Evaluation Index System Research on Carrying Capacity in Active Distribution Network Under Background of Regional Energy Internet

doi:10.16628/j.cnki.2095-8188.2022.10.004

Abstract

Abstract:

With the massive multi power and load connect to distributed network,an active distribution network for the energy interconnection is formed.In order to evaluate the adaptability of distribution network to multi power and load,an evaluation method for the carrying capacity of active distribution network oriented to the regional energy internet is proposed.Firstly,the level of power supply capacity,power quality and network loss which are caused by the distributed generation connect to active distributed network is analyzed.Secondly,the evaluation index system of the active distribution network carrying capacity based on 18 underlying indicators is established.Then,the entropy weight method is proposed to calculate index weight.Finally,taking the module of IEEE 33,the carrying capacity of active distribution network is calculated,which can provide the scientific reference advice and suggestion for distribution network planning,construction and operation control.

Key words: regional energy internet, active distribution network, distributed generation, carrying capacity, evaluation index

CLC Number:

TM930

FEI Ke, WANG Xiaodong, SHA Yucheng, XU Chao, GUO Hao, MA Yongzhen. Evaluation Index System Research on Carrying Capacity in Active Distribution Network Under Background of Regional Energy Internet[J]. LOW VOLTAGE APPARATUS, 2022, 0(10): 25-31.

Figures/Tables 14

References 10

[1]	ENTSOE, EDSO. European electricity grid initiative road-map and implementation plan:European Commission,ERGEG[G].2010.
[2]	SMITH J W, DUGAN R, RYLANDER M, et al. Advanced distribution planning tools for high penetration PV deployment:2012 IEEE Power and Energy Society General Meeting[C]. 2012.
[3]	RENO M J, KYLE C, SANTIAGO G, et al. PV interconnection risk analysis through distribution system impact signatures and feeder zones:IEEE PES General Meeting /Conference & Exposition[C]. 2014.
[4]	BALLANTI A, OCHOA L F. On the integrated PV hosting capacity of MV and LV distribution networks:2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)[C]. 2015
[5]	ETHERDEN N, BOLLEN M H J. Increasing the hosting capacity of distribution networks by curtailment of renewable energy resources:2011 IEEE Trondheim PowerTech[C]. 2011.
[6]	TAKENOBU Y, KAWANO S, HAYASHI Y, et al. Maximizing hosting capacity of distributed generation by network reconfiguration in distribution system:2016 Power Systems Computation Conference (PSCC)[C]. 2016.
[7]	付学谦, 陈皓勇, 刘国特. 分布式电源电能质量综合评估方法[J]. 中国电机工程学报, 2014, 34(25):4270-4276.
[8]	张世翔, 邵慧壮. 基于分布式电源的配电网综合效益评估[J]. 上海电力学院学报, 2015, 31(1):19-23.
[9]	陈炽野, 文亚凤, 刘自发, 等. 含有多种分布式电源的配电网综合评估方法[J]. 电力建设, 2015, 36(1):128-135. doi: 10.3969/j.issn.1000－7229.2015.01.020
[10]	姚刚, 杨明, 吕超. 考虑可靠性和经济性的配电网评价方法[J]. 电器与能效管理, 2016(1):52-55.

评估目标		A	B	C	D	E	F
指标	正向	A1	B1,B3	C1,C2, C3	D2	E1	F3
指标	反向	A2,A3	B2	C4	D1	E2,E3	F1,F2

评估指标	分布式电源渗透率/%
评估指标	5	15	30	50
供电可靠率/%	99.947	99.951	99.957	99.962
平均停电频率/[次·(户)^-1]	0.213	0.207	0.198	0.195
平均停电时间[(户)^-1]	3.12	3.1	3.07	3.01
线路N-1通过率/%	100	100	100	100
最大短路容量/MVA	679	713	732	749
潮流分布均匀度/%	69.84	76.88	82.02	86.46
新能源消纳率/%	0.13	0.27	0.4	0.53
净负荷最大允许爬坡率/%	24.55	28.41	31.57	36.97
负荷供应匹配度/%	59	68	77	84
负荷最大不平衡度/%	30.16	23.12	17.98	13.54
线损率/%	4.5	4.1	3.34	3.12
负荷利用率/%	54.88	56.18	62.59	70.17
电压合格率/%	99.14	99.02	98.78	98.01
电源偏移率/%	1.01	1.03	1.09	1.11
谐波畸变率/%	1.14	1.15	1.17	1.19
线路最大负载率/%	37.23	47.15	58.14	68.12
线路N-1最大负载率/%	58.16	62.18	69.25	76.9
负荷转供比例/%	24.02	30.52	36.71	40.21

评分项	分布式电源渗透率%
评分项	5	15	30	50
主动配电网承载能力	86.52	86.89	87.13	86.73