Optimal configuration of energy storage system in active distribution network with the consideration of reliability

doi:10.19799/j.cnki.2095-4239.2022.0621

Abstract

Abstract:

In this paper, the optimal configuration of energy storage systems in active distribution networks with reliability in mind is investigated. First, a reliable calculation method for power supply reliability of a distribution network with a source is proposed, taking into account load time series, distributed photovoltaic output, and energy storage system operation. Then, with reliability in mind, an optimal configuration model of an energy storage system in an active distribution network is proposed. The model comprehensively considers the distribution network's reliability and economy indexes, and the constraints include distribution network power flow, system power balance, photovoltaic output, and energy storage system operation. Finally, using a 17-node distribution network as an example, the genetic algorithm is used to solve the model in this paper, resulting in the optimal installation location and capacity of the energy storage system in the photovoltaic distribution system. Furthermore, the effects of various installation schemes including synchronous configuration of energy storage and distributed photovoltaic, centralized configuration of energy storage on the system side, and setting of weight coefficients of sub-objectives on the objective function are evaluated and discussed.

Key words: active distribution network, distributed photovoltaic, energy storage system, reliability, optimal configuration

CLC Number:

TM 711

Meiqian HOU, Qifan NIU, Jie XING, Yinghao SHAN. Optimal configuration of energy storage system in active distribution network with the consideration of reliability[J]. Energy Storage Science and Technology, 2023, 12(2): 504-514.

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References 31

1	孙玉树, 杨敏, 师长立, 等. 储能的应用现状和发展趋势分析[J]. 高电压技术, 2020, 46(1): 80-89.
	SUN Y S, YANG M, SHI C L, et al. Analysis of application status and development trend of energy storage[J]. High Voltage Engineering, 2020, 46(1): 80-89.
2	NADEEM F, HUSSAIN S M S, TIWARI P K, et al. Comparative review of energy storage systems, their roles, and impacts on future power systems[J]. IEEE Access, 2018, 7: 4555-4585.
3	徐潇源, 王晗, 严正, 等. 能源转型背景下电力系统不确定性及应对方法综述[J]. 电力系统自动化, 2021, 45(16): 2-13.
	XU X Y, WANG H, YAN Z, et al. Overview of power system uncertainty and its solutions under energy transition[J]. Automation of Electric Power Systems, 2021, 45(16): 2-13.
4	李瑜, 张占强, 孟克其劳, 等. 基于分层控制的孤岛微电网储能优化控制策略[J]. 储能科学与技术, 2022, 11(1): 176-184.
	LI Y, ZHANG Z Q, MENG K, et al. Optimal control strategy for energy storage in island microgrid based on hierarchical control[J]. Energy Storage Science and Technology, 2022, 11(1): 176-184.
5	和萍, 宫智杰, 靳浩然, 等. 高比例可再生能源电力系统调峰问题综述[J]. 电力建设, 2022, 43(11): 108-121.
	HE P, GONG Z J, JIN H R, et al. Review of peak-shaving problem of electric power system with high proportion of renewable energy[J]. Electric Power Construction, 2022, 43(11): 108-121.
6	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 G P, LI M J, XU T, et al. Study on technical bottleneck of new energy development[J]. Proceedings of the CSEE, 2017, 37(1): 20-27.
7	LEE S J, KIM J H, KIM C H, et al. Coordinated control algorithm for distributed battery energy storage systems for mitigating voltage and frequency deviations[J]. IEEE Transactions on Smart Grid, 2016, 7(3): 1713-1722.
8	欧阳森, 陈欣晖, 杨家豪. 配电网分布式风电与电池储能的协调优化配置[J]. 华南理工大学学报(自然科学版), 2017, 45(4): 30-36, 43.
	OUYANG S, CHEN X H, YANG J H. Coordinated optimal allocation of distributed wind generator and battery energy storage in distribution network[J]. Journal of South China University of Technology (Natural Science Edition), 2017, 45(4): 30-36, 43.
9	果营, 王丹, 李思源, 等. 基于安全域的区域综合能源系统储能优化配置[J]. 电网技术, 2022, 46(2): 604-614.
	GUO Y, WANG D, LI S Y, et al. Optimal allocation of energy storage in regional integrated energy system based on security region[J]. Power System Technology, 2022, 46(2): 604-614.
10	孟源, 樊小朝, 史瑞静, 等. 基于机会约束及N-1安全约束的风光联合储能系统选址定容优化[J]. 电网技术, 2021, 45(5): 1886-1893.
	MENG Y, FAN X C, SHI R J, et al. Optimization of location and capacity for wind-solar-energy storage combined system based on chance constraints and N-1 security constraints[J]. Power System Technology, 2021, 45(5): 1886-1893.
11	林哲, 胡泽春, 宋永华. 考虑N-1准则的配电网与分布式储能联合规划[J]. 中国电机工程学报, 2021, 41(13): 4390-4403.
	LIN Z, HU Z C, SONG Y H. Joint planning of distribution network expansion and distributed energy storage systems under N-1 criterion[J]. Proceedings of the CSEE, 2021, 41(13): 4390-4403.
12	颜志敏, 王承民, 连鸿波, 等. 计及缺电成本的用户侧蓄电池储能系统容量规划[J]. 电力系统自动化, 2012, 36(11): 50-54.
	YAN Z M, WANG C M, LIAN H B, et al. Capacity plan of battery energy storage system in user side considering power outage cost[J]. Automation of Electric Power Systems, 2012, 36(11): 50-54.
13	郭斌, 邢洁, 姚飞, 等. 基于双层规划模型的用户侧混合储能优化配置[J]. 储能科学与技术, 2022, 11(2): 615-622.
	GUO B, XING J, YAO F, et al. Optimal configuration of user-side hybrid energy storage based on bi-level programming model[J]. Energy Storage Science and Technology, 2022, 11(2): 615-622.
14	向育鹏, 卫志农, 孙国强, 等. 基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J]. 电网技术, 2015, 39(1): 264-270.
	XIANG Y P, WEI Z N, SUN G Q, et al. Life cycle cost based optimal configuration of battery energy storage system in distribution network[J]. Power System Technology, 2015, 39(1): 264-270.
15	LEE T Y, CHEN N M. Determination of optimal contract capacities and optimal sizes of battery energy storage systems for time-of-use rates industrial customers[J]. IEEE Transactions on Energy Conversion, 1995, 10(3): 562-568.
16	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, 2.
	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, 2.
17	陶琼, 桑丙玉, 叶季蕾, 等. 高光伏渗透率配电网中分布式储能系统的优化配置方法[J]. 高电压技术, 2016, 42(7): 2158-2165.
	TAO Q, SANG B Y, YE J L, et al. Optimal configuration method of distributed energy storage systems in distribution network with high penetration of photovoltaic[J]. High Voltage Engineering, 2016, 42(7): 2158-2165.
18	丁倩, 曾平良, 孙轶恺, 等. 一种考虑可再生能源不确定性的分布式储能电站选址定容规划方法[J]. 储能科学与技术, 2020, 9(1): 162-169.
	DING Q, ZENG P L, SUN Y K, et al. A planning method for the placement and sizing of distributed energy storage system considering the uncertainty of renewable energy sources[J]. Energy Storage Science and Technology, 2020, 9(1): 162-169.
19	李阳洋, 关轶文, 赵佳琪, 等. 基于优化模型的有源配电网可靠性评估方法[J/OL]. 中国电机工程学报. 2022[2022-03-24]. https://kns.cnki.net/kcms/detail/11.2107.tm.20220322.1547.002.html.
	LI Y Y, GUAN Y W, ZHAO J Q, et al. Reliability evaluation method of active distribution network based on optimization model[J/OL]. Proceedings of the CSEE. 2022[2022-03-24]. https://kns.cnki.net/kcms/detail/11.2107.tm.20220322.1547.002.html.
20	ZOU K, MOHY-UD-DIN G, AGALGAONKAR A P, et al. Distribution system restoration with renewable resources for reliability improvement under system uncertainties[J]. IEEE Transactions on Industrial Electronics, 2020, 67(10): 8438-8449.
21	AWAD A S A, EL-FOULY T H M, SALAMA M M A. Optimal ESS allocation and load shedding for improving distribution system reliability[J]. IEEE Transactions on Smart Grid, 2014, 5(5): 2339-2349.
22	苏海锋, 胡梦锦, 梁志瑞. 基于时序特性含储能装置的分布式电源规划[J]. 电力自动化设备, 2016, 36(6): 56-63.
	SU H F, HU M J, LIANG Z R. Distributed generation & energy storage planning based on timing characteristics[J]. Electric Power Automation Equipment, 2016, 36(6): 56-63.
23	徐全, 袁智勇, 雷金勇, 等. 考虑有源配电网综合成本的储能系统规划方法[J]. 电力系统及其自动化学报, 2020, 32(10): 117-124.
	XU Q, YUAN Z Y, LEI J Y, et al. Planning method for energy storage system considering comprehensive cost of active distribution network[J]. Proceedings of the CSU-EPSA, 2020, 32(10): 117-124.
24	王凯亮, 孔慧超, 李俊辉, 等. 考虑配电网可靠性的储能系统选址定容优化[J]. 南方电网技术, 2022, 16(4): 21-29.
	WANG K L, KONG H C, LI J H, et al. Optimization of energy storage system location and capacity considering the reliability of distribution network[J]. Southern Power System Technology, 2022, 16(4): 21-29.
25	杨帆, 张章, 徐晶, 等. 面向可靠性提升的配电网分布式储能规划[J]. 电力电容器与无功补偿, 2022, 43(1): 188-196.
	YANG F, ZHANG Z, XU J, et al. Distributed energy storage planning of distribution network for reliability improvement[J]. Power Capacitor & Reactive Power Compensation, 2022, 43(1): 188-196.
26	李振坤, 李一骄, 张代红, 等. 储能设备对有源配电网供电可靠性的影响分析及优化配置[J]. 电网技术, 2018, 42(11): 3676-3683.
	LI Z K, LI Y J, ZHANG D H, et al. Influence analysis of energy storage device on reliability of distribution network and its optimal allocation[J]. Power System Technology, 2018, 42(11): 3676-3683.
27	丁明, 吴杰, 张晶晶. 面向风电平抑的混合储能系统容量配置方法[J]. 太阳能学报, 2019, 40(3): 593-599.
	DING M, WU J, ZHANG J J. Capacity optimization method of hybrid energy storage system for wind power smoothing[J]. Acta Energiae Solaris Sinica, 2019, 40(3): 593-599.
28	修晓青, 唐巍, 李建林, 等. 计及电池健康状态的源储荷协同配置方法[J]. 高电压技术, 2017, 43(9): 3118-3126.
	XIU X Q, TANG W, LI J L, et al. Collaborative configuration of distributed generation, energy storage and load in microgrid considering state of health[J]. High Voltage Engineering, 2017, 43(9): 3118-3126.
29	韩莹, 于三川, 李荦一, 等. 计及阶梯式碳交易的风光氢储微电网低碳经济配置方法[J]. 高电压技术, 2022, 48(7): 2523-2533.
	HAN Y, YU S C, LI L Y, et al. Low-carbon and economic configuration method for solar hydrogen storage microgrid including stepped carbon trading[J]. High Voltage Engineering, 2022, 48(7): 2523-2533.
30	程杉, 汪业乔, 廖玮霖, 等. 含电动汽车的新能源微电网多目标分层优化调度[J]. 电力系统保护与控制, 2022, 50(12): 63-71.
	CHENG S, WANG Y Q, LIAO W L, et al. Bi-level multi-objective optimization of a new energy microgrid with electric vehicles[J]. Power System Protection and Control, 2022, 50(12): 63-71.
31	王彦虹, 邰能灵, 嵇康. 含大规模风光电源的配电网储能电池选址定容优化方案[J]. 电力科学与技术学报, 2017, 32(2): 23-30.
	WANG Y H, TAI N L, JI K. Optimal battery storage allocation in distributed network with large-scale of wind and photovoltaic generation[J]. Journal of Electric Power Science and Technology, 2017, 32(2): 23-30.

储能安装个数	储能安装位置(容量/MWh)	储能总容量/MWh	目标函数	供电可靠率	收益比	投资回收期/年	C_c/元	C_bess/元	C_e/元
1	17(1.66)	1.66	0.008	98.2285%	0.14	7.15	413.75	7955.51	1136.13
3	5(0.72)、13(0.67)、17(0.54)	1.93	0.011	98.3070%	0.15	6.67	481.42	8648.41	1387.33
16	2-17(0.62)	9.92	0.023	98.3272%	0.10	10.00	2474.44	10736.60	1342.16

方案	储能配置点(容量/MWh)	储能总容量/MWh	目标函数	供电可靠率	收益比	投资回收期/年	C_c/元	C_bess/元	C_e/元
本研究方案	5(0.72)、13(0.67)、17(0.54)	1.93	0.011	98.3070%	0.15	6.67	481.42	8648.41	1387.33
对比方案一	5(0.72)、13(0.67)、16(0.54)	1.93	0.034	98.2719%	0.14	7.15	481.42	6381.76	994.23
对比方案二	4(0.72)、13(0.67)、16(0.54)	1.93	0.098	98.2308%	0.12	8.34	481.42	3366.84	480.54
对比方案三	5(3)、13(2.5)、17(2.5)	8	0.114	98.3076%	0.12	8.34	1995.52	40359.12	5078.06
对比方案四	5(3)、13(3)、17(3)	9	0.126	98.3088%	0.12	8.34	2244.96	45432.51	5537.29

权重	储能配置点(容量/MWh)	储能总容量/MWh	C_c/元	C_bess/元	C_e/元
λ_δ =0.2	5(0.53)、13(0.70)、17(1.05)	2.28	569.02	10307.46	1619.66
λ_δ =0.3	5(0.65)、13(0.65)、17(0.79)	2.09	522.75	9423.89	1498.44
λ_δ =0.5	5(0.72)、13(0.67)、17(0.54)	1.93	481.42	8648.41	1387.33
λ_δ =0.8	5(0.63)、13(0.51)、17(0.55)	1.69	421.66	7533.38	1226.21

始节点	终节点	线路长度/km	开关、断路器数量/个
1	2	0.13	3
2	3	0.18	1
3	4	0.27	1
4	5	0.13	1
5	6	0.41	1
6	7	0.13	1
7	8	0.77	1
8	9	1.82	1
3	10	0.77	1
2	11	1.32	1
11	12	1.00	1
12	13	2.18	1
12	14	1.82	1
14	15	1.32	1
14	16	1.68	1
16	17	1.00	1

参数符号	含义	数值
C_E	BESS单位容量价格	150万元/MWh
SOC_max	BESS荷电状态下限值	0.1
SOC_min	BESS荷电状态上限值	0.9
N_rate	额定放电深度下储能系统的循环次数	3000次
D_rate	额定充放电深度	90%
α	BESS运行维护费用率	1%
η_c	BESS充电效率	90%
η_d	BESS放电效率	90%
r_PV	光伏切换成功率	0.9995
r_ess	储能切换成功率	0.9997
c_u	高峰时段电价	904.2元/MWh
c_d	低谷时段电价	311.8元/MWh