Power Generation Technology ›› 2025, Vol. 46 ›› Issue (2): 399-408.DOI: 10.12096/j.2096-4528.pgt.23142
• Novel Power System • Previous Articles
Yang ZHENG1, Yucheng REN2, Yuwei WANG1, Dingji XU1, Huimin YANG3
Received:
2024-03-07
Revised:
2024-05-10
Published:
2025-04-30
Online:
2025-04-23
Supported by:
CLC Number:
Yang ZHENG, Yucheng REN, Yuwei WANG, Dingji XU, Huimin YANG. Evaluation of Comprehensive Benefits of Electric Energy Substitution in Regional Power Grids Based on Improved Cloud Model[J]. Power Generation Technology, 2025, 46(2): 399-408.
主要维度 | 一级指标 | 二级指标 |
---|---|---|
供给侧效益A | 清洁能源参与发电调度A1 | 清洁能源发电占比A11 |
清洁能源发电量增长率A12 | ||
跨省跨区电能替代A2 | 清洁电外送电量占比A21 | |
清洁电外送电量增长率A22 | ||
电力辅助服务A3 | 新能源参与调峰电量占比A31 | |
新能源参与调峰电量增长率A32 | ||
需求侧效益B | 以电代气B1 | 电采暖取代燃气取暖电量增长率B11 |
电锅炉取代燃气锅炉电量增长率B12 | ||
以电代油B2 | 电动汽车增长率B21 | |
岸电增长率B22 | ||
机井通电增长率B23 | ||
清洁能源B3 | 清洁能源取代燃气取暖电量增长率B31 | |
清洁能源取代燃气锅炉电量增长率B32 | ||
环境减排效益C | 发电侧减排C1 | 新能源并网投资比例C11 |
单位储能资产最大负荷供应能力C12 | ||
输配电减排C2 | 低碳电力调度比例C21 | |
电压合格率改善比率C22 | ||
六氟化硫减排比率C23 | ||
用电侧减排C3 | 充电站电力消耗增长率C31 | |
分布式电源电量增长率C32 | ||
需求侧总节约电量增长率C33 |
Tab.1 Comprehensive benefit indicators of electric energy substitution in regional power grids
主要维度 | 一级指标 | 二级指标 |
---|---|---|
供给侧效益A | 清洁能源参与发电调度A1 | 清洁能源发电占比A11 |
清洁能源发电量增长率A12 | ||
跨省跨区电能替代A2 | 清洁电外送电量占比A21 | |
清洁电外送电量增长率A22 | ||
电力辅助服务A3 | 新能源参与调峰电量占比A31 | |
新能源参与调峰电量增长率A32 | ||
需求侧效益B | 以电代气B1 | 电采暖取代燃气取暖电量增长率B11 |
电锅炉取代燃气锅炉电量增长率B12 | ||
以电代油B2 | 电动汽车增长率B21 | |
岸电增长率B22 | ||
机井通电增长率B23 | ||
清洁能源B3 | 清洁能源取代燃气取暖电量增长率B31 | |
清洁能源取代燃气锅炉电量增长率B32 | ||
环境减排效益C | 发电侧减排C1 | 新能源并网投资比例C11 |
单位储能资产最大负荷供应能力C12 | ||
输配电减排C2 | 低碳电力调度比例C21 | |
电压合格率改善比率C22 | ||
六氟化硫减排比率C23 | ||
用电侧减排C3 | 充电站电力消耗增长率C31 | |
分布式电源电量增长率C32 | ||
需求侧总节约电量增长率C33 |
指标 | 模式1 | 模式2 | 模式3 | ||||||
---|---|---|---|---|---|---|---|---|---|
2019年 | 2020年 | 2021年 | 2019年 | 2020年 | 2021年 | 2019年 | 2020年 | 2021年 | |
A11 | 60.00 | 68.50 | 78.95 | 68.50 | 74.77 | 82.61 | 77.58 | 89.98 | 100.00 |
A12 | 67.58 | 60.00 | 79.18 | 100.00 | 83.65 | 69.77 | 64.07 | 79.66 | 76.83 |
A21 | 73.18 | 60.00 | 79.34 | 60.00 | 68.68 | 74.01 | 80.11 | 97.21 | 100.00 |
A22 | 60.00 | 78.30 | 83.55 | 98.41 | 100.00 | 93.12 | 78.10 | 82.18 | 83.55 |
A31 | 96.60 | 90.80 | 100.0o | 62.75 | 60.00 | 70.22 | 72.25 | 76.76 | 80.56 |
A32 | 60.00 | 100.00 | 77.11 | 69.95 | 7.61 | 99.00 | 90.05 | 98.81 | 81.19 |
B11 | 75.93 | 82.29 | 100.00 | 60.00 | 62.75 | 65.73 | 87.34 | 93.30 | 99.37 |
B12 | 60.00 | 66.17 | 72.17 | 87.99 | 94.65 | 76.70 | 75.83 | 82.54 | 100.00 |
B21 | 76.70 | 86.76 | 99.94 | 72.53 | 89.74 | 100.00 | 60.00 | 67.48 | 74.23 |
B22 | 97.66 | 100.0o | 85.73 | 74.04 | 76.61 | 83.74 | 62.46 | 71.35 | 60.00 |
B23 | 85.42 | 94.46 | 74.46 | 64.94 | 70.36 | 60.00 | 89.28 | 95.18 | 100.00 |
B31 | 78.90 | 87.80 | 100.00 | 60.00 | 65.90 | 65.40 | 69.80 | 79.80 | 87.80 |
B32 | 60.00 | 66.59 | 77.35 | 89.10 | 95.24 | 100.00 | 64.31 | 71.55 | 77.25 |
C11 | 60.00 | 67.57 | 82.44 | 72.45 | 86.48 | 100.00 | 80.59 | 83.17 | 91.14 |
C12 | 84.14 | 100.00 | 79.86 | 60.00 | 64.84 | 71.89 | 88.54 | 68.29 | 60.36 |
C21 | 90.30 | 78.42 | 92.70 | 60.00 | 69.92 | 85.40 | 91.72 | 100.00 | 80.82 |
C22 | 60.00 | 73.25 | 70.48 | 86.27 | 99.64 | 75.66 | 100.00 | 86.27 | 63.86 |
C23 | 100.00 | 67.54 | 99.69 | 65.91 | 72.63 | 77.12 | 60.00 | 69.55 | 73.70 |
C31 | 90.14 | 93.80 | 100.00 | 60.00 | 63.68 | 72.85 | 75.68 | 82.47 | 88.61 |
C32 | 87.97 | 66.25 | 60.00 | 93.75 | 100.00 | 81.49 | 65.67 | 65.04 | 60.52 |
C33 | 100.00 | 96.54 | 68.86 | 86.02 | 87.68 | 84.22 | 81.87 | 72.32 | 60.00 |
Tab. 2 Standardized data
指标 | 模式1 | 模式2 | 模式3 | ||||||
---|---|---|---|---|---|---|---|---|---|
2019年 | 2020年 | 2021年 | 2019年 | 2020年 | 2021年 | 2019年 | 2020年 | 2021年 | |
A11 | 60.00 | 68.50 | 78.95 | 68.50 | 74.77 | 82.61 | 77.58 | 89.98 | 100.00 |
A12 | 67.58 | 60.00 | 79.18 | 100.00 | 83.65 | 69.77 | 64.07 | 79.66 | 76.83 |
A21 | 73.18 | 60.00 | 79.34 | 60.00 | 68.68 | 74.01 | 80.11 | 97.21 | 100.00 |
A22 | 60.00 | 78.30 | 83.55 | 98.41 | 100.00 | 93.12 | 78.10 | 82.18 | 83.55 |
A31 | 96.60 | 90.80 | 100.0o | 62.75 | 60.00 | 70.22 | 72.25 | 76.76 | 80.56 |
A32 | 60.00 | 100.00 | 77.11 | 69.95 | 7.61 | 99.00 | 90.05 | 98.81 | 81.19 |
B11 | 75.93 | 82.29 | 100.00 | 60.00 | 62.75 | 65.73 | 87.34 | 93.30 | 99.37 |
B12 | 60.00 | 66.17 | 72.17 | 87.99 | 94.65 | 76.70 | 75.83 | 82.54 | 100.00 |
B21 | 76.70 | 86.76 | 99.94 | 72.53 | 89.74 | 100.00 | 60.00 | 67.48 | 74.23 |
B22 | 97.66 | 100.0o | 85.73 | 74.04 | 76.61 | 83.74 | 62.46 | 71.35 | 60.00 |
B23 | 85.42 | 94.46 | 74.46 | 64.94 | 70.36 | 60.00 | 89.28 | 95.18 | 100.00 |
B31 | 78.90 | 87.80 | 100.00 | 60.00 | 65.90 | 65.40 | 69.80 | 79.80 | 87.80 |
B32 | 60.00 | 66.59 | 77.35 | 89.10 | 95.24 | 100.00 | 64.31 | 71.55 | 77.25 |
C11 | 60.00 | 67.57 | 82.44 | 72.45 | 86.48 | 100.00 | 80.59 | 83.17 | 91.14 |
C12 | 84.14 | 100.00 | 79.86 | 60.00 | 64.84 | 71.89 | 88.54 | 68.29 | 60.36 |
C21 | 90.30 | 78.42 | 92.70 | 60.00 | 69.92 | 85.40 | 91.72 | 100.00 | 80.82 |
C22 | 60.00 | 73.25 | 70.48 | 86.27 | 99.64 | 75.66 | 100.00 | 86.27 | 63.86 |
C23 | 100.00 | 67.54 | 99.69 | 65.91 | 72.63 | 77.12 | 60.00 | 69.55 | 73.70 |
C31 | 90.14 | 93.80 | 100.00 | 60.00 | 63.68 | 72.85 | 75.68 | 82.47 | 88.61 |
C32 | 87.97 | 66.25 | 60.00 | 93.75 | 100.00 | 81.49 | 65.67 | 65.04 | 60.52 |
C33 | 100.00 | 96.54 | 68.86 | 86.02 | 87.68 | 84.22 | 81.87 | 72.32 | 60.00 |
指标 | 权重值 | 指标 | 权重值 |
---|---|---|---|
A11 | 0.037 | B31 | 0.024 |
A12 | 0.043 | B32 | 0.053 |
A21 | 0.075 | C11 | 0.033 |
A22 | 0.116 | C12 | 0.031 |
A31 | 0.063 | C21 | 0.029 |
A32 | 0.023 | C22 | 0.077 |
B11 | 0.036 | C23 | 0.063 |
B12 | 0.033 | C31 | 0.069 |
B21 | 0.051 | C32 | 0.038 |
B22 | 0.036 | C33 | 0.030 |
B23 | 0.038 |
Tab. 3 Comprehensive weight based on entropy weight‑rank correlation method
指标 | 权重值 | 指标 | 权重值 |
---|---|---|---|
A11 | 0.037 | B31 | 0.024 |
A12 | 0.043 | B32 | 0.053 |
A21 | 0.075 | C11 | 0.033 |
A22 | 0.116 | C12 | 0.031 |
A31 | 0.063 | C21 | 0.029 |
A32 | 0.023 | C22 | 0.077 |
B11 | 0.036 | C23 | 0.063 |
B12 | 0.033 | C31 | 0.069 |
B21 | 0.051 | C32 | 0.038 |
B22 | 0.036 | C33 | 0.030 |
B23 | 0.038 |
等级区间 | [90, 100] | [80, 90) | [70, 80) | [60, 70) | <60 |
---|---|---|---|---|---|
等级 | 优秀 | 良好 | 一般 | 较低 | 差 |
Tab. 4 Evaluation grade classification
等级区间 | [90, 100] | [80, 90) | [70, 80) | [60, 70) | <60 |
---|---|---|---|---|---|
等级 | 优秀 | 良好 | 一般 | 较低 | 差 |
一级指标 | 一级指标特征值 | 二级指标 | 二级指标特征值 | |||||
---|---|---|---|---|---|---|---|---|
Ex | En | He | Ex | En | He | |||
A1 | 91.50 | 0.31 | 0.10 | A11 | 92.80 | 0.27 | 0.10 | |
A12 | 88.30 | 0.33 | 0.10 | |||||
A2 | 87.30 | 0.36 | 0.19 | A21 | 89.50 | 0.40 | 0.20 | |
A22 | 84.52 | 0.43 | 0.21 | |||||
A3 | 89.50 | 0.54 | 0.21 | A31 | 90.50 | 0.53 | 0.25 | |
A32 | 91.80 | 0.67 | 0.30 | |||||
B1 | 84.30 | 0.27 | 0.10 | B11 | 85.20 | 0.33 | 0.10 | |
B12 | 86.20 | 0.33 | 0.10 | |||||
B2 | 80.60 | 0.33 | 0.10 | B21 | 86.50 | 0.23 | 0.10 | |
B22 | 83.72 | 0.33 | 0.10 | |||||
B23 | 81.66 | 0.23 | 0.10 | |||||
B3 | 85.20 | 0.41 | 0.15 | B31 | 85.30 | 0.67 | 0.30 | |
B32 | 87.85 | 0.33 | 0.10 | |||||
C1 | 87.80 | 0.33 | 0.10 | C11 | 89.00 | 0.33 | 0.10 | |
C12 | 86.50 | 0.33 | 0.10 | |||||
C2 | 86.40 | 0.27 | 0.12 | C21 | 84.00 | 0.27 | 0.14 | |
C22 | 86.83 | 0.30 | 0.13 | |||||
C23 | 87.20 | 0.27 | 0.13 | |||||
C3 | 93.32 | 0.33 | 0.10 | C31 | 94.50 | 0.33 | 0.10 | |
C32 | 95.80 | 0.33 | 0.10 | |||||
C33 | 91.70 | 0.33 | 0.10 |
Tab. 5 Characteristic values of primary andsecondary indicators
一级指标 | 一级指标特征值 | 二级指标 | 二级指标特征值 | |||||
---|---|---|---|---|---|---|---|---|
Ex | En | He | Ex | En | He | |||
A1 | 91.50 | 0.31 | 0.10 | A11 | 92.80 | 0.27 | 0.10 | |
A12 | 88.30 | 0.33 | 0.10 | |||||
A2 | 87.30 | 0.36 | 0.19 | A21 | 89.50 | 0.40 | 0.20 | |
A22 | 84.52 | 0.43 | 0.21 | |||||
A3 | 89.50 | 0.54 | 0.21 | A31 | 90.50 | 0.53 | 0.25 | |
A32 | 91.80 | 0.67 | 0.30 | |||||
B1 | 84.30 | 0.27 | 0.10 | B11 | 85.20 | 0.33 | 0.10 | |
B12 | 86.20 | 0.33 | 0.10 | |||||
B2 | 80.60 | 0.33 | 0.10 | B21 | 86.50 | 0.23 | 0.10 | |
B22 | 83.72 | 0.33 | 0.10 | |||||
B23 | 81.66 | 0.23 | 0.10 | |||||
B3 | 85.20 | 0.41 | 0.15 | B31 | 85.30 | 0.67 | 0.30 | |
B32 | 87.85 | 0.33 | 0.10 | |||||
C1 | 87.80 | 0.33 | 0.10 | C11 | 89.00 | 0.33 | 0.10 | |
C12 | 86.50 | 0.33 | 0.10 | |||||
C2 | 86.40 | 0.27 | 0.12 | C21 | 84.00 | 0.27 | 0.14 | |
C22 | 86.83 | 0.30 | 0.13 | |||||
C23 | 87.20 | 0.27 | 0.13 | |||||
C3 | 93.32 | 0.33 | 0.10 | C31 | 94.50 | 0.33 | 0.10 | |
C32 | 95.80 | 0.33 | 0.10 | |||||
C33 | 91.70 | 0.33 | 0.10 |
项目 | Ex | En | He | |
---|---|---|---|---|
云图指标 | 87.52 | 0.22 | 0.11 | |
主要维度 | 供给侧效益 | 82.50 | 0.20 | 0.10 |
需求侧效益 | 86.80 | 0.22 | 0.14 | |
环境减排效益 | 92.50 | 0.24 | 0.10 |
Tab. 6 Comprehensive cloud map and characteristic values of main dimensions
项目 | Ex | En | He | |
---|---|---|---|---|
云图指标 | 87.52 | 0.22 | 0.11 | |
主要维度 | 供给侧效益 | 82.50 | 0.20 | 0.10 |
需求侧效益 | 86.80 | 0.22 | 0.14 | |
环境减排效益 | 92.50 | 0.24 | 0.10 |
1 | 汲国强,吴姗姗,谭显东,等 .2021年我国电力供需形势分析及展望[J].发电技术,2021,42(5):568-575. doi:10.12096/j.2096-4528.pgt.21103 |
JI G Q, WU S S, TAN X D,et al .Analysis and prospect of China’s power supply and demand situation in 2021[J].Power Generation Technology,2021,42(5):568-575. doi:10.12096/j.2096-4528.pgt.21103 | |
2 | 周勤勇,李根兆,秦晓辉,等 .能源革命下的电力系统范式转换分析[J].中国电力,2024,57(3):1-11. |
ZHOU Q Y, LI G Z, QIN X H,et al .Analysis of power system paradigm shift under energy revolution[J].Electric Power,2024,57(3):1-11. | |
3 | 杨毅,易文飞,王晨清,等 .基于碳流追踪的电力系统源网荷低碳经济调度[J].电力建设,2023,44(5):108-119. |
YANG Y, YI W F, WANG C Q,et al .Low-carbon and economic optimal scheduling of power system source-grid-load based on carbon flow tracing method[J].Electric Power Construction,2023,44(5):108-119. | |
4 | 辛保安,周原冰,肖晋宇,等 .全球电力发展指数研究[J].全球能源互联网,2024,7(6):613-626. |
XIN B A, ZHOU Y B, XIAO J Y,et al .Research on global electricity development index[J].Journal of Global Energy Interconnection,2024,7(6):613-626. | |
5 | 李立新,周宇昊,郑文广 .能源转型背景下分布式能源技术发展前景[J].发电技术,2020,41(6):571-577. |
LI L X, ZHOU Y H, ZHENG W G .Development prospect of distributed energy technology under the background of energy transformation[J].Power Generation Technology,2020,41(6):571-577. | |
6 | 刘可真,王骞,赵明,等 .基于多方合作博弈及梯级化的电能替代效益分析[J].电网技术,2020,44(2):711-718. |
LIU K Z, WANG Q, ZHAO M,et al .Benefit analysis of electric energy substitution based on multi-player cooperative game and cascade model[J].Power System Technology,2020,44(2):711-718. | |
7 | 冷喜武,刘闯,何蕾,等 .可调节负荷并网运行标准研究与应用[J].发电技术,2022,43(6):834-842. doi:10.12096/j.2096-4528.pgt.22067 |
LENG X W, LIU C, HE L,et al .Research and application of grid-connected operation standard for adjustable load[J].Power Generation Technology,2022,43(6):834-842. doi:10.12096/j.2096-4528.pgt.22067 | |
8 | 祁毓,林佳颖,郑家宝 .支持绿色低碳发展的财政政策研究:逻辑阐释、现实挑战及路径优化[J].财政科学,2023(7):63-73. |
QI Y, LIN J Y, ZHENG J B .Research on fiscal policies to support green and low-carbon development:logical interpretation,real challenges and path optimization[J].Fiscal Science,2023(7):63-73. | |
9 | 韩哲鹏,张笛 .基于动态贝叶斯网络的船舶电力推进系统可靠性评估[J].船舶工程,2021,43(11):118-124. |
HAN Z P, ZHANG D .Reliability evaluation of ship electric propulsion system based on dynamic Bayesian network[J].Ship Engineering,2021,43(11):118-124. | |
10 | 刘文飞,曾嘉志,潘海涛,等 .计及电力安全事故风险的输电网可靠性评估[J].电力系统及其自动化学报,2018,30(8):126-132. |
LIU W F, ZENG J Z, PAN H T,et al .Evaluation on the reliability of power transmission network considering risk of electric power safety accidents[J].Proceedings of the CSU-EPSA,2018,30(8):126-132. | |
11 | 吕思佳,罗岚 .中国城市低碳发展质量评价及障碍分析[J].科技和产业,2022,22(9):106-114. |
LYU S J, LUO L .Low-carbon development quality of cities in China:evaluation and obstacle analysis[J].Science Technology and Industry,2022,22(9):106-114. | |
12 | 张红斌,冯明灿,孙钦斐,等 .基于主成分分析法的煤改电综合效益评价模型研究[J].电测与仪表,2023,60(11):99-104. |
ZHANG H B, FENG M C, SUN Q F,et al .Research on comprehensive benefit evaluation model of coal-to-electricity based on principal component analysis[J].Electrical Measurement & Instrumentation,2023,60(11):99-104. | |
13 | 陈星彤,张宁,王轶楠,等 .基于混合赋权和MARCOS模型的低碳园区综合效益评价研究[J].智慧电力,2024,52(5):23-30. |
CHEN X T, ZHANG N, WANG Y N,et al .Comprehensive benefit evaluation of low-carbon industrial parks based on combination weighting and MARCOS model[J].Smart Power,2024,52(5):23-30. | |
14 | 吴珊,边晓燕,张菁娴,等 .面向新型电力系统灵活性提升的国内外辅助服务市场研究综述[J].电工技术学报,2023,38(6):1662-1677. |
WU S, BIAN X Y, ZHANG J X,et al .A review of domestic and foreign ancillary services market for improving flexibility of new power system[J].Transactions of China Electrotechnical Society,2023,38(6):1662-1677. | |
15 | 沈豫,韩钟宽,曾振松,等 .基于改进WCVaR的电力系统低碳经济调度[J].电力科学与技术学报,2024,39(5):102-111. |
SHEN Y, HAN Z K, ZENG Z S,et al .Low-carbon economic dispatching of power systems based on fuzzy WCVaR[J].Journal of Electric Power Science and Technology,2024,39(5):102-111. | |
16 | 郝伟韬,蔡国田,卢俊曈,等 .源网荷储互动减碳研究综述[J].广东电力,2023,36(11):64-74. |
HAO W T, CAI G T, LU J T,et al .Review of source-grid-load-storage interactive carbon reduction research[J].Guangdong Electric Power,2023,36(11):64-74. | |
17 | 刘俊峰 .基于电力系统光传输网络优化改造的分析[J].通讯世界,2017,24(6):197-198. |
LIU J F .Analysis of optical transmission network optimization and transformation based on power system[J].Telecom World,2017,24(6):197-198. | |
18 | 林芝羽,李华强,苏韵掣,等 .计及灵活性承载度的电网评估与扩展规划方法[J].电力系统保护与控制,2021,49(5):46-57. |
LIN Z Y, LI H Q, SU Y C,et al .Evaluation and expansion planning method of a power system considering flexible carrying capacity[J].Power System Protection and Control,2021,49(5):46-57. | |
19 | 李军,笪耀东,刘雪敏,等 .我国锅炉装备绿色低碳发展路径研究[J].中国工程科学,2022,24(4):212-221. doi:10.15302/j-sscae-2022.04.021 |
LI J, DA Y D, LIU X M,et al .Green and low-carbon development path of boiler equipment in China[J].Strategic Study of CAE,2022,24(4):212-221. doi:10.15302/j-sscae-2022.04.021 | |
20 | 苗芳 .加速推进碳达峰碳中和标准计量体系建设助力东北绿色能源低碳发展[J].智慧中国,2022(7):32-33. |
MIAO F .Accelerate the construction of carbon neutral standard measurement system in peak carbon dioxide emissions to help the low-carbon development of green energy in Northeast China[J].Wisdom China,2022(7):32-33. | |
21 | 刘宇航,陈致远,戈君,等 .新型电力系统下的源-网-荷-储能协调优化模型研究[J].能源与环保,2023,45(2):221-226. |
LIU Y H, CHEN Z Y, GE J,et al .Research on source-grid-load-energy storage coordination optimization model under new power system[J].China Energy and Environmental Protection,2023,45(2):221-226. | |
22 | 李建林,郭兆东,马速良,等 .新型电力系统下“源网荷储”架构与评估体系综述[J].高电压技术,2022,48(11):4330-4342. |
LI J L, GUO Z D, MA S L,et al .Overview of the “source-grid-load-storage” architecture and evaluation system under the new power system[J].High Voltage Engineering,2022,48(11):4330-4342. | |
23 | 王绪利,潘东,施天成,等 .新型电力系统背景下源网荷储一体化项目友好性评估方法[J].电网与清洁能源,2024,40(1):72-82. |
WANG X L, PAN D, SHI T C,et al .A friendliness evaluation method for the source-network-load-storage integration project under the background of new power system[J].Power System and Clean Energy,2024,40(1):72-82. | |
24 | 邓红雷,周晨,夏桥 .基于综合赋权法和模糊层次分析法的输电线路异物挂线故障率模型[J].电气自动化,2019,41(4):30-32. |
DENG H L, ZHOU C, XIA Q .Model of failure rate of hanging up foreign matter for power transmission lines based on composite weighting method and fussy analytic hierarchy process[J].Electrical Automation,2019,41(4):30-32. | |
25 | 谢瀚阳,江疆,彭泽武,等 .基于熵权法的智能电网管理水平评价指标量化方法[J].微型电脑应用,2022,38(7):69-72. |
XIE H Y, JIANG J, PENG Z W,et al .Quantitative method of evaluation index of smart grid management level based on entropy weight method[J].Microcomputer Applications,2022,38(7):69-72. | |
26 | 马伟哲,陈洪云 .基于深度学习的配电网故障风险及状态检修[J].电力电容器与无功补偿,2022,43(1):87-94. |
MA W Z, CHEN H Y .Fault risk and condition maintenance of distribution network based on deep learning[J].Power Capacitor & Reactive Power Compensation,2022,43(1):87-94. | |
27 | 张杰,薛太林,解张超,等 .基于改进AHP法和改进熵权法结合的组合电量预测模型[J].电气自动化,2022,44(6):28-31. |
ZHANG J, XUE T L, XIE Z C,et al .Combined electric quantity forecasting model based on the combinationof improved AHP method and improved entropy weight method[J].Electrical Automation,2022,44(6):28-31. | |
28 | 钱啸,章姝俊,陈楚楚,等 .多应用场景下基于云模型直觉模糊层次分析法的储能技术综合评估方法[J].电工电能新技术,2022,41(9):68-80. |
QIAN X, ZHANG S J, CHEN C C,et al .Comprehensive evaluation method of energy storage technology based on cloud model intuitionistic fuzzy analytic hierarchy process in multiple application scenarios[J].Advanced Technology of Electrical Engineering and Energy,2022,41(9):68-80. | |
29 | 曾鸣,潘婷,贺薪颖,等 .基于贝叶斯反馈修正云模型的虚拟电厂运营风险综合评价方法[J].现代电力,2023,40(5):715-723. |
ZENG M, PAN T, HE X Y,et al .A comprehensive evaluation method for operational risk of virtual power plants based on Bayesian feedback modified cloud model[J].Modern Electric Power,2023,40(5):715-723. |
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