Comprehensive benefit evaluation for Energy Internet park projects based on combined weight of game

doi:10.3969/j.issn.2097-0706.2023.11.009

Abstract

Abstract:

With the energy revolution，the proposal of the "Internet +" strategy， and the growing of renewable energy，Energy Internet，as a new energy application format，has gradually become an driver for energy transformation. To measure the comprehensive benefit of an Energy Internet park project，an evaluation model is constructed. A comprehensive benefit evaluation system for an Energy Internet park project covers four dimensions， economic benefit，social benefit，environmental benefit，and promotional value. Then， the comprehensive weights for the indicators are obtained by balancing the subjective and objective weights generated by Entropy Weight Method（EWM）and Bayesian Best and Worst Method（BBWM）with game theory. The comprehensive weights reflect all data and indicators mentioned. The comprehensive benefit evaluation model for Energy Internet park projects based on Measurement Alternatives and Ranking according to the Compromise Solution（MARCOS） is constructed. Taking a comprehensive benefit evaluation system for a microgrid in Beijing as the example，it is found that the clean energy consumption rate， payback period，and power supply reliability are three key indicators that affect the annual comprehensive benefit of the project. Finally，the robustness of the proposed model is demonstrated through sensitivity analysis and ranking consistency testing.

Key words: new power system, Energy Internet, comprehensive benefit, combined weight of game theory, MARCOS, Bayesian Best and Worst Method

CLC Number:

TK01⁺8:TM73:F224

SHEN Rongrong, JIANG Feng, WEI Zequan, LIU Shimin, QI Ze. Comprehensive benefit evaluation for Energy Internet park projects based on combined weight of game[J]. Integrated Intelligent Energy, 2023, 45(11): 70-81.

Figures/Tables 14

Fig.1

Fig.2

Table 1

Table 2

Table 3

Table 4

Table 5

Fig.3

Table 6

Comprehensive benefit evaluation results

年份	$f K i +$	$f K i -$	效用函数值 $f K i$	排序
第5年	0.484 7	0.515 3	0.028 5	1
第4年	0.489 3	0.510 7	0.025 6	2
第3年	0.504 2	0.495 8	0.022 8	5
第2年	0.507 3	0.492 7	0.023 3	4
第1年	0.486 1	0.513 9	0.025 4	3

Table 6

Fig.4

Table 7

Fig.5

Table 8

Table 9

Consistency of the models

一致性指标	模型1	模型2	模型3
$r s$	1.000 0	0.800 0	0.900 0
$r w$	1.000 0	0.770 0	0.900 0
$W S$	1.000 0	0.760 0	0.875 0

Table 9

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二级指标	信息熵	熵权	排序
建设投资成本O11	0.999 4	0.028 6	11
投资回收期O12	0.997 6	0.114 6	4
运维管理成本O13	0.997 3	0.129 8	3
运营效益O14	0.998 8	0.057 7	7
用户满意度O21	0.999 6	0.018 5	14
智能电表普及度O22	0.999 0	0.048 8	9
供电可靠性O23	0.997 1	0.137 9	2
单位用能成本O24	0.999 0	0.049 2	8
清洁能源比例O31	0.997 7	0.109 3	5
CO₂综合减排量O32	0.999 5	0.023 0	13
清洁能源消纳率O33	0.997 1	0.138 5	1
工程成熟度O41	0.999 2	0.038 3	10
项目可扩展性O42	0.999 4	0.027 3	12
传输容量O43	0.998 4	0.078 3	6

专家编号	最优指标	最劣指标
1	投资回收期O12	传输容量O43
2	清洁能源消纳率O33	智能电表普及度O22
3	项目可扩展性O42	智能电表普及度O22
4	运营收益O14	智能电表普及度O22
5	CO₂综合减排量O32	传输容量O43

指标	最优指标
指标	投资回收期O12	清洁能源消纳率O33	项目可扩展性O42	运营收益O14	CO₂综合减排量O32
O11	3	3	4	2	3
O12	1	2	3	2	2
O13	2	2	4	3	2
O14	3	3	4	1	2
O21	4	4	6	3	3
O22	6	8	9	7	6
O23	3	3	3	2	3
O24	3	3	3	2	3
O31	4	5	3	4	3
O32	4	3	4	6	1
O33	3	1	2	3	2
O41	6	5	3	4	5
O42	5	6	1	4	6
O43	7	6	5	4	7

指标	最劣指标
指标	传输容量O43	智能电表普及度O22	智能电表普及度O22	智能电表普及度O22	传输容量O43
O11	7	6	7	6	6
O12	7	7	7	6	7
O13	6	5	7	5	7
O14	6	6	6	7	6
O21	5	5	7	6	7
O22	2	1	1	1	3
O23	6	7	6	6	6
O24	5	6	7	6	7
O31	6	5	6	6	5
O32	5	6	5	6	7
O33	6	8	7	7	6
O41	3	4	5	6	4
O42	2	4	9	5	3
O43	1	3	2	4	1

一级指标	综合权重	二级指标	主观权重	客观权重	综合权重	排序
经济效益O1	0.342 6	建设投资成本O11	0.083 3	0.028 6	0.069 1	8
		投资回收期O12	0.095 7	0.114 6	0.100 6	2
		运维管理成本O13	0.082 9	0.129 8	0.095 1	4
		运营效益O14	0.084 8	0.057 7	0.077 8	6
社会效益O2	0.264 5	用户满意度O21	0.071 3	0.018 5	0.057 6	10
		智能电表普及度O22	0.031 0	0.048 8	0.035 6	14
		供电可靠性O23	0.082 9	0.137 9	0.097 2	3
		单位用能成本O24	0.082 8	0.049 2	0.074 1	7
环境效益O3	0.245 1	清洁能源比例O31	0.069 4	0.109 3	0.079 7	5
		CO₂综合减排量O32	0.072 6	0.023 0	0.059 7	9
		清洁能源消纳率O33	0.094 1	0.138 5	0.105 6	1
工程推广效益O4	0.147 8	工程成熟度O41	0.055 1	0.038 3	0.050 7	11
		项目可扩展性O42	0.056 5	0.027 3	0.048 9	12
		传输容量O43	0.037 5	0.078 3	0.048 1	13