新形势下发电企业在综合能源服务领域的业务分析[J]. 综合智慧能源, 2022, 44(3):9-16. doi: 10.3969/j.issn.2097-0706.2022.03.002
	WANG Xiaohai, XU Jingjing, HU Yongfeng, et al. Business analysis on integrated energy services of power generation enterprises under the new circumstances[J]. Integrated Intelligent Energy, 2022, 44(3):9-16. doi: 10.3969/j.issn.2097-0706.2022.03.002
[4]	于波, 孙恒楠, 项添春, 等. 综合能源系统规划设计方法[J]. 电力建设, 2016, 37(2):78-84. doi: 10.3969/j.issn.1000-7229.2016.02.011
	YU Bo, SUN Hengnan, XIANG Tianchun, et al. Planning design method of integrated energy system[J]. Electric Power Construction, 2016, 37(2):78-84. doi: 10.3969/j.issn.1000-7229.2016.02.011
[5]	刘思东, 朱帮助. 基于最坏情况条件鲁棒利润的发电机组最优组合[J]. 数学的实践与认识, 2015, 45(16):99-106.
	LIU Sidong, ZHU Bangzhu. Unit commitment of generation company based on worst-case conditional robust profit[J]. Journal of Mathematics in Practice and Theory, 2015, 45(16):99-106.
[6]	冯雪, 张金锁, 邹绍辉. 基于多源信息融合的能源需求预测模型研究综述[J]. 统计与决策, 2016(23): 29-32.
[7]	林亭君, 董坤, 赵剑锋, 等. 综合能源系统内外协同优化调度技术研究现状及展望[J]. 智慧电力, 2021, 49(6):1-8.
	LIN Tingjun, DONG Kun, ZHAO Jianfeng, et al. Research status and prospects of internal and external collaborative optimization scheduling technology for integrated energy system[J]. Smart Power, 2021, 49(6):1-8.
[8]	杨允, 刘鹏坤, 向艳蕾. 有蓄能的多能互补耦合系统优化配置研究[J]. 热能动力工程, 2021, 36(1):108-116.
	YANG Yun, LIU Pengkun, XIANG Yanlei. Optimal configuration of multi-energy complementary systems with storage[J]. Journal of Engineering for Thermal Energy and Power, 2021, 36(1):108-116.
[9]	练小林, 李晓露, 曹阳, 等. 考虑多主体主从博弈的多微网协调优化调度[J]. 电力系统及其自动化学报, 2021, 33(1):85-93.
	LIAN Xiaolin, LI Xiaolu, CAO Yang, et al. Coordinated optimization scheduling of multi-microgrid considering multi-agent leader-follower game[J]. Proceedings of the CSU-EPSA, 2021, 33(1):85-93.
[10]	赵海彭, 苗世洪, 李超, 等. 考虑冷热电需求耦合响应特性的园区综合能源系统优化运行策略研究[J]. 中国电机工程学报, 2022, 42(2):573-584.
	ZHAO Haipeng, MIAO Shihong, LI Chao, et al. Research on optimal operation strategy for park-level integrated energy system considering cold-heat-electric demand coupling response characteristics[J]. Proceedings of the CSEE, 2022, 42(2):573-584.
[11]	吉斌, 孙绘, 昌力, 等. 黏性电力用户参与需求侧响应的行为决策建模与分析[J]. 综合智慧能源, 2022, 44(2): 80-88. doi: 10.3969/j.issn.2097-0706.2022.02.011
	JI Bin, SUN Hui, CHANG Li, et al. Modeling and analysis on decision making behavior of loyal users participating in demand-side response[J]. Integrated Intelligent Energy, 2022, 44(2): 80-88. doi: 10.3969/j.issn.2097-0706.2022.02.011
[12]	潘毅群. 实用建筑能耗模拟手册[M]. 北京: 中国建筑工业出版社, 2013.
[13]	GORDON J M, NG K C. A general thermodynamic model for absorption chillers: Theory and experiment[J]. Heat Recovery and CHP, 1995, 15(1):73-83.
[14]	SWIDER D J. A comparison of empirically based steady-state models for vapor-compression liquid chillers[J]. Applied Thermal Engineering, 2003, 23(5):539-556. doi: 10.1016/S1359-4311(02)00242-9
[15]	LEE T S, LU W C. An evaluation of empirically-based models for predicting energy performance of vapor-compression water chillers[J]. Applied Energy, 2010, 87(11):3486-3493. doi: 10.1016/j.apenergy.2010.05.005
[16]	Lawrence Berkeley National Laboratories. DOE 2 Reference manual[Z]. 1980.
[17]	BRAUN J E, MITCHELL J E. Models for variable-speed centrifugal chillers[J]. ASHRAE Transactions, 1987, 93:1794-1813.
[18]	REDDY T A, ANDERSEN K K. An evaluation of classical steady-state off-line linear parameter estimation methods applied to chiller performance monitoring[J]. International Journal of HVAC&R Research, 2002, 8(1): 101-124.
[19]	简亚婷, 陈刚, 贾沛, 等. 南京某商业项目高效制冷空调系统设计[J]. 暖通空调, 2022, 52(4):47-51.
	JIAN Yating, CHEN Gang, JIA Pei, et al. Design of high-efficiency refrigeration and air conditioning system for a commercial project in Nanjing[J]. HVAC, 2022, 52(4):47-51.
[20]	张会福. 重庆村镇太阳能复合空气源热泵热水系统过渡季节性能实测研究[D]. 重庆: 重庆大学, 2015.
[21]	陈健勇, 李浩, 陈颖, 等. 空气源热泵空调技术应用现状及发展前景[J]. 华电技术, 2021, 43(11): 25-39.
	CHEN Jianyong, LI Hao, CHEN Ying, et al. Application status and perspectives of air-source heat pump air conditioning technology[J]. Huadian Technology, 2021, 43(11): 25-39.
[22]	顾志祥, 刘洁, 孔飞, 等. 楼宇型分布式能源站空调水平衡影响分析[J]. 华电技术, 2019, 41(4): 47-50.
	GU Zhixiang, LIU Jie, KONG Fei, et al. Analysis on influence of air conditioning water balance in building-type distributed energy station[J]. Huadian Technology, 2019, 41(4): 47-50.
[23]	吴学光, 张学成, 印永华, 等. 异步风力发电系统动态稳定性分析的数学模型及其应用[J]. 电网技术, 1998, 22(6):68-72.
	WU Xueguang, ZHANG Xuecheng, YIN Yonghua, et al. Application of models of the wind turbine induction generators(WTIGs) to wind power system dynamic stability analysis[J]. Power System Technology, 1998, 22(6):68-72.
[24]	郭永丽, 吴健, 温步瀛, 等. 变速风力机的建模与仿真[J]. 福建电力与电工, 2008, 28(3):1-5.
	GUO Yongli, WU Jian, WEN Buying, et al. Modeling and simulation of variable wind turbines[J]. Fujian Dianli Yu Diangong, 2008, 28(3):1-5.
[25]	杜作义, 马乐瑶. 基于Matlab_simulink的风速仿真研究[J]. 中国西部科技, 2013, 12(12):46-47.
[26]	谢依桐, 唐继旭, 秦朝葵. 基于Modelica的某宾馆能源系统仿真研究[J]. 建筑节能, 2022, 50(2):60-64,80.
	XIE Yitong, TANG Jixu, QIN Chaokui. Modelica-based simulation of a hotel energy system[J]. Journal of BEE, 2022, 50(2): 60-64,80.