含储能的三端SOP对主动配电网的潮流优化研究

于文山, 黎明, 由蕤

太阳能学报 ›› 2022, Vol. 43 ›› Issue (3) : 101-110.

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (3) : 101-110. DOI: 10.19912/j.0254-0096.tynxb.2021-0485

含储能的三端SOP对主动配电网的潮流优化研究

  • 于文山1, 黎明2, 由蕤1
作者信息 +

POWER FLOW OPTIMIZATION STUDY ON ACTIVE DISTRIBUTION NETWORK BASED ON THREE-TERMINAL SOP WITH ENERGY STORAGE SYSTEM

  • Yu Wenshan1, Li Ming2, You Rui1
Author information +
文章历史 +

摘要

提出一种含储能的三端智能软开关(SOP)对主动配电网的潮流优化策略,建立以SOP传输的有功功率、无功功率为决策变量,多种约束条件下配电网总有功损耗最小、电压偏差最小的多目标优化数学模型,采用多目标粒子群优化算法求取全局最优解,对SOP的最优接入位置进行选取,实现主动配电网总有功损耗的降低和电压水平的改善。最后,将不同类型的SOP对改进的IEEE 33节点系统的优化效果进行详对比分析,从配电网的潮流优化、经济效益提升2个方面验证所提优化策略的有效性。

Abstract

A power flow optimization strategy of the active distribution network including three-terminal SOP with energy storage system is proposed in this paper. A multi-objective optimization mathematical model, whose decision variables are the SOP active power and reactive power, is built. Under various constraints, the minimum active power loss and minimum voltage deviation are obtained in the distribution network. The multi-objective particle swarm optimization algorithm is used to obtain the global optimal solution. The SOP optimal installation location is selected. The active distribution network active power loss is reduced, and the voltage level is improved. Finally, the optimization effects on the improved IEEE 33-node system from different types of SOP are compared and analyzed in detail. The effectiveness of the proposed optimization strategy is verified in the aspects of the distribution network power flow optimization and economic benefit improvement.

关键词

储能 / 主动配电网 / 分布式电源 / 多目标粒子群优化算法 / 三端智能软开关

Key words

energy storage / active distribution network / distributed generation / multi-objective particle swarm optimization algorithm / three-terminal soft open point

引用本文

导出引用
于文山, 黎明, 由蕤. 含储能的三端SOP对主动配电网的潮流优化研究[J]. 太阳能学报. 2022, 43(3): 101-110 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0485
Yu Wenshan, Li Ming, You Rui. POWER FLOW OPTIMIZATION STUDY ON ACTIVE DISTRIBUTION NETWORK BASED ON THREE-TERMINAL SOP WITH ENERGY STORAGE SYSTEM[J]. Acta Energiae Solaris Sinica. 2022, 43(3): 101-110 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0485
中图分类号: TM732   

参考文献

[1] 孙充勃, 李敬如, 原凯, 等. 基于区间优化的配电网智能软开关与储能系统联合优化方法[J]. 高电压技术, 2021, 47(1): 45-54.
SUN C B, LI J R, YUAN K, et al.Two-stage optimization method of soft open point and energy storage systemin distribution network based on interval optimization[J]. High voltage engineering, 2020, 47(1): 45-54.
[2] LI P, XU D, ZHOU Z Y, et al.Stochastic optimal operation of microgrid based on chaotic binary particle swarm optimization[J]. IEEE transactions on smart grid, 2016, 7(1): 66-73.
[3] LUO F J, ZHAO J H, ZHAO Y D, et al.Cloud-based information infrastructure for next-generation power grid:conception, architecture, and applications[J]. IEEE transactions on smart grid, 2016, 7(4): 1896-1912.
[4] 赵国鹏, 刘思远, 周昕炜, 等. 基于柔性多状态开关的配电网电压波动平抑策略[J]. 高电压技术, 2020, 46(4): 1152-1160.
ZHAO G P, LIU S Y, ZHOU X W, et al.Voltage fluctuation suppression strategy based on the flexible multi-state switch in distribution network[J]. High voltage engineering, 2020, 46(4): 1152-1160.
[5] 王成山, 孙充勃, 李鹏, 等. 基于SNOP的配电网运行优化分析[J]. 电力系统自动化, 2015, 39(9): 82-87.
WANG C S, SUN C B, LI P, et al.SNOP-based operation optimization and analysis of distribution networks[J]. Automation of electric power systems, 2015, 39(9): 82-87.
[6] 娄铖伟, 张筱慧, 丛鹏伟, 等. 含柔性软开关的有源配电网故障恢复策略[J]. 电力系统自动化, 2018, 42(1): 23-31.
LOU C W, ZHANG X H, CONG P W, et al.Service restoration strategy of active distribution network with soft open points[J]. Automation of electric power systems, 2018, 42(1): 23-31.
[7] LI P, SONG G Y, JI H R, et al.A supply restoration method of distribution system based on soft open point[C]//2016 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia), Melbourne, VIC, USA, IEEE, 2016: 535-539.
[8] LI P, JI H R, WANG C S, et al.Coordinated control method of voltage and reactive power for active distribution networks based on soft open point[J]. IEEE transactions on sustainable energy, 2017, 8(4): 1430-1442.
[9] LI P, JI H R, WANG C S, et al.Optimal operation of soft open points in active distribution networks under three-phase unbalanced conditions[J]. IEEE transactions on smart grid, 2019, 10(1): 380-391.
[10] CAO W Y, WU J Z, JENKINS N, et al.Operating principle of soft open points for electrical distribution network operation[J]. Applied energy, 2015, 164: 245-257.
[11] 王成山, 宋关羽, 李鹏. 基于智能软开关的智能配电网柔性互联技术及展望[J]. 电力系统自动化, 2016, 40(22): 168-175.
WANG C S, SONG G Y, LI P, et al.Research and prospect for soft open point based flexible interconnection technology for smart distribution network[J]. Automation of electric power systems, 2016, 40(22): 168-175.
[12] BLOEMINK J M, GREEN T C.Increasing photovoltaic penetration with local energy storage and soft normally-open points[C] //2011 IEEE Power and Energy Society General Meeting, Detroit, MI, USA: IEEE, 2011: 1-8.
[13] 熊正勇, 苗虹, 曾成碧. 基于智能软开关与储能系统联合的有源配电网运行优化[J]. 电测与仪表, 2020, 57(13): 33-39.
XIONG Z Y, MIAO H, ZENG C B.Operation optimization of active distribution network based on smart soft open point and energy storage system[J]. Electrical measurement & instrumentation, 2020, 57(13): 33-39.
[14] DING Z J, WANG C Y, WANG F, et al.Planning of soft open point integrated with ESS in active distribution network[C] //2021 The 3rd Asia Energy and Electrical Engineering Symposium, Chengdu,China: IEEE, 2021: 427-432.
[15] OUYANG S D, LIU J J, YANG Y, et al.DC voltage control strategy of three-terminal medium-voltage power electronic transformer-based soft normally open points[J]. IEEE transactions on industrial electronics, 2020, 67(5): 3684-3695.
[16] MOAHAMED A A, LONG C, WU J Z, et al.Optimal operation of multi-terminal soft open point to increase hosting capacity of distributed generation in medium voltage networks[C] //International Universities Power Engineering Conference(UPEC), Glasgow, UK, IEEE, 2018: 1-6.
[17] JI H R, WANG C S, LI P, et al.An enhanced SOCP-based method for feeder load balancing using the multi-terminal soft open point in active distribution networks[J]. Applied energy, 2017, 208: 986-995.
[18] 孙峰洲, 马骏超, 于淼, 等. 含多端柔性多状态开关的主动配电网日前-日内协调能量管理方法[J]. 中国电机工程学报, 2020, 40(3): 778-789.
SUN F Z, MA J C, YU M, et al.A day-ahead and intraday coordinated energy management method for active distribution networks based on multi-terminal flexible distribution switch[J]. Proceedings of the CSEE, 2020, 40(3): 778-789.
[19] QI Q, WU J Z, LONG C.Multi-objective operation of an electrical distribution network with soft open point[J]. Applied energy, 2017, 208: 734-744.
[20] SHAFIK M B, CHEN H K, GHAMGEEN I R, et al.Adequate topology for efficient energy resources utilization of active distribution networks equipped with soft open points[J]. IEEE access, 2019, 7: 99003-99016.
[21] 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 C, ZHOU X X, LI R M, 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.
[22] 黄南天, 包佳瑞奇, 蔡国伟, 等. 多主体联合投资微电网源-储多策略有限理性决策演化博弈容量规划[J]. 中国电机工程学报, 2020, 40(4): 1212-1225.
HUANG N T, BAO J R Q, CAI G W, et al. Multi-agent joint investment microgrid source-storage multi-strategy bounded rational decision evolution game capacity planning[J]. Proceedings of the CSEE, 2020, 40(4): 1212-1225.
[23] 付菊霞, 陈洁, 滕扬新, 等. 基于集合经验模态分解的风电混合储能系统能量协调控制策略[J]. 电工技术学报, 2019, 34(10): 2038-2046.
FU J X, CHEN J, TENG Y X, et al.Energy management coordination control strategy for wind power hybrid energy storage system based on EMMD[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2038-2046.
[24] 刘畅, 卓建坤, 赵东明, 等. 利用储能系统实现可再生能源微电网灵活安全运行的研究综述[J]. 中国电机工程学报, 2020, 40(1): 1-18.
LIU C, ZHUO J K, ZHAO D M, et al.A review on the utilization of energy storage system for the flexible and safe operation of renewable energy microgrids[J]. Proceedings of the CSEE, 2020, 40(1): 1-18.
[25] 王侨侨, 曾君, 刘俊峰, 等. 面向微电网源-储-荷互动的分布式多目标优化算法研究[J]. 中国电机工程学报, 2020, 40(5): 1421-1431.
WANG Q Q, ZENG J, LIU J F, et al.A distributed multi-objective optimization algorithm for resource-storage-load interaction of microgrid[J]. Proceedings of the CSEE, 2020, 40(5): 1424-1431.
[26] SANJIB G.Multi-objective planning for reactive power compensation of radial distribution networks with unified power quality conditioner allocation using particle swarm optimization[J]. IEEE transactions on power systems, 2014, 29(4): 1801-1811.
[27] MESUT E B, FELIX F W.Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE transactions on power delivery, 1989, 4(2): 1402-1407.
[28] 王成山, 宋关羽, 李鹏, 等. 考虑分布式电源运行特性的有源配电网智能软开关SOP规划方法[J]. 中国电机工程学报, 2017, 37(7): 1889-1896.
WANG C S, SONG G Y, LI P, et al.Optimal configuration of soft open point for active distribution network considering the characteristics of distributed generation[J]. Proceedings of the CSEE, 2017, 37(7): 1889-1896.
[29] 王俊丰, 孔令生, 范心明, 等. 面向有源配电网运行经济性的智能储能软开关规划[J]. 电力建设, 2020, 41(10): 63-70.
WANG J F, KONG L S, FAN X M, et al.Optimal planning for soft open point integrated with ESS to improve the economy of active distribution network[J]. Electric power construction, 2020, 41(10): 63-70.
[30] 王荔妍, 陈启鑫, 何冠楠, 等. 考虑电池储能寿命模型的发电计划优化[J]. 电力系统自动化, 2019, 43(8): 93-100.
WANG L Y, CHEN Q X, HE G N, et al.Optimization of generation scheduling considering battery energy storage life model[J]. Automation of electric power systems, 2019, 43(8): 93-100.
[31] 郭明萱, 穆云飞, 肖迁, 等. 考虑电池寿命损耗的园区综合能源电/热混合储能优化配置[J]. 电力系统自动化, 2021, 45(13): 66-75.
GUO M X, MU Y F, XIAO Q, et al.Optimal configuration of electric/thermal hybrid energy storage for park-level integrated energy system considering battery life loss[J]. Automation of electric power systems, 2021, 45(13): 66-75.

基金

山东省重点研发计划(重大科技创新工程)(2019JZZY010902); 山东省自然科学基金(ZR2020ME197); 国家自然科学基金(51761135014)

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