Coordinated Trading Mode of Green Electricity and Green Certificates in Regional Common Markets

doi:10.12096/j.2096-4528.pgt.24202

Abstract

Abstract:

Objectives To promote the green electricity development path of Xinjiang’s power grid and facilitate a smooth transition of the electricity market towards a unified regional market, this study proposes a coordinated trading mode for green electricity and green certificates in a regional common market. Methods In electricity trading, the provincial markets are retained, where provincial grid companies organize electricity trading and use a non-cooperative game in the regional market to sell surplus electricity or purchase electricity from other provinces. In green certificate trading, the regional common market employs generalized Nash bargaining game to allocate the environmental value of green electricity. Results Case comparison and validation show that the proposed coordinated trading mode can reduce thermal power generation at both sending and receiving ends by an average of 38.33% and increase the renewable energy consumption rate by 83.2%. Conclusions The findings provide theoretical support for advancing the green electricity development path of Xinjiang’s power grid.

Key words: electricity market, renewable energy, green electricity, green certificate, synergy, transaction mode

CLC Number:

TK 01

Hailing ZHAO, Yongli YANG, Zhongming ZHANG, Tianfeng WANG, Yichen ZHANG, Xiaozhu LI. Coordinated Trading Mode of Green Electricity and Green Certificates in Regional Common Markets[J]. Power Generation Technology, 2025, 46(6): 1251-1259.

Figures/Tables 10

Fig. 1 Interconnection pattern of regional power grids in China

Fig. 2 Block diagram of green electricity trading mode in regional common markets

Fig. 3 Bi-level optimization framework for regional common markets

Tab. 1 Parameters of power plants in different provinces

省份	发电厂	c	b	$p m a x$
省1	G1	0.073	29.037	150
	R1	0.095	37.889	200
	R2	0.105	37.889	200
省2	G2	0.082	33.971	150
省2	R3	0.102	39.557	100

Tab. 1 Parameters of power plants in different provinces

省份	发电厂	c	b	$p m a x$
省1	G1	0.073	29.037	150
	R1	0.095	37.889	200
	R2	0.105	37.889	200
省2	G2	0.082	33.971	150
省2	R3	0.102	39.557	100

Fig. 4 Typical daily load demand of different provinces

Fig. 5 Internal electricity balance and green certificate allocation of different provinces in scenario 1

Fig. 6 Internal electricity balance and green certificate allocation of different provinces in scenario 2

Fig. 7 Impact of changes in sending-end quotas on outbound electricity volume

Fig. 8 Impact of changes in receiving-end quotas on provincial electricity generation

Fig. 9 Impact of changes in sending/receiving-end quotas on green certificate trading volume at different power stations

References 22

[1]	王若为，李音璇，葛维春，等．沙漠光伏电能外送技术综述[J]．发电技术，2024，45(1)：32-41．
	WANG R W， LI Y X， GE W C，et al ．Summary of desert photovoltaic power transmission technology[J]．Power Generation Technology，2024，45(1)：32-41．
[2]	韩丽，陈硕，王施琪，等．考虑风光消纳与电动汽车灵活性的调度策略[J]．电工技术学报，2024，39(21)：6793-6803．
	HAN L， CHEN S， WANG S Q，et al ．Scheduling strategy considering wind and photovoltaic power consumption and the flexibility of electric vehicles[J]．Transactions of China Electrotechnical Society，2024，39(21)：6793-6803．
[3]	国家发展改革委，国家能源局．无关于加快建设全国统一电力市场体系的指导意见[J]．大众用电，2022，37(2)：8-10．
	National Development and Reform Commission，National Energy Administration ．Guiding opinions on accelerating the construction of a unified national electricity market system[J]．Popular Utilization of Electricity，2022，37(2)：8-10．
[4]	李达，余涛，石竹玉，等．可监管的绿色电力消费评价技术研究[J]．全球能源互联网，2025，8(2)：250-259．
	LI D， YU T， SHI Z Y，et al ．Research on supervised green power consumption evaluation technology [J]．Journal of Global Energy Interconnection，2025，8(2)：250-259．
[5]	王璐．低碳转型“催热”绿电绿证交易[N] ．经济参考报，2024-01-04(007)． doi:10.1109/psgec58411.2023.10255926
	WANG L ．Low-carbon transformation “promote heat” green electricity green certificate trading[N]．Economic Information Daily， 2024-01-04 (007)． doi:10.1109/psgec58411.2023.10255926
[6]	ZHANG L， CHEN C， WANG Q，et al ．The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China[J]．Energy，2021，232：120933． doi:10.1016/j.energy.2021.120933
[7]	CHEN C， ZHU Y， ZENG X，et al ．Analyzing the carbon mitigation potential of tradable green certificates based on a TGC-FFSRO model：a case study in the Beijing-Tianjin-Hebei region，China[J]．Science of the Total Environment，2018，630：469-486． doi:10.1016/j.scitotenv.2018.02.103
[8]	赵懿雯，温家兴，陈斐，等．可再生能源配额制下电力市场发电主体决策优化模型[J]．电网与清洁能源，2024，40(1)：150-155．
	ZHAO Y W， WEN J X， CHEN F，et al ．Optimization model of power generation subject decision-making in electricity market under renewable energy quota system[J]．Power System and Clean Energy，2024，40(1)：150-155．
[9]	徐慧慧，田云飞，赵宇洋，等．考虑绿证-碳交易的多虚拟电厂混合博弈优化调度[J]．智慧电力，2024，52(3)：1-7．
	XU H H， TIAN Y F， ZHAO Y Y，et al ．Optimal scheduling of multiple virtual power plants mixed game considering green certificate and carbon trading[J]．Smart Power，2024，52(3)：1-7．
[10]	张显，王彩霞，谢开，等．“双碳”目标下中国绿色电力市场建设关键问题[J]．电力系统自动化，2024，48(4)：25-33．
	ZHANG X， WANG C X， XIE K，et al ．Key issues of green electricity market construction in china under goals of carbon emission peak and carbon neutrality[J]．Automation of Electric Power Systems， 2024，48(4)：25-33．
[11]	刘昊，郭烨，孙宏斌．中国跨区跨省电力交易综述及展望[J]．电力系统自动化，2022，46(15)：187-199．
	LIU H， GUO Y， SUN H B ．Review and prospect of inter-regional and inter-provincial power trading in China［J］．Automation of Electric Power Systems，2022，46(15)：187-199．
[12]	钟立华，潘峰，杨雨瑶，等．碳计量视角下绿色电力交易对碳市场主体行为决策的影响机制研究[J]．电测与仪表，2025，62(1)：68-79．
	ZHONG L H， PAN F， YANG Y Y，et al ．A study on the impact mechanism of green electricity trading on the decision-making behavior of carbon market participants from the perspective of carbon measurement[J]．Electrical Measurement & Instrumentation，2025，62(1)：68-79．
[13]	路妍，耿鹏云，安磊，等．我国绿色电力交易对当前电力市场影响效果推演[J]．电力建设，2024，45(7)：156-166．
	LU Y， GEN P Y， AN L，et al ．Deduction of the effect of China's green power trading on the electricity market[J]．Electric Power Construction，2024，45(7)：156-166．
[14]	孔凯，周畅游，焦诗元．跨省跨区光伏电力交易定价机制分析及优化建议[J]．华北电力大学学报(社会科学版)，2022(6)：51-59．
	KONG K， ZHOU C Y， JIAO S Y ．Research of the pricing mechanism of cross-provincial and cross-regional PV power trading and suggestions for optimization[J]．Journal of North China Electric Power University (Social Sciences)，2022(6)：51-59．
[15]	彭一海，刘继春，刘俊勇．两级电力市场环境下考虑多类型零售套餐的售电公司购售电策略[J]．电网技术，2022，46(3)：944-957．
	PENG Y H， LIU J C， LIU J Y ．Electricity purchasing and selling strategies for electricity retailers considering multiple types of retail packages in two level electricity market[J]．Power System Technology，2022，46(3)：944-957．
[16]	程海花，杨辰星，刘硕，等．基于路径组合计及ATC的省间中长期交易优化出清和系统研发[J]．电网技术，2022，46(12)：4762-4770．
	CHENG H H， YANG C X， LIU S，et al ．Optimization clearing and system development of inter-provincial medium and long term trade considering ATC base on path combination[J]．Power System Technology，2022，46(12)：4762-4770．
[17]	李笑竹．双轨制下考虑源荷不确定性的鲁棒交易与运行策略研究[D]．乌鲁木齐：新疆大学，2021．
	LI X Z ．Research on robust trading and operation strategy considering source-load uncertainty under dual-track system[D]．Urumqi：Xinjiang University，2021．
[18]	李笑竹，王维庆，王海云，等．基于鲁棒优化的风光储联合发电系统储能配置策略[J]．太阳能学报，2020，41(8)：67-78．
	LI X Z， WANG W Q， WANG H Y，et al ．Energy storage allocation strategy of wind-solar-storage combined system based on robust optimization[J]．Acta Energiae Solaris Sinica，2020，41(8)：67-78．
[19]	陆秋瑜，杨银国，谢平平，等．适应储能参与的调频辅助服务市场机制设计及调度策略[J]．电网技术，2023，47(12)：4971-4989．
	LU Q Y， YANG Y G， XIE P P，et al ．Market mechanism design and scheduling strategy of auxiliary services for frequency control adapting to energy storage participation[J]．Power System Technology，2023，47(12)：4971-4989．
[20]	赵海岭，王维庆，李笑竹，等．计及储能参与的电能-调频-备用市场日前联合交易决策模型[J]．电网技术，2023，47(11)：4575-4587．
	ZHAO H L， WANG W Q， LI X Z，et al ．Day ahead joint trading decision model for electricity， frequency regulation and reserve market considering energy storage participation[J]．Power System Technology， 2023， 47 (11)： 4575-4587．
[21]	安学娜，张少华，李雪．考虑绿色证书交易的寡头电力市场均衡分析[J]．电力系统自动化，2017，41(9)：84-89．
	AN X N， ZHANG S H， LI X ．Equilibrium analysis of oligopolistic electricity markets considering tradable green certificates[J]．Automation of Electric Power Systems，2017，41(9)：84-89．
[22]	张长征，马广奇，张保平．财税支持视域下促进能源结构转型的政策和建议研究[J]．太阳能学报，2022，43(1)：505-506．
	ZHANG C Z， MA G Q， ZHANG B P ．Research on policies and suggestions for promoting the transformation of energy structure from the perspective of fiscal and tax support[J]．Acta Energiae Solaris Sinica，2022，43(1)：505-506．