Influence Mechanism of Time-of-Use Electricity Prices on Industry Load Characteristics Based on Multi-dimensional Price Elasticity Coefficient Matrix

doi:10.11930/j.issn.1004-9649.202304028

Abstract

Abstract:

Based on the load curves of fixed user groups of various industries in 23 provinces, a multi-dimensional price elasticity coefficient is proposed to evaluate the impact of time-of-use electricity price adjustment on the peak and valley electricity consumption of various industries in various provinces, and the sensitivity of peak-valley power demand to multi-dimensional price indicators is analyzed. The multi-dimensional price elasticity coefficient was used to quantitatively evaluate the sensitivity of the three-dimensional power indicators of various industries in different regions, including reducing peak electricity, increasing valley electricity and reducing the load peak-valley difference rate, to the three-dimensional price indicators, including increasing the peak electricity price, reducing the valley electricity price and increasing the peak-to-valley electricity price ratio. The time-of-use electricity price optimization and adjustment strategies can be proposed for different regions, industries and time periods according to the analytical results of multi-dimensional price elasticity coefficient.

Key words: time-of-use electricity prices, price elasticity coefficient, load peak-to-valley difference, peak-to-valley power transfer, industry load

Wensheng TANG, Yang WANG, Yu ZHANG, Xiyang LIU, Qingkun TAN, Peng WU, Songsong CHEN, Jing YANG. Influence Mechanism of Time-of-Use Electricity Prices on Industry Load Characteristics Based on Multi-dimensional Price Elasticity Coefficient Matrix[J]. Electric Power, 2024, 57(2): 202-211.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202304028

https://www.electricpower.com.cn/EN/Y2024/V57/I2/202

Figures/Tables 7

References 21

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省（区）	峰谷差率减小率 Y₁	峰段电量转移率 Y₂	谷段电量填充率 Y₃	峰谷电量转移率 Y₄
浙江	–0.67	–0.70	0.76	1.46
湖南	–3.01	–0.47	0.83	1.30
甘肃	–2.54	–3.67	1.99	5.66
宁夏	–2.83	–0.08	–1.28	–1.20

省（区）	峰谷差率减小率 Y₁	峰段电量转移率 Y₂	谷段电量填充率 Y₃	峰谷电量转移率 Y₄
浙江	–0.67	–0.70	0.76	1.46
湖南	–3.01	–0.47	0.83	1.30
甘肃	–2.54	–3.67	1.99	5.66
宁夏	–2.83	–0.08	–1.28	–1.20

地区	峰谷差率减小率 Y₁	峰段电量转移率 Y₂	谷段电量填充率 Y₃	峰谷电量转移率 Y₄
四川	–4.97	–2.29	2.28	4.57
新疆	–4.14	–0.04	0.61	0.65
陕西	–3.31	–0.32	1.20	1.52
浙江	–3.26	–1.34	1.61	2.96
重庆	–3.13	–2.53	4.66	7.19
吉林	–3.04	–0.65	0.74	1.40
冀北	–3.02	–1.00	0.51	1.51
湖北	–3.02	–1.11	1.39	2.50
安徽	–3.01	–0.79	0.34	1.13
河南	–2.88	–2.04	2.60	4.64
蒙东	–2.37	–0.67	0.93	1.60
天津	–2.16	1.47	2.04	0.57
福建	–1.50	–0.72	–0.95	–0.23
江西	–1.45	–0.52	0.22	–0.74
青海	–1.34	–2.92	1.56	4.48
江苏	–0.73	–0.35	–0.10	–0.25
湖南	–0.61	–1.41	0.07	1.48
甘肃	0.83	–0.94	0.92	1.86

地区	峰谷差率减小率 Y₁	峰段电量转移率 Y₂	谷段电量填充率 Y₃	峰谷电量转移率 Y₄
四川	–4.97	–2.29	2.28	4.57
新疆	–4.14	–0.04	0.61	0.65
陕西	–3.31	–0.32	1.20	1.52
浙江	–3.26	–1.34	1.61	2.96
重庆	–3.13	–2.53	4.66	7.19
吉林	–3.04	–0.65	0.74	1.40
冀北	–3.02	–1.00	0.51	1.51
湖北	–3.02	–1.11	1.39	2.50
安徽	–3.01	–0.79	0.34	1.13
河南	–2.88	–2.04	2.60	4.64
蒙东	–2.37	–0.67	0.93	1.60
天津	–2.16	1.47	2.04	0.57
福建	–1.50	–0.72	–0.95	–0.23
江西	–1.45	–0.52	0.22	–0.74
青海	–1.34	–2.92	1.56	4.48
江苏	–0.73	–0.35	–0.10	–0.25
湖南	–0.61	–1.41	0.07	1.48
甘肃	0.83	–0.94	0.92	1.86

地区	峰谷差率减小率 Y₁	峰段电量转移率 Y₂	谷段电量填充率 Y₃	峰谷电量转移率 Y₄
安徽	–5.40	–1.73	5.02	6.75
天津	–4.71	–1.29	5.25	6.54
江苏	–3.73	–2.58	8.31	10.89
青海	–3.72	1.21	0.81	–0.39
吉林	–3.32	–1.73	4.22	5.94
冀北	–3.30	–0.70	1.50	2.19
福建	–3.29	–0.08	0.70	0.78
河南	–3.20	–1.07	3.93	5.00
重庆	–2.87	–4.59	–5.88	–1.29
浙江	–2.40	–2.39	3.43	5.82
新疆	–2.31	–0.09	0.48	0.57
江西	–2.28	–0.23	0.25	0.48
蒙东	–2.27	–0.65	0.15	0.80
四川	–2.22	–1.56	2.14	3.70
湖南	–1.57	–1.14	0.30	1.44
甘肃	–1.32	–3.03	–2.48	0.55
湖北	–0.68	–0.69	0.01	0.69
陕西	–0.18	–0.47	0.81	1.28