Differentiated Allocation Model of Renewable Energy Green Certificates for New-Type Power System

doi:10.16183/j.cnki.jsjtu.2022.150

Abstract

Abstract:

In order to achieve China’s “30·60” decarbonization goal, the green and low-carbon transformation of the energy system is the fundamental support; the construction of new-type power system is the key step, and the green certificate is the important voucher to reflect the green value of renewable energy. Currently, the distribution mechanism of green certificates in China is oversimplified, which neither effectively measures the variability of green values generated by different types of renewable energy, nor balances the coordinated development of renewable energy. Therefore, to differentiate the exchange mechanism of green certificates by different types of renewable energy power in this paper, an evaluation index system is established, which describes the difference between green certificates, considering the comprehensive value of renewable energy, and an evaluation model is built with the criteria importance by using the intercriteria correlation (CRITIC) method, the entropy weight method, and the technique for order preference by similarity to an ideal solution (TOPSIS) method. Under the development scenario of peaking carbon emissions before 2030, the impact of the differentiated distribution model on the green incomes of centralized photovoltaic distributed photovoltaic power, onshore wind power, and offshore wind power is analyzed. Moreover, the development plan of renewable energy is modified in consideration of the effect of the differentiated distribution model, and policy suggestions on green certificates are proposed accordingly. The results show that the differentiated distribution model of green certificates is practical to provide corresponding decision-making support to the construction and improvement of green certificates trading mechanism in China.

Key words: new-type power system, renewable energy, difference between green certificates, criteria importance through intercriteria correlation (CRITIC)-entropy weight method, technique for order preference by similarity to an ideal solution (TOPSIS) method

CLC Number:

TM715
TM 732

ZHANG Shuo, LI Wei, LI Yingzi, LIU Qiang, ZENG Ming. Differentiated Allocation Model of Renewable Energy Green Certificates for New-Type Power System[J]. Journal of Shanghai Jiao Tong University, 2022, 56(12): 1561-1571.

Figures/Tables 15

Tab.1

Tab.2

Percentile scoring range

评分区间	评分区间数值	发展程度
t_s	$100 (o - 1) s$ ≤t_s< $100 o s$	s级
…	…	…
t₂	100/s≤t_s<200/s	二级
t₁	0≤t_s<100/s	一级

Tab.2

Tab.3

Fig.1

Fig.2

Tab.4

Tab.5

发电类型	p_ge	$p - g e$
集中式光伏	I类资源区为0.35,II类资源区为0.40,III类资源区为0.49	0.41
分布式光伏	0.46	0.46
陆上风电	I类资源区为0.29,II类资源区为0.34,III类资源区为0.38,IV类资源区为0.47	0.37
海上风电	近海为0.75,潮间带竞价确定	0.75

Tab.5

Tab.6

Tab.7

Fig.3

Tab.8

Tab.9

Fig.4

Fig.5

Fig.6

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一级指标	二级指标	指标特性
技术	能源开发成熟度/%	能源开发,正向
	合理建设周期/d	能源开发,负向
	能源转换效率/%	设施条件,正向
	能源利用效率/%	设施条件,正向
	装机容量平均增长量/%	设施条件,正向
经济	单位容量造价/(元·kW^-1)	运行成本,负向
	平准化度电成本/(元·kW^-1·h^-1)	运行成本,负向
	平均年投资额/元	运行成本,正向
	年带动就业人数/(人·MW^-1)	运行收益,正向
	上网电价/(元·kW^-1·h^-1)	运行收益,负向
资源	资源开发潜力/MW	能源潜力,正向
	电力季节性波动率/%	能源潜力,负向
	弃风、光率/%	能源潜力,负向
	可再生能源发电量占比/%	利用水平,正向
	可再生能源装机量占比/%	利用水平,正向
环境	供电降污排放量/t	降污成效,正向
	供电降碳排放量/t	降污成效,正向
	供电降废排放量/t	降污成效,正向
	供电节水量/t	保护成效,正向
	单位土地装机量/(kW·m^-3)	保护成效,正向

评分区间	发展程度	发展状态	绿证设定量/ (张·MW^-1·h^-1)
81~100	五级	成熟	1
61~80	四级	较成熟	2
41~60	三级	一般成熟	3
21~40	二级	较不成熟	4
0~20	一级	不成熟	5

发电类型	TOPSIS 评分	百分整数制转化/分	发展程度	兑换绿证量/ (张·MW^-1·h^-1)
集中式光伏	0.469 2	47	三级	3
分布式光伏	0.320 1	32	四级	4
陆上风电	0.679 8	68	二级	2
海上风电	0.298 5	30	四级	4

电网区域	p_coal
南方电网	0.400 2
国家电网	0.372 8
蒙西电网	0.282 9
煤电交易基准价平均值	0.352 0

发电类型	p_g	p_ge	p_c	p_coal	p_r
集中式光伏	0.529 5	0.41	0.939 5	0.352	0.587 5
分布式光伏	0.706	0.46	1.166	0.352	0.814
陆上风电	0.353	0.37	0.723	0.352	0.371
海上风电	0.706	0.75	1.456	0.352	1.104