【论文推荐】东南大学高丙团等：基于演化博弈的风光火发电系统绿色证书-碳排放权-电力联合市场优化研究

摘要

随着电力系统中可再生能源占比不断增加，政府的财政补贴需求也逐渐增大。为了研究可再生能源补贴的市场化策略，本文提出了一种绿色证书-碳排放权-电力联合交易机制。考虑到绿证和碳排放权的商品特性，基于鲁宾斯坦博弈和阶梯定价模型构建了绿证和碳排放权动态成本模型。并进一步考虑能源供应商的不完全理性竞价行为，基于演化博弈构建联合市场竞价优化模型并采用复合微分进化算法求解。最后，通过算例仿真验证了本文构建的模型可以提高可再生能源发电商的利润和可再生能源消纳率，减少碳排放。

Evolutionary game-based optimization of green certificate- carbon emission right- electricity joint market for thermal-wind-photovoltaic power system

基于演化博弈的风光火发电系统绿色证书-碳排放权-电力联合市场优化研究

Ran Wang¹, Yanhe Li^1,2, Bingtuan Gao¹

(1.School of Electrical Engineering, Southeast University, No.2 Sipailou, Nanjing 210096, P. R. China

2.State Grid Qinghai Electric Power Company, No.89 Shengli Street, Xining 810001, P. R. China)

收听作者1分钟语音介绍

Evolutionary game- based optimization of green certifica

Abstract

With the increasing proportion of renewable energy in the power market, the demands on government financial subsidies are gradually increasing. Thus, a joint green certificate- carbon emission right- electricity multi-market trading process is proposed to study the market-based strategy for renewable energy. Considering the commodity characteristics of green certificates and carbon emission rights, the dynamic cost models of green certificates and carbon rights are constructed based on the Rubinstein game and ladder pricing models. Furthermore, considering the irrational bidding behavior of energy suppliers in the actual electricity market, an evolutionary game based multi-market bidding optimization model is presented. Subsequently, it is solved using a composite differential evolutionary algorithm. Finally, the case study results reveal that the proposed model can increase profits and the consumption rate of renewable energy and reduce carbon emission.

Keywords

Electricity market, Carbon emission right, Green certificate, Evolutionary game.

Fig.1 Green certificate- carbon emission rights- electricity multi-market trading process

Fig.2 GCT price negotiation process

Fig.3 Generators quotation strategy curve

Fig.4 Changing process of individual strategy choices

Fig.5 Profits considering only the electricity market

Fig.6 Profits considering the joint market with fixed-price GCT and CET cost model

Fig.7 Profits considering the joint market with dynamic GCT and CET cost model

Fig.8 Profits of power suppliers for different GCT price ranges

Fig.9 Profits of TG for different initial carbon emission quota

本文引文信息

Wang R, Li YH, Gao BT (2023) Evolutionary game-based optimization of green certificate- carbon emission right- electricity joint market for thermal-wind-photovoltaic power system. Global Energy Interconnection, 6(1): 92-101

王冉, 李延和, 高丙团 (2023) 基于演化博弈的风光火发电系统绿色证书-碳排放权-电力联合市场优化研究. 全球能源互联网（英文）, 6(1): 92-101

Biographies

Ran Wang

Ran Wang received a Bachelor degree at Dalian University of Technology, Dalian, China, in 2020 and is currently pursuing a Master degree at Southeast University, Nanjing, China. Her research interests include renewable energy subsidy policies and power market optimization scheduling.

Yanhe Li

Yanhe Li received Bachelor and Master degrees in electrical engineering at Tianjin University, Tianjin, China, in 2005 and 2008, respectively. He is employed as a senior engineer in State Grid Qinghai Electric Power Company, Xining, China. He has been pursuing his Ph.D. degree in Southeast University since 2020. His research interests include the operation and control of power grids.

Bingtuan Gao

Bingtuan Gao received a Bachelor degree in electrical engineering, Master degree in control theory and control engineering, and Ph.D. degree in power electronics and electrical drives, all from Harbin Institute of Technology, Harbin, China, in 2002, 2004, and 2007, respectively. From 2008 to 2010, he was a Post Doctor with the Department of Electrical and Computer Engineering, Michigan State University, East Lansing, USA. He is currently a Professor with the School of Electrical Engineering, Southeast University, Nanjing, China. His research interests include robotics, renewable energy generation, and demand-side management.

编辑：刘通明

审核：王伟

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