交直流混合配电网多阶段随机优化调度模型

裴蕾; 卫志农; 陈胜; 赵景涛; 傅强

doi:10.19783/j.cnki.pspc.211212

交直流混合配电网多阶段随机优化调度模型

1. 河海大学能源与电气学院;
2. 国电南瑞科技股份有限公司

基金项目:

国家自然科学基金项目资助(U1966205)~~

详细信息

作者简介:
裴蕾(1996—),女,硕士研究生,主要研究方向为交直流混合配电网运行与控制。E-mail:2474533628@qq.com;陈胜(1990—),男,博士,副教授,主要研究方向为市场环境下的综合能源系统规划与运行。E-mail:chenshenghhu@163.com

通讯作者:
卫志农(1962—),男,博士,教授,主要研究方向为配电网态势感知与优化运行。E-mail:wzn_nj@263.net

中图分类号: TM721.3;TM73
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出版历程
- 收稿日期: 2021-08-31
- 刊出日期: 2022-07-15

Multi-stage stochastic optimization dispatch model for AC-DC hybrid distribution power networks

1. College of Energy and Electrical Engineering, Hohai University;
2. NARI Technology Company Limited

Funds:

supported by the National Natural Science Foundation of China (No. U1966205)

摘要

摘要: 高比例间歇性分布式光伏的接入给交直流混合配电网的运行带来了挑战。当前所提两阶段随机优化调度模型对不确定变量的观测较为粗略，导致配电网实时决策与日前决策偏差较大。鉴于此，提出了基于场景树的交直流混合配电网多阶段随机优化模型。所提模型以日前购电成本、日内调节成本和实时平衡成本之和最小为目标，通过储能装置的充放电功率调节、换流站输出功率调节和需求响应等灵活调节措施，实现了间歇性光伏的就地消纳和系统的削峰填谷。多阶段随机优化模型的日前离散决策变量可随日内和实时阶段的不确定信息改变而自适应调整，更符合实际高比例光伏渗透下交直流混合配电网的运行需求，为其经济灵活运行提供技术支撑。
- 交直流混合配电网 /
- 多阶段决策 /
- 随机优化 /
- 场景树 /
- 分布式光伏
Abstract: The high proportion of intermittent distributed photovoltaic access brings challenges to the operation of an AC-DC hybrid distribution network. The current two-stage stochastic optimization dispatch model leads to a large deviation between real-time and day-ahead decision-making. This paper presents a multi-stage stochastic optimization model based on a scenario tree. The proposed model aims at minimizing the sum of day-ahead purchase cost, day-ahead adjustment cost and real-time balance cost. The model also realizes photovoltaic absorption and peak load filling through flexible adjustment measures such as energy storage device adjustment, converter station output power adjustment and demand response. The discrete decision variables of the multi-stage stochastic optimization model can be adjusted adaptively with the change of uncertain information in the intra-day and real-time stage. This can meet the operational requirements of an AC-DC hybrid distribution network with a high proportion of PV penetration and provide technical support for its economical and flexible operation.
- AC-DC hybrid distribution network /
- multi-stage decision-making /
- stochastic optimization /
- scenario tree /
- distributed PV

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参考文献(28)

[1]	张福民,刘国鑫,李占凯,等.基于二阶锥规划的交直流混合配电网优化调度[J].智慧电力, 2020, 48(3):117-123. ZHANG Fumin, LIU Guoxin, LI Zhankai, et al. Optimal dispatch of AC/DC hybrid distribution network based on second-order cone programming[J]. Smart Power, 2020,48(3):117-123.
[2]	张璐,唐巍,卢莹,等.面向新型源荷接入的交直流混合配电网关键技术研究综述[J].供用电, 2020, 37(10):3-9, 21. ZHANG Lu, TANG Wei, LU Ying, et al. Overview of hybrid AC/DC distribution network key technologies facing novel source and load integration[J]. Distribution&Utilization, 2020, 37(10):3-9, 21.
[3]	崔福博,郭剑波,荆平,等.直流配电技术综述[J].电网技术, 2014, 38(3):556-564. CUI Fubo, GUO Jianbo, JING Ping, et al. A review of DC power distribution technology[J]. Power System Technology, 2014, 38(3):556-564.
[4]	曾嘉思,徐习东,赵宇明.交直流配电网可靠性对比[J].电网技术, 2014, 38(9):2582-2589. ZENG Jiasi, XU Xidong, ZHAO Yuming. Reliability comparison of AC and DC distribution network[J]. Power System Technology, 2014, 38(9):2582-2589.
[5]	马鑫,郭瑞鹏,王蕾,等.基于二阶锥规划的交直流主动配电网日前调度模型[J].电力系统自动化, 2018,42(22):144-150. MA Xin, GUO Ruipeng, WANG Lei, et al. Day-ahead scheduling model for AC/DC active distribution network based on second-order cone programming[J]. Automation of Electric Power Systems, 2018, 42(22):144-150.
[6]	胡代豪,郭力,刘一欣,等.计及光储快充一体站的配电网随机-鲁棒混合优化调度[J].电网技术, 2021,45(2):507-519. HU Daihao, GUO Li, LIU Yixin, et al. Stochastic/robust hybrid optimal dispatching of distribution networks considering fast charging stations with photovoltaic and energy storage[J]. Power System Technology, 2021, 45(2):507-519.
[7]	钱科军,刘乙,张新松,等.考虑电动汽车充电负荷的配电系统场景概率潮流分析[J].电力系统保护与控制,2020, 48(24):62-70. QIAN Kejun, LIU Yi, ZHANG Xinsong, et al. Scenariobased probabilistic power flow calculation of distribution systems with electric vehicle charging loads[J]. Power System Protection and Control, 2020, 48(24):62-70.
[8]	LI Pan, JIN Baihong, WANG Dai, et al. Distribution system voltage control under uncertainties using tractable chance constraints[J]. IEEE Transactions on Power Systems, 2019, 34(6):5208-5216.
[9]	蔡宇,林今,万灿,等.市场环境下基于随机规划的主动配电网运行交易二层优化模型[J].中国电机工程学报, 2016, 36(20):5391-5402. CAI Yu, LIN Jin, WAN Can, et al. A bi-level stochastic programming approach for strategic active distribution network operation in electricity market[J]. Proceedings of the CSEE, 2016, 36(20):5391-5402.
[10]	CHEN Sheng, WEI Zhinong, SUN Guoqiang, et al.Adaptive robust day-ahead dispatch for urban energy systems[J]. IEEE Transactions on Industrial Electronics,2019, 66(2):1379-1390.
[11]	陈泽雄,张新民,王雪锋,等.分布式光伏电站接入配电网的分布鲁棒优化配置方法[J].电力系统保护与控制, 2021, 49(13):30-42. CHEN Zexiong, ZHANG Xinmin, WANG Xuefeng, et al.A distributionally robust optimal allocation method for distributed photovoltaic generation stations integrated into a distribution network[J]. Power System Protection and Control, 2021, 49(13):30-42.
[12]	孙峰洲,刘海涛,陈庆,等.考虑新能源波动区间的交直流配电网下垂斜率鲁棒优化方法[J].电力系统自动化, 2020, 44(14):62-70. SUN Fengzhou, LIU Haitao, CHEN Qing, et al. Robust optimization method for droop slopes in AC/DC distribution network considering fluctuation interval of renewable energy source[J]. Automation of Electric Power Systems,2020, 44(14):62-70.
[13]	白斌,韩明亮,林江,等.含风电和光伏的可再生能源场景削减方法[J].电力系统保护与控制, 2021, 49(15):141-149. BAI Bin, HAN Mingliang, LIN Jiang, et al. Scenario reduction method of renewable energy including wind power and photovoltaic[J]. Power System Protection and Control, 2021, 49(15):141-149.
[14]	许寅,李佳旭,王颖,等.考虑光伏出力不确定性的园区配电网日前运行计划[J].电力自动化设备, 2020,40(5):85-91, 105. XU Yin, LI Jiaxu, WANG Ying, et al. Day-ahead operation plan for campus distribution network considering uncertainty of photovoltaic output[J]. Electric Power Automation Equipment, 2020, 40(5):85-91, 105.
[15]	符杨,张智泉,李振坤,等.基于二阶段鲁棒博弈模型的微电网群及混合交直流配电系统协调能量管理策略研究[J].中国电机工程学报, 2020, 40(4):1226-1240. FU Yang, ZHANG Zhiquan, LI Zhenkun, et al. A two-stage robust game approach for coordinated energy management in hybrid AC/DC distribution system with microgrid clusters[J]. Proceedings of the CSEE, 2020, 40(4):1226-1240.
[16]	刘一欣,郭力,王成山.微电网两阶段鲁棒优化经济调度方法[J].中国电机工程学报, 2018, 38(14):4013-4022. LIU Yixin, GUO Li, WANG Chengshan. Economic dispatch of microgrid based on two stage robust optimization[J].Proceedings of the CSEE, 2018, 38(14):4013-4022.
[17]	黄张浩,张亚超,郑峰,等.基于不同利益主体协调优化的主动配电网日前-实时能量管理方法[J].电网技术, 2021, 45(6):2299-2308. HUANG Zhanghao, ZHANG Yachao, ZHENG Feng, et al.Day-ahead and real-time energy management method for active distribution networks based on coordinated optimization of different stakeholders[J]. Power System Technology, 2021, 45(6):2299-2308.
[18]	贺帅佳,阮贺彬,高红均,等.分布鲁棒优化方法在电力系统中的理论分析与应用综述[J].电力系统自动化,2020, 44(14):179-191. HE Shuaijia, RUAN Hebin, GAO Hongjun, et al. Overview on theory analysis and application of distributionally robust optimization method in power system[J]. Automation of Electric Power Systems, 2020, 44(14):179-191.
[19]	丁涛,李澄,胡源,等.考虑非预期条件的电力系统多阶段随机规划建模理论与方法[J].电网技术, 2017,41(11):3566-3572. DING Tao, LI Cheng, HU Yuan, et al. Multi-stage stochastic programming for power system planning considering nonanticipative constraints[J]. Power System Technology, 2017, 41(11):3566-3572.
[20]	DING T, HU Y, BIE Z. Multi-stage stochastic programming with nonanticipativity constraints for expansion of combined power and natural gas systems[J]. IEEE Transactions on Power Systems, 2018, 33(1):317-328.
[21]	ABBASPOURTORBATI F, CONEJO A J, WANG J, et al.Three-or two-stage stochastic market-clearing algorithm?[J].IEEE Transactions on Power Systems, 2017, 32(4):3099-3110.
[22]	刘一兵,吴文传,张伯明,等.基于混合整数二阶锥规划的主动配电网有功-无功协调多时段优化运行[J].中国电机工程学报, 2014, 34(16):2575-2583. LIU Yibing, WU Wenchuan, ZHANG Boming, et al. A mixed integer second-order cone programming based active and reactive power coordinated multi-period optimization for active distribution network[J]. Proceedings of the CSEE, 2014, 34(16):2575-2583.
[23]	王守相,陈思佳,谢颂果.考虑安全约束的交直流配电网储能与换流站协调经济调度[J].电力系统自动化,2017, 41(11):85-91. WANG Shouxiang, CHEN Sijia, XIE Songguo. Securityconstrained coordinated economic dispatch of energy storage systems and converter stations for AC/DC distribution networks[J]. Automation of Electric Power Systems, 2017, 41(11):85-91.
[24]	SHANG L, GUO H, ZHU W. An improved MPPT control strategy based on incremental conductance algorithm[J].Protection and Control of Modern Power Systems, 2020,5(2):66-73.
[25]	陈长青,阳同光.计及柔性负荷的电网储能和光伏协调规划研究[J].电力系统保护与控制, 2021, 49(4):169-177. CHEN Changqing, YANG Tongguang. Research on grid energy storage and photovoltaic coordination planning with flexible load[J]. Power System Protection and Control,2021, 49(4):169-177.
[26]	郑超,周孝信,李若梅,等. VSC-HVDC稳态特性与潮流算法的研究[J].中国电机工程学报, 2005, 25(6):1-5. ZHENG Chao, ZHOU Xiaoxin, LI Ruomei, et al. Study on the steady characteristic and algorithm of power flow for VSC-HVDC[J]. Proceedings of the CSEE, 2005,25(6):1-5.
[27]	庄慧敏,肖建.主动配电网的两阶段优化调度模型[J].西南交通大学学报, 2015, 50(5):928-934. ZHUANG Huimin, XIAO Jian. Two-stage optimal schedule model for active distribution network[J]. Journal of Southwest Jiaotong University, 2015, 50(5):928-934.
[28]	马鑫,郭瑞鹏,柳劲松,等.三相不平衡下交直流配电网状态估计[J].电力系统自动化, 2019, 43(23):65-71. MA Xin, GUO Ruipeng, LIU Jinsong, et al. State estimation for three-phase unbalanced AC/DC distribution network[J].Automation of Electric Power Systems, 2019, 43(23):65-71.