Spatio-Temporal Adaptation Assessment of Key Technologies of New Distribution Network Based on 3D Space

doi:10.16183/j.cnki.jsjtu.2023.053

Abstract

Abstract:

In the context of the development of new power systems, a three-dimensional spatio-temporal adaptation assessment model based on grid satisfaction, spatio-temporal resources, and effectiveness improvement is proposed to address the problems of distribution network planning and construction, the adaptability of key distribution network technologies to the space and time in which they are applied, and the difficulty of quantifying application defects. Subjective assignment in hierarchical analysis is improved using continuous interval ordered weighted average operator, and the problem of bias of the single assignment method is solved by the introduction of a subjective-objective combination assignment method constructed by the conflicting correlation among criteria method. The degree of affiliation of each indicator is determined using the fuzzy integrated evaluation method and the evaluation level is then obtained. The case studies show that the proposed method can quantify the degree of fit between the key technologies of the distribution network and the space-time, identify the adaptability of the key technologies to different space-times and the degree of satisfaction of the application of the technologies in different space-times, and reveal the weaknesses of the key technologies of the distribution network, which can help improve the efficiency and effectiveness of the investment in the distribution network and better serve the high-quality development of the economy and society.

Key words: spatio-temporal resources, three dimensions space evaluation, combination of empowerment, analysis of weaknesses, continuous interval argument-ordered weighted averaging (C-OWA) operator

CLC Number:

TM727

LIU Dongming, ZENG Qingbin, ZHANG Yongjun, ZHANG Jun, FAN Wei, LIU Yu. Spatio-Temporal Adaptation Assessment of Key Technologies of New Distribution Network Based on 3D Space[J]. Journal of Shanghai Jiao Tong University, 2024, 58(10): 1489-1499.

Figures/Tables 12

Fig.1

Fig.2

Fig.3

Tab.1

Tab.2

Tab.3

Fig.4

Tab.4

Index weight

指标	C-OWA
A11	0.6625	0.2509	0.1662	0.0274	0.0821
A12	0.8000	0.4072	0.3258	0.0351	0.1302
A13	0.4938	0.1208	0.0597	0.0342	0.0550
A14	0.3250	0.0546	0.0177	0.0326	0.0292
A15	0.3312	0.0643	0.0213	0.0326	0.0321
A21	0.2687	0.0407	0.0109	0.0289	0.0216
A22	0.3688	0.0615	0.0227	0.0555	0.0432
B11	0	0.0364	0	0.0548	0
B12	0.0688	0.0628	0.0043	0.0438	0.0167
B13	0	0.0364	0	0.0647	0
B14	0	0.0364	0	0.0631	0
B15	0.8688	0.4904	0.4261	0.0317	0.1415
B21	0.1250	0.0891	0.0111	0.0265	0.0209
B22	0.0313	0.0698	0.0022	0.0279	0.0095
B23	0	0.0379	0	0.0594	0
B24	0.2000	0.1408	0.0282	0.0295	0.0351
C11	0.8938	0.2674	0.2390	0.0324	0.1071
C12	0.8938	0.2674	0.2390	0.0303	0.1036
C13	0.0688	0.0335	0.0023	0.0298	0.0101
C21	0	0.0215	0	0.0268	0
C22	0	0.0215	0	0.0614	0
C23	0	0.0215	0	0.0462	0
C24	0	0.0215	0	0.0291	0
C31	0.7750	0.1811	0.1404	0.0305	0.0796
C32	0.7000	0.1152	0.0806	0.0325	0.0623
C41	0.1688	0.0494	0.0083	0.0333	0.0202
C42	0.2000	0.1408	0.0282	0.0295	0.0351

Tab.4

Tab.5

Fig.5

Tab.6

Fig.6

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等级类型	主要特征	等级特征
不契合型	X、Y、Z三轴评价指标均为差,或其中仅有一轴为良	所评价的配电网关键技术完全不适合在该时空建设应用
较不契合型	X、Y、Z三轴评价指标中有两轴为良一轴为差,或有两轴为差一轴为优	所评价的配电网关键技术不适合在该时空建设应用
契合型	X、Y、Z三轴评价指标均为良,或三轴分别为优良差	所评价的配电网关键技术可以在该时空建设应用
较为契合型	X、Y、Z三轴评价指标中有两轴为良一轴为优,或有两轴为优一轴为差	所评价的配电网关键技术较为适合在该时空建设应用
完全契合型	X、Y、Z三轴评价指标均为优,或其中仅有一轴为良	所评价的配电网关键技术完全适合在该时空建设应用

标度	含义
1	表示两个元素相比,具有同样的重要性
3	表示两个元素相比,前者比后者稍重要
5	表示两个元素相比,前者比后者明显重要
7	表示两个元素相比,前者比后者非常重要
9	表示两个元素相比,前者比后者极其重要
2,4,6,8	表示上述相邻判断的中间值
1~9的倒数	表示相应两因素交换次序比较的重要性

评价指标	指标类型	分类等级
评价指标	指标类型	3级(优)	2级(良)	1级(差)
A11	逆向型	[0,400)	[400,600]	(600,+∞)
A12/%	正向型	(90,100]	[80,90]	(-∞,80)
A13/%	逆向型	[0,5)	[5,7]	(7,+∞)
A14/%	正向型	(50,+∞)	[35,50]	(-∞,35)
A15/%	逆向型	[0,10)	[10,25]	(25,+∞)
A21	正向型	(15,+∞)	[6,15]	(-∞,6)
A22/%	逆向型	[0,10)	[10,20]	(20,+∞)
B11	正向型	(6000,+∞)	[5000,6000]	(-∞,5000)
B12	区间型	(10,20)	[0,10]∪[20,25]	(-∞,10)∪(25,+∞)
B13	区间型	(6.5,11)	[3.2,6.5]∪[11,23]	(-∞,3.2)∪(23,+∞)
B14/%	正向型	(60,100]	[30,60]	(-∞,30)
B15/%	正向型	(70,100]	[40,70]	(-∞,40)
B21	正向型	(3,+∞)	[2.2~3]	(-∞,2.2)
B22/%	正向型	(40,+∞)	[20,40]	(-∞,20)
B23	正向型	(80,+∞)	[40~80]	(-∞,40)
B24	正向型	(1000,+∞)	[300~1000]	(-∞,300)
C11/%	正向型	(90,100]	[70,90]	(-∞,70)
C12	逆向型	[0,0.8)	[0.8,3]	(3,+∞)
C13/%	正向型	[98,100]	[96,98.5]	(-∞,96)
C21/%	正向型	(98,100]	[96.5,98]	(-∞,96.5)
C22/%	正向型	(60,+∞)	[30,60]	(-∞,30)
C23/%	正向型	(30,+∞)	[20,30]	(-∞,20)
C24/%	正向型	(10,+∞)	[0,10]	(-∞,0)
C31/%	正向型	(99,100]	[97,99]	(-∞,97)
C32/%	正向型	(85,100]	[60,85]	(-∞,60)
C41/%	正向型	(90,100]	[70,90]	(-∞,70)
C42/%	正向型	(50,100]	[15,50]	(-∞,15)

地区	X	Y	Z	评价等级
A	14.80	30.00	22.16	完全契合型
B	30.00	26.70	21.89	完全契合型
C	19.05	17.72	18.47	契合型
D	14.32	5.59	14.89	较不契合型
E	4.86	2.56	9.06	不契合型

地区	配网关键技术	X	Y	Z	评价等级
C	I.分布式光伏	12.72	21.73	23.84	完全契合型
	II.小水电微网	10.48	7.58	30.00	契合型
	III.分布式风电	17.97	10.53	24.82	较为契合型
D	I.分布式光伏	9.96	30.00	18.56	契合型
	II.小水电微网	7.42	2.16	25.22	较不契合型
	III.分布式风电	19.70	2.67	17.97	较不契合型