秦文萍;逯瑞鹏;高蒙楠;景祥;郑惠萍;程雪婷;

• 1:电力系统运行与控制山西省重点实验室(太原理工大学)
• 2:国网山西省电力公司电力科学研究院

摘要(Abstract)：

在新能源渗透率不断提高及能源耦合越来越紧密的背景下,针对典型电–气耦合综合能源系统(electro-gas coupled integrated energy system,EGCIES),提出一种基于大规模新能源并网的电–气耦合综合能源系统稳定性评估方法。首先给出电–气耦合综合能源系统潮流的顺序求解方法,在计及电力系统(electrical power system,EPS)与天然气系统(natural gas system,NGS)能量耦合关系的情况下,考虑新能源机组出力不确定性及电负荷、气负荷的随机波动,求解EGCIES潮流;然后提出了一种最小切负荷策略,在EPS中将三级切负荷策略与改进二分法相结合,并将其应用于NGS系统中,以快速准确求解极端状况下,系统的最小切负荷量;又在电源点、气源点的故障情况下,计及电–气耦合特性,通过所提出的稳定性分析方法,从EPS稳定性、NGS稳定性及EPS与NGS耦合能力多角度定量分析电–气耦合综合能源系统的稳定性,并求解EPS与NGS能量互补的拐点。最后,利用比利时20节点天然气系统及IEEE39节点系统构成电–气耦合综合能源系统,验证了所提方法的有效性。

关键词(KeyWords)： 电-气耦合综合能源系统;最小切负荷策略;稳定性评估

Abstract:

Keywords:

基金项目(Foundation): 山西省科技重大专项项目(20181102028);; 国家自然科学基金项目(51807129);; 山西省“1331”工程重点创新团队建设计划资助(1331KIRT)~~

作者(Author): 秦文萍;逯瑞鹏;高蒙楠;景祥;郑惠萍;程雪婷;

Email:

DOI: 10.13335/j.1000-3673.pst.2019.0526

参考文献(References)：

• [1]陈胜，卫志农，孙国强，等．电-气混联综合能源系统概率能量流分析[J]．中国电机工程学报，2015,35(24):6331-6340.Chen Sheng,Wei Zhinong,Sun Guoqiang,et al.Probabilistic energy flow analysis of electric-gas hybrid integrated energy system[J].Proceedings of the CSEE,2015,35(24):6331-6340(in Chinese).
• [2] Shahidehpour M, Fu Y, Wiedman T. Impact of natural gas infrastructure on electric power systems[J].Proceedings of the IEEE,2005,93(5):1042-1056.
• [3]梅建春，卫志农，张勇，等．考虑关键故障筛选的电-气互联综合能源系统混合控制方法[J]．电网技术，2019,43(1):23-33.Mei Jianchun,Wei Zhinong,Zhang Yong,et al.Hybrid control method for electro-gas interconnected integrated energy system considering critical fault screening[J].Power System Technology,2019,43(1):23-33(in Chinese).
• [4] Fairley P.The troubled link between gas and electricity grids[J].IEEE Spectrum,2016,53(6):11-12.
• [5]张弛，唐庆华，严玮，等．基于粒子群-内点混合优化算法的区域综合能源系统可靠性评估[J]．电力建设，2017,38(12):104-111.Zhang Chi,Tang Qinghua,Yan Wei,et al.Reliability evaluation of regional integrated energy system based on particle swarm-internal point hybrid optimization algorithm[J].Electric Power Construction,2017,38(12):104-111(in Chinese).
• [6] Xu X,Jia H,Chiang H D,et al.Dynamic modeling and interaction of hybrid natural gas and electricity supply system in microgrid[J].IEEE Transactions on Power Systems,2015,30(3):1212-1221.
• [7]王伟亮，王丹，贾宏杰，等．考虑天然气网络状态的电力-天然气区域综合能源系统稳态分析[J]．中国电机工程学报，2017,37(5):1293-1305.Wang Weiliang,Wang Dan,Jia Hongjie,et al.Steady-state analysis of power-natural gas regional integrated energy system considering natural gas network state[J].Proceedings of the CSEE,2017,37(5):1293-(in Chinese).
• [8]朱兰，王吉，唐陇军，等．计及电转气精细化模型的综合能源系统鲁棒随机优化调度[J]．电网技术，2019,43(1):116-126.Zhu Lan,Wang Ji,Tang Longjun,et al.Robust stochastic optimization scheduling of integrated energy system considering electro-deflated refinement model[J].Power System Technology,2019,43(1):116-126(in Chinese).
• [9]秦文萍．基于电压稳定的电力系统可靠性评估及薄弱点识别[D]．太原：太原理工大学，2015.
• [10]陈国平，李明节，许涛，等．关于新能源发展的技术瓶颈研究[J]．中国电机工程学报，2017,37(1):20-27.Chen Guoping,Li Mingjie,Xu Tao,et al.Research on the technical bottleneck of new energy development[J].Proceedings of the CSEE,2017,37(1):20-27(in Chinese).
• [11]齐世雄，王秀丽，邵成成，等．极端事件下电-气混联综合能源系统的恢复力分析[J]．电网技术，2019,43(1):41-51.Qi Shixiong,Wang Xiuli,Shao Chengcheng,et al.Resilience analysis of electric-gas hybrid integrated energy system under extreme events[J].Power System Technology,2019,43(1):41-51(in Chinese).
• [12]王文学，胡伟，孙国强，等．电-热互联综合能源系统区间潮流计算方法[J]．电网技术，2019,43(1):83-95.Wang Wenxue,Hu Wei,Sun Guoqiang,et al.Inter-flow calculation method for electric-thermal interconnected integrated energy system[J].Power System Technology,2019,43(1):83-95(in Chinese).
• [13]骆柏锋，穆云飞，赵波，等．基于统一潮流模型的电-气耦合综合能源系统静态灵敏度分析[J]．电力系统自动化，2018,42(13):29-35.Luo Baifeng,Mu Yunfei,Zhao Bo,et al.Static sensitivity analysis of electro-gas coupled integrated energy system based on unified power flow model[J].Automation of Electric Power Systems,2018,42(13):29-35(in Chinese).
• [14]杨帅，陈磊，徐飞，等．基于能量流的电热综合能源系统弃风消纳优化调度模型[J]．电网技术，2018,42(2):417-426.Yang Shuai,Chen Lei,Xu Fei,et al.Energy flow based optimal scheduling model for abandoned wind energy consumption in electrothermal integrated energy system[J]. Power System Technology,2018,42(2):417-426(in Chinese).
• [15]卫志农，张思德，孙国强，等．计及电转气的电-气互联综合能源系统削峰填谷研究[J]．中国电机工程学报，2017,37(16):4601-4609+4885.Wei Zhinong,Zhang Side,Sun Guoqiang,et al.Study on peak-filling and filling of electric-gas interconnected integrated energy system considering electricity-to-gas gas[J].Proceedings of the CSEE,2017,37(16):4601 4609+4885(in Chinese).
• [16]赵霞，杨仑，瞿小斌，等．电-气综合能源系统能流计算的改进方法[J]．电工技术学报，2018,33(3):467-477.Zhao Xia,Yang Lun,Qu Xiaobin,et al.An improved method for energy flow calculation of electro-gas integrated energy system[J].Transactions of China Electrotechnical Society,2018,33(3):467-477(in Chinese).
• [17]林威，靳小龙，穆云飞，等．区域综合能源系统多目标最优混合潮流算法[J]．中国电机工程学报，2017,37(20):5829-5839.Lin Wei,Zhai Xiaolong,Mu Yunfei,et al.Multi-objective optimal hybrid power flow algorithm for regional integrated energy systems[J].Proceedings of the CSEE,2017,37(20):5829-5839(in Chinese).
• [18]国家能源局，2018年可再生能源并网运行情况介绍[EB/OL].[2019-02-06].http://www.nea.gov.cn/2019-01/28/c_137780519.htm? from=singlemessage&isappinstalled=0.
• [19] Meon E S.Gas pipeline hydraulics[M].Boca Raton,FL:CRC Press,2005.
• [20] Clegg S,Mancarella P.Integrated modeling and assessment of the operational impact of power-to-gas(p2g)on electrical and gas transmission networks[J].IEEE Transactions on Sustainable Energy,2015,6(4):1234-1244.
• [21] Schiebahn S,Grube T,Robinius M,et al.Power to gas:Technological overview,systems analysis and economic assessment for a case study in Germany[J].International Journal of Hydrogen Energy,2015,40(12):4285-4294.
• [22] Chaudry M,Jenkins N,Strbac G.Multi-time period combined gas and electricity network optimization[J].Electric Power Systems Research,2008,78(7):1265-1279.
• [23]张宇帆，艾芊，郝然，等．基于机会约束规划的楼宇综合能源系统经济调度[J]．电网技术，2019,43(1):108-116.Zhang Yufan,Ai Qian,Hao Ran,et al.Economic dispatch of building integrated energy system based on chance constrained programming[J].Power System Technology,2019,43(1):108-116(in Chinese).
• [24]加鹤萍，丁一，宋永华，等．信息物理深度融合背景下综合能源系统可靠性分析评述[J]．电网技术，2019,43(1):1-11.Jia Heping,Ding Yi,Song Yonghua,et al.Review on reliability analysis of integrated energy system under the background of deep integration of information physics[J].Power System Technology,2019,43(1):1-11(in Chinese).
• [25]柳志航，卫志农，孙国强，等．计及参数模糊性的含风电场电力系统概率潮流计算[J]．电网技术，2017,41(7):2308-2318.Liu Zhihang,Wei Zhinong,Sun Guoqiang,et al.Probabilistic load flow calculation of power system with wind farm considering parameter fuzzy[J]. Power System Technology, 2017, 41(7):2308-2318(in Chinese).
• [26]杨家豪．区域综合能源系统冷-热-电-气概率多能流计算[J]．电网技术，2019,43(1):74-83.Yang Jiahao.Calculation of probability multi-energy flow in regional integrated energy system based on cold-heat-electric-gas[J].Power System Technology,2019,43(1):74-83(in Chinese).
• [27] Li Y,Li W,Yan W,et al.Probabilistic optimal power flow considering correlations of wind speeds following different distributions[J].IEEE Transactions on Power Systems,2014,29(4):1847-1854.
• [28] Wang J,Zhong H,Ma Z,et al.Review and prospect of integrated demand response in the multi-energy system[J].Applied Energy,DOI:10.1016/j.apenergy.2017.05.150.
• [29] Su C L.Probabilistic load-flow computation using point estimate method[J].IEEE Transactions on Power Systems,2005,20(4):1843-1851.
• [30]靳康萌，张沛，邓晓洋，等．基于K-means聚类技术改进的多线性蒙特卡洛概率能流算法[J]．电网技术，2019,43(1):65-74.Jin Kangmeng,Zhang Pei,Deng Xiaoyang,et al.Multi-linear Monte Carlo probabilistic energy flow algorithm based on k-means clustering technique[J].Power System Technology,2019,43(1):65-74(in Chinese).
• [31]孙国强，陈霜，卫志农，等．计及相关性的电-气互联系统概率最优潮流[J]．电力系统自动化，2015,39(21):11-17.Sun Guoqiang,Chen Shuang,Wei Zhinong,et al.Probabilistic optimal power flow of electrical-gas interconnected systems considering correlation[J].Automation of Electric Power Systems,2015,39(21):11-17(in Chinese).