考虑负荷动态特性的多阶段光储协调规划研究

陈长青; 李欣然; 张冰玉; 王逸超

doi:10.19912/j.0254-0096.tynxb.2020-1038

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太阳能学报 ›› 2022, Vol. 43 ›› Issue (6) : 8-16. DOI: 10.19912/j.0254-0096.tynxb.2020-1038

考虑负荷动态特性的多阶段光储协调规划研究

陈长青^1,2, 李欣然¹, 张冰玉¹, 王逸超³

作者信息 +

RESEARCH ON MULTI-STAGE OPTICAL STORAGE COORDINATION PLANNING CONSIDERING LOAD DYNAMIC CHARACTERISTICS

Chen Changqing^1,2, Li Xinran¹, Zhang Bingyu¹, Wang Yichao³

Author information +

文章历史 +

摘要

高渗透分布式光伏（DPV）配电网中,对电池储能系统（BESS）规划研究主要基于给定的负荷和DPV,以BESS降低DPV波动对电网造成的负面影响,较少考虑负荷增长和分布（LID）。针对该问题,提出以短期规划经济目标为基础,结合负荷动态增长和随机分布特性,储能和光伏的时序互补性,构建多阶段规划指标体系,并提出不同阶段的规划策略,从而实现BESS和DPV的多阶段协调规划。最后对10 kV 36节点配电网进行仿真,其结果表明,DPV和BESS协调规划能有效降低两者配置容量;且LID在DPV和BESS协调规划中起关键作用。

Abstract

In the high-permeability distributed photovoltaic （distributed photovoltaic DPV） distribution network, the battery energy storage system （battery energy storage system, BESS） planning research is mainly based on a given Load and DPV in which BESS is used to reduce the negative impact of DPV fluctuations on the power grid, and less consideration is given to load growth and distribution load increased and distribution（LID）. To solve this problem, a multi-stage planning index system was proposed based on short-term planning economic objectives,combined with dynamic load growth and random distribution characteristics and the timing complementarity of energy storage and photovoltaic. At the same time, the planning strategies of different stages were proposed,so as to realize multi-stage coordinated planning of BESS and DPV. Finally, the 10 kV 36-node distribution network is simulated. The results show that the coordinated planning of DPV and BESS can effectively reduce the configuration capacity of both. LID plays a key role in the coordinated planning of DPV and BESS.

导出引用

陈长青, 李欣然, 张冰玉, 王逸超. 考虑负荷动态特性的多阶段光储协调规划研究[J]. 太阳能学报. 2022, 43(6): 8-16 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1038

Chen Changqing, Li Xinran, Zhang Bingyu, Wang Yichao. RESEARCH ON MULTI-STAGE OPTICAL STORAGE COORDINATION PLANNING CONSIDERING LOAD DYNAMIC CHARACTERISTICS[J]. Acta Energiae Solaris Sinica. 2022, 43(6): 8-16 https://doi.org/10.19912/j.0254-0096.tynxb.2020-1038

中图分类号： TK513.5

参考文献

[1] ZHANG C, XU Y, DONG Z Y, et al.Robust operation of microgrids via two-stage coordinated energy storage and direct load control[J]. IEEE transactions on power system, 2017, 32(4): 2858-2868 .
[2] LUO F, MENG K, DONG Z Y, et al.Coordinated operational planning for wind farm with battery energy storage system[J]. IEEE transactions on sustainable energy, 2015, 6(1): 253-262 .
[3] GHOFRANI M, ARABALI A, ETEZADI-AMOLI M, et al.A framework for optimal placement of energy storage units within a power system with high wind penetration[J]. IEEE transactions on sustainable energy, 2013, 4(2): 434-442.
[4] WEN S L, LAN H, FU Q.Economic allocation for energy storage system considering wind power distribution[J]. IEEE transactions on power systems, 2015, 30(2): 644-652.
[5] 李军徽, 张嘉辉, 穆钢, 等. 储能辅助火电机组深度调峰的分层优化调度[J]. 电网技术, 2019, 43(11): 3961-3969.
LI J H, ZHANG J H, MU G, et al.Stratified optimal scheduling for deep peak shaving of thermal power units assisted by energy storage[J]. Power grid technology, 2019, 43(11): 3961-3969.
[6] 张江林, 庄慧敏, 刘俊勇, 等. 分布式储能系统参与调压的主动配电网两段式电压协调控制策略[J]. 电力自动化设备, 2019, 39(5): 15-21.
ZHANG J L, ZHUANG H M, LIU J Y, et al.Two-stage coordinated voltage control scheme of active distribution network with voltage support of distributed energy storage system[J]. Electric power automation equipment, 2019, 39(5): 15-21.
[7] 李欣然, 崔曦文, 黄际元, 等. 电池储能电源参与电网一次调频的自适应控制策略[J]. 电工技术学报, 2019, 34(18): 3897-3908.
LI X R, CUI X W, HUANG J Y, et al.Adaptive control strategy of battery energy storage power supply participating in primary frequency modulation of power grid[J]. Transactions of China Electrotechnical Sociaty, 2019, 34(18): 3897-3908.
[8] 熊连松, 修连成, 王慧敏, 等. 储能系统抑制电网功率振荡的机理研究[J]. 电工技术学报, 2019, 34(20): 4373-4380.
XIONG L S, XIU L C, WANG H M, et al.Mechanism of energy storage system to suppress grid power oscillations[J]. Transactions of China Electrotechnical Society, 2019, 34(20): 4373-4380.
[9] EHSAN A, YANG Q.Coordinated investment planning of distributed multi-type stochastic generation and battery storage in active distribution networks[J]. IEEE transactions on sustainable energy, 2018, 10(4): 1813-1822.
[10] MALLOL-POYATO R, JIMNEZ-FERNNDEZ S, DAZ-VILLAR P, et al.Joint optimization of a microgrid’s structure design and its operation using a twosteps evolutionary algorithm[J]. Energy, 2016, 94: 775-785.
[11] QIU T, XU B L, WANG Y S, et al.Stochastic multistage coplanning of transmission expansion and energy storage[J]. IEEE transactions on power systems, 2017, 32(1): 643-651.
[12] 丁明, 方慧, 毕锐. 等. 基于集群划分的配电网分布式光伏与储能选址定容规划[J]. 中国电机工程学报, 2019, 39(8): 2187-2201.
DING M, FANG H, BI R, et al.Optimal siting and sizing of distributed PV-storage in distribution network based on cluster partition[J]. Proceedings of the CSEE, 2019, 39(8): 2187-2201
[13] 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 C Q, YANG T G.Research on grid energy storage and photovoltaic coordination planning with flexible load[J]. Power system protection and control, 2021, 49(4): 169-177.
[14] PURVINS A, SUNMER M.Optimal mnagement of stationary litbiumion battery system in electricuty dstribution grid[J]. Jourmal of power sources, 2013. 24(2):742-755.
[15] ZHAO B, XU Z C, XU C, at el. Network partition based zonal voltage control for distribution networks with distributed PV systems[J]. IEEE transactions on smart grid, 2018, 5(9): 4087-4098.
[16] 修晓青. 储能系统容量优化配置及全寿命周期经济性评估方法研究[D]. 北京: 中国农业大学, 2018.
XIU X Q.Research on capacity optimization configuration and life cycle economic evaluation method of energy storage system[D]. Beijing: China Agricultural University, 2018.