Abstract:Aiming at the lack of consideration of temporal and spatial characteristics of loads in the existing energy station planning research, and in the process of system economic analysis, the site and equipment selection, network layout and pipeline diameter selection were not considered uniformly. This paper proposes station and network coordinated design method of regional combined cooling heating and power systems considering load characteristic. Firstly, based on the load's spatial distribution characteristics, an improved p-median optimization model for the station site selection and supply range division is proposed. Secondly, based on the load's timing complementary characteristics and considered multi-energy flow coupling and network coordination, the Prim algorithm is proposed to optimize network layout and pipe diameter selection. Thirdly, based on the interaction effect of station and network planning, with the goal of the lowest annual total cost of the regional station network, equipment selection and network layout and diameter selection are alternately and collaboratively optimized. Finally, under the practical example of an area to be planned with Matlab, the simulation results show that the station and network coordinated design method of regional combined cooling heating and power system considering load characteristic can shift the peak load to the valley load on the time-space scale, optimize the regional overall economy, and improve uneven load distribution and the utilization level of equipment and pipe network, verifying the effectiveness and economy of the proposed method.
姚志力, 王志新. 考虑负荷特性的区域冷热电联供系统站网协同优化设计方法[J]. 电工技术学报, 2021, 36(22): 4760-4772.
Yao Zhili, Wang Zhixin. Station and Network Coordinated Design Method of Regional Combined Cooling Heating and Power System Considering Load Characteristic. Transactions of China Electrotechnical Society, 2021, 36(22): 4760-4772.
[1] 白学祥, 曾鸣, 李源非, 等. 区域能源供给网络热电协同规划模型与算法[J]. 电力系统保护与控制, 2017, 45(5): 65-72. Bai Xuexiang, Zeng Ming, Li Yuanfei, et al.Model and algorithm for cooperative planning of thermal power in regional energy supply network[J]. Power System Protection and Control, 2017, 45(5): 65-72. [2] 舒印彪, 薛禹胜, 蔡斌. 关于能源转型分析的评述(一)转型要素及研究范式[J]. 电力系统自动化, 2018, 42(9): 1-15. Su Yinbiao, Xue Yusheng, Cai Bin.A review of energy transition analysis part one elements and paradigms[J]. Automation of Electric Power Systems, 2018, 42(9): 1-15. [3] 周长城, 马溪原, 郭祚刚, 等. 面向工程应用的用户级综合能源系统规划[J]. 电工技术学报, 2020, 35(13): 2843-2854. Zhou Changcheng, Ma Xiyuan, Guo Zuogang, et al.User-level integrated energy system planning for engineering applications[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2843-2854. [4] 王孟孟. 区域能源基站与管网优化设计研究[D]. 株洲: 湖南工业大学, 2015. [5] Zeng Jing, Han Jie, Zhang Guoqiang.Diameter optimization of district heating and cooling piping network based on hourly load[J]. Applied Thermal Engineering, 2016, 107: 750-757. [6] 梁锦照, 夏清, 郑建平. 基于GIS 和图论分析的电网协调规划方法[J]. 电力系统自动化, 2009, 33(8): 99-103. Liang Jinzhao, Xia Qing, Zheng Jianping.Coordinated planning of power grid based on GIS and graph theory[J]. Automation of Electric Power Systems, 2009, 33(8): 99-103. [7] Wang Xin, Sun Jinghui, Yi Wenfei.P-median model based optimization of energy supply station sites and pipelines layout for integrated energy system[C]// IEEE Conference on Energy Internet and Energy System Integration, IEEE, 2018: 1-6. [8] Sergey K, You Shi, Cai Hanmin, et al.Integrated planning of a large-scale heat pump in view of heat and power networks[J]. IEEE Transactions on Industry Applications, 2019, 55(1): 5-15. [9] 林顺富, 刘持涛, 李东东, 等. 考虑电能交互的冷热电区域多微网系统双层多场景协同优化配置[J]. 中国电机工程学报, 2020, 40(5): 1409-1421. Lin Shunfu, Liu Chitao, Li Dongdong, et al.Two-layer and multi-scenario collaborative optimal configuration of multi-microgrid system in cold and heat power region considering electric energy interaction[J]. Proceedings of the CESS, 2020, 40(5): 1409-1421. [10] 贾晨, 吴聪, 张超, 等. 基于电热系统联合规划的城市商住混合区能源站优化配置[J]. 电力系统保护与控制, 2017, 45(6): 30-36. Jia Chen, Wu Cong, Zhang Chao, et al.Optimal configuration of energy stations in urban commercial-residential mixed districts based on joint planning of electric heating systems[J]. Power System Protection and Control, 2017, 45(6): 30-36. [11] 马瑞, 郭光. 含优先利用风电能量枢纽主动配电网三相不平衡随机模糊动态潮流方法[J]. 电工技术学报, 2020, 35(3): 590-602. Ma Rui, Guo Guang.Three-phase unbalanced random fuzzy dynamic power flow method of active distribution network including priority utilization of wind power energy hub[J]. Transactions of China Electrotechnical Society, 2020, 35(3): 590-602. [12] 李鹏, 吴迪凡, 李雨薇, 等. 基于谈判博弈的多微网综合能源系统多目标联合优化配置[J]. 电网技术, 2020, 44(10): 3680-3690. Li Peng, Wu Difan, Li Yuwei, et al.Multi-objective joint optimization configuration of multi-microgrid integrated energy system based on negotiation game[J]. Power System Technology, 2020, 44(10): 3680-3690. [13] Shahmohammadi A, Moradi-Dalvand M, Ghasemi H, et al.Optimal design of multicarrier energy systems considering reliability constraints[J]. IEEE Transactions on Power Delivery, 2015, 30(2): 878-886. [14] 刘娇扬, 郭力, 杨书强, 等. 配电网中多光储微网系统的优化配置方法[J]. 电网技术, 2018, 42(9): 2806-2815. Liu Jiaoyang, Guo Li, Yang Shuqiang, et al.Optimal configuration method of multi-optical storage microgrid system in distribution network[J]. Power System Technology, 2018, 42(9): 2806-2815. [15] 王珏莹, 胡志坚, 谢仕炜. 计及交通流量调度的智慧综合能源系统规划[J]. 中国电机工程学报, 2020, 40(23): 7539-7555. Wang Jueying, Hu Zhijian, Xie Shiwei.Smart integrated energy system planning with traffic flow dispatching[J]. Proceedings of the CSEE, 2020, 40(23): 7539-7555. [16] 刘洪, 郑楠, 葛少云, 等. 考虑负荷特性互补的综合能源系统站网协同规划[J]. 中国电机工程学报, 2021, 41(4): 52-64. Liu Hong, Zheng Nan, Ge Shaoyun, et al.Collaborative planning of integrated energy system station network considering complementary load characteristics[J]. Proceedings of the CSEE, 2021, 41(4): 52-64. [17] 王丹, 孟政吉, 贾宏杰, 等. 考虑多区域互联协同的分布式能源站设备配置及站间管线规划[J]. 电网技术, 2020, 44(10): 3734-3746. Wang Dan, Meng Zhengji, Jia Hongjie, et al.Distributed energy station equipment configuration and inter-station pipeline planning considering multi-regional interconnection and coordination[J]. Power System Technology, 2020, 44(10): 3734-3746. [18] 谭佩斯, 常俊志, 孙凯. 集中供热系统热力站优化设计[J]. 煤气与热力, 2017, 37(4): 31-33. Tan Peisi, Chang Junzhi, Sun Kai.Optimized design of substation of centralized heating system[J]. Gas & Heat, 2017, 37(4): 31-33. [19] 常丽, 秦渊, 马彦涛. 用于区域供冷的燃气分布式能源站系统设计探讨[J]. 发电与空调, 2016, 37(171): 5-9. Chang Li, Qin Yuan, MA Yantao.Discussion of distributed energy station used in district cooling system[J]. Power Generation & Air Condition, 2016, 37(171): 5-9. [20] 陈文博, 程红, 王聪. 三相无桥功率因数校正器开路故障的快速诊断与定位策略[J]. 电工技术学报, 2019, 34(18): 3873-3883. Chen Wenbo, Cheng Hong, Wang Cong.Quick diagnosis and location strategy for open circuit fault of three-phase bridgeless power factor corrector[J]. Transactions of China Electrotechnical Society, 2019, 34(18): 3873-3883. [21] 张永斌, 聂明林, 张俊鹏, 等. 考虑分布式电源不确定性的配电网网架模糊规划[J]. 电工技术学报, 2019, 34(增刊1): 258-263. Zhang Yongbin, Nie Minglin, Zhang Junpeng, et al.Fuzzy planning of distribution networks considering uncertainty of distributed power generation[J]. Transactions of China Electrotechnical Society, 2019, 34(S1): 258-263. [22] 宋坤隆, 谢云云, 殷明慧, 等. 电力系统网架重构优化中非连通方案的线路编码修正方法[J]. 电网技术, 2017, 41(7): 2300-2307. Song Kunlong, Xie Yunyun, Yin Minghui, et al.The line code correction method of the disconnected scheme in the optimization of power system grid reconfiguration[J]. Power System Technology, 2017, 41(7): 2300-2307. [23] 贠保记, 白森珂, 张国. 基于混沌自适应粒子群算法的冷热电联供系统优化[J]. 电力系统保护与控制, 2020, 48(10): 123-130. Yin Baoji, Bai Senke, Zhang Guo.Cooling, heating and power cogeneration system optimization based on chaotic adaptive particle swarm optimization[J]. Power System Protection and Control, 2020, 48(10): 123-130. [24] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J]. 电工技术学报, 2019, 34(15): 3231-3243. Chen Bohan, Feng Wei, Sun Kai, et al.Optimal scheduling method for multiple energy storage and island operation of combined cooling, heating and power system[J]. Transactions of China Electrote-chnical Society, 2019, 34(15): 3231-3243.