综合能源背景下的配电网多场景规划

doi:10.11930/j.issn.1004-9649.202002031

摘要/Abstract

摘要： 随着能源利用设备的发展，综合能源系统成为能源供应的一个重要发展方向。与单一形式的能源供应相比，综合能源供应系统可以为用户提供更加经济、高效、多样化的能源供应。其中，包含冷热电联产机组(CCHP)、电制冷等设备的配电网是综合能源系统的主要物理载体。基于此，提出考虑新能源、电、热、冷负荷不确定性的综合能源系统设备和配电网变电站容量协同规划的多场景规划方法，实现电、气、热能源的高效、可靠供应。首先，根据CCHP机组、电制冷装置、燃气热水锅炉的物理特性，建立相应能量转化的数学模型。考虑综合能源系统中诸多元件对配电网节点电压的影响，采用Distflow模型建立交流潮流模型。其次，针对新能源出力和电、气、热负荷需求的不确定性对规划结果的影响，采用典型场景来描述电、气、热负荷的季节特性和新能源出力的波动性，进而建立基于多场景的综合能源系统和配电网协同规划模型。对改造的IEEE 33节点配电网系统进行规划计算，算例结果验证了所提规划方法的有效性及合理性。

关键词: 综合能源系统, 配电网规划, 冷热电联产机组, 交流潮流, 混合整数二阶锥问题

Abstract: With the development of energy utilization equipment, integrated energy system has become an important development direction for energy supply. Compared to the single form of energy supplies, the integrated energy supply system can provide users with a more economical, efficient, and diversified energy supplies, in which the distribution network that includes combined cooling heating and power (CCHP) units, electric refrigerators and other equipment is the main physical carrier. Based on this, we propose a multi-scenario planning method for coordinated planning of integrated energy system equipment and distribution network substation capacities with consideration of the uncertainties of new energy and the electricity, heat and cooling loads, to achieve efficient and reliable electricity, gas and heat supply. Firstly, according to the physical characteristics of CCHP units, electric refrigeration equipment and gas-fired boilers, a mathematical model for corresponding energy conversion is established. Considering the influence of numerous components in the integrated energy system on the node voltage of distribution network, the Distflow model is used to establish a AC power flow model. Secondly, in view of the impact of the uncertainties of renewable energy output and demand of electricity, gas and heat loads on the planning results, typical scenarios are used to describe the seasonal characteristics of electricity, gas, and heat loads, and the fluctuation of renewable energy output. Finally, a multi-scenario collaborative planning model for integrated energy system and distribution network is developed. The proposed model is tested on a reconstructed IEEE 33-node power distribution network system, and the results of the case study have verified the effectiveness and rationality of the proposed planning method.

Key words: integrated energy system, distribution network planning, CCHP, AC power flow, mixed integer second-order cone problem

胡源, 薛松, 杨素, 唐程辉, 梁才, 熊天军. 综合能源背景下的配电网多场景规划[J]. 中国电力, 2021, 54(4): 175-184.

HU Yuan, XUE Song, YANG Su, TANG Chenghui, LIANG Cai, XIONG Tiangjun. Multi-Scenario Planning of Distribution Network in the Context of Integrated Energy[J]. Electric Power, 2021, 54(4): 175-184.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202002031

https://www.electricpower.com.cn/CN/Y2021/V54/I4/175

参考文献

[1] 程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13
CHENG Haozhong, HU Xiao, WANG Li, et al. Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7): 2-13
[2] 原凯, 李敬如, 宋毅, 等. 区域能源互联网综合评价技术综述与展望[J]. 电力系统自动化, 2019, 43(14): 41-52, 64
YUAN Kai, LI Jingru, SONG Yi, et al. Review and prospect of comprehensive evaluation technology of regional energy Internet[J]. Automation of Electric Power Systems, 2019, 43(14): 41-52, 64
[3] 王伟亮, 王丹, 贾宏杰, 等. 能源互联网背景下的典型区域综合能源系统稳态分析研究综述[J]. 中国电机工程学报, 2016, 36(12): 3292-3306
WANG Weiliang, WANG Dan, JIA Hongjie, et al. Review of steady-state analysis of typical regional integrated energy system under the background of energy Internet[J]. Proceedings of the CSEE, 2016, 36(12): 3292-3306
[4] 邵成成, 王锡凡, 王秀丽, 等. 多能源系统分析规划初探[J]. 中国电机工程学报, 2016, 36(14): 3817-3829
SHAO Chengcheng, WANG Xifan, WANG Xiuli, et al. Probe into analysis and planning of multi-energy systems[J]. Proceedings of the CSEE, 2016, 36(14): 3817-3829
[5] 别朝红, 王旭, 胡源. 能源互联网规划研究综述及展望[J]. 中国电机工程学报, 2017, 37(22): 6445-6462, 6757
BIE Zhaohong, WANG Xu, HU Yuan. Review and prospect of planning of energy Internet[J]. Proceedings of the CSEE, 2017, 37(22): 6445-6462, 6757
[6] 刘迪, 吴俊勇, 林凯骏, 等. 基于Kriging模型的综合能源系统规划方法[J]. 电网技术, 2019, 43(1): 185-194
LIU Di, WU Junyong, LIN Kaijun, et al. A planning method of integrated energy system based on kriging model[J]. Power System Technology, 2019, 43(1): 185-194
[7] 许周, 孙永辉, 谢东亮, 等. 计及电/热柔性负荷的区域综合能源系统储能优化配置[J]. 电力系统自动化, 2020, 44(2): 53-59
XU Zhou, SUN Yonghui, XIE Dongliang, et al. Optimal configuration of energy storage for integrated region energy system considering power/thermal flexible load[J]. Automation of Electric Power Systems, 2020, 44(2): 53-59
[8] 王祺, 王承民, 谢宁, 等. 混合CVaR-IGDT的区域综合能源系统扩展规划模型[J]. 电网技术, 2020, 44(2): 505-515
WANG Qi, WANG Chengmin, XIE Ning, et al. A hybrid CVaR-IGDT expansion planning model for regional integrated energy system[J]. Power System Technology, 2020, 44(2): 505-515
[9] 胡枭, 尚策, 陈东文, 等. 考虑能量品质的区域综合能源系统多目标规划方法[J]. 电力系统自动化, 2019, 43(19): 22-38, 139
HU Xiao, SHANG Ce, CHEN Dongwen, et al. Multi-objective planning method for regional integrated energy systems considering energy quality[J]. Automation of Electric Power Systems, 2019, 43(19): 22-38, 139
[10] 郑超铭, 黄博南, 王子心, 等. 计及网络传输损耗的电热综合能源系统多目标优化调度[J]. 电网技术, 2020, 44(1): 141-154
ZHENG Chaoming, HUANG Bonan, WANG Zixin, et al. Multi-objective optimization dispatch for integrated electro-heating systems including network transmission losses[J]. Power System Technology, 2020, 44(1): 141-154
[11] 李子林, 刘蓉晖. 考虑需求侧响应的含储能区域综合能源系统运行优化[J]. 现代电力, 2019, 36(6): 61-67
LI Zilin, LIU Ronghui. Operation optimization of regional integrated energy system with energy storage considering demand response[J]. Modern Electric Power, 2019, 36(6): 61-67
[12] 王成山, 吕超贤, 李鹏, 等. 园区型综合能源系统多时间尺度模型预测优化调度[J]. 中国电机工程学报, 2019, 39(23): 6791-6803, 7093
WANG Chengshan, LÜ Chaoxian, LI Peng, et al. Multiple time-scale optimal scheduling of community integrated energy system based on model predictive control[J]. Proceedings of the CSEE, 2019, 39(23): 6791-6803, 7093
[13] 祁兵, 何承瑜, 李彬, 等. 基于蓄热电锅炉不同工作模式的区域综合能源系统优化调度[J]. 现代电力, 2019, 36(6): 45-51
QI Bing, HE Chengyu, LI Bin, et al. Optimal scheduling of regional integrated energy system based on different working modes of electric boiler with thermal storage[J]. Modern Electric Power, 2019, 36(6): 45-51
[14] 郭梦婕, 严正, 周云, 等. 含风电制氢装置的综合能源系统优化运行[J]. 中国电力, 2020, 53(1): 115-123, 161
GUO Mengjie, YAN Zheng, ZHOU Yun, et al. Optimized operation design of integrated energy system with wind power hydrogen production[J]. Electric Power, 2020, 53(1): 115-123, 161
[15] 谢桦, 陈昊, 邓晓洋, 等. 基于改进K-means聚类技术与半不变量法的电-气综合能源系统运行风险评估方法[J]. 中国电机工程学报, 2020, 40(1): 59-69, 374
XIE Hua, CHEN Hao, DENG Xiaoyang, et al. Electric-gas integrated energy system operational risk assessment based on improved K-means clustering technology and semi-invariant method[J]. Proceedings of the CSEE, 2020, 40(1): 59-69, 374
[16] 曾鸣, 刘英新, 周鹏程, 等. 综合能源系统建模及效益评价体系综述与展望[J]. 电网技术, 2018, 42(6): 1697-1708
ZENG Ming, LIU Yingxin, ZHOU Pengcheng, et al. Review and prospects of integrated energy system modeling and benefit evaluation[J]. Power System Technology, 2018, 42(6): 1697-1708
[17] 田立亭, 程林, 李荣, 等. 基于加权有向图的园区综合能源系统多场景能效评价方法[J]. 中国电机工程学报, 2019, 39(22): 6471-6483
TIAN Liting, CHENG Lin, LI Rong, et al. A multi-scenario energy efficiency evaluation method for district multi-energy systems based on weighted directed graph[J]. Proceedings of the CSEE, 2019, 39(22): 6471-6483
[18] 周欢, 黄龙琼, 伍人剑, 等. 基于绿色?经济的综合能源系统价值评价方法[J]. 电力系统自动化, 2020, 44(2): 36-42
ZHOU Huan, HUANG Longqiong, WU Renjian, et al. Value assessment method of integrated energy system based on green exergy economy[J]. Automation of Electric Power Systems, 2020, 44(2): 36-42
[19] 王丹, 孟政吉, 贾宏杰, 等. 面向新型城镇的能源互联系统规划关键技术研究及展望[J]. 电力系统自动化, 2019, 43(14): 16-28
WANG Dan, MENG Zhengji, JIA Hongjie, et al. Research and prospect of key technologies for energy interconnection system planning for new-type towns[J]. Automation of Electric Power Systems, 2019, 43(14): 16-28
[20] 张爱祥, 宋士瞻, 高扬, 等. 含能源互联微网的主动配电网分层分布式协调控制[J]. 电力系统保护与控制, 2019, 47(19): 47:131-138
ZHANG Aixiang, SONG Shizhan, GAO Yang, et al. Hierarchical distributed coordinated control of active distribution network including energy interconnection micro grid[J]. Power System Protection and Control, 2019, 47(19): 47:131-138
[21] 白宏坤, 尹硕, 李虎军, 等. 计及碳交易成本的多能源站综合能源系统规划[J]. 电力科学与技术学报, 2019, 34(1): 34:11-19
BAI Hongkun, YIN Shuo, LI Hujun, et al. Optimal planning of multi-energy stations considering Carbon-trading cost[J]. Journal of Electric Power Science and Technology, 2019, 34(1): 34:11-19
[22] 袁智勇, 赵懿祺, 郭祚刚, 等. 面向能源互联网的综合能源系统规划研究综述[J]. 南方电网技术, 2019, 13(7): 13:1-9
YUAN Zhiyong, ZHAO Yiqi, GUO Zuogang, et al. Research summary of integrated energy systems planning for energy Internet[J]. Southern Power System Technology, 2019, 13(7): 13:1-9
[23] 荀挺, 雷胜华, 丁晓辰, 等. 区域综合能源系统的多目标最优潮流算法研究[J]. 智慧电力, 2019, 47(9): 47:19-28
XUN Ting, LEI Shenghua, DING Xiaochen, et al. Multi-objective optimal power flow algorithms for integrated community energy systems[J]. Smart Power, 2019, 47(9): 47:19-28
[24] YEH H G, GAYME D F, LOW S H. Adaptive VAR control for distribution circuits with photovoltaic generators[J]. IEEE Transactions on Power Systems, 2012, 27(3): 1656-1663.
[25] CHEN C, WANG J H, QIU F, et al. Resilient distribution system by microgrids formation after natural disasters[J]. IEEE Transactions on Smart Grid, 2016, 7(2): 958-966.
[26] 郭清元, 吴杰康, 莫超, 等. 基于混合整数二阶锥规划的新能源配电网电压无功协同优化模型[J]. 中国电机工程学报, 2018, 38(5): 1385-1396
GUO Qingyuan, WU Jiekang, MO Chao, et al. A model for multi-objective coordination optimization of voltage and reactive power in distribution networks based on mixed integer second-order cone programming[J]. Proceedings of the CSEE, 2018, 38(5): 1385-1396