通过丰富电力市场交易方式,可有效提高新能源消纳水平。针对现有电力市场无法有效控制碳排放的特点,提出计及动态碳排放的电力市场出清方法,将火电碳排放成本动态传导到电价中,从而使部分发电权向新能源转移。同时,当发生弃能时,对弃能机组引入价格因子替换报价,进行电力市场二次出清,深度促进新能源应发尽发,以激励相容机制平衡发电权转受让方收益。采用改进的IEEE 30节点系统进行仿真验证,提出的电力市场交易机制能有效降低火电机组的碳排放并促进风光消纳,验证了该方法的有效性。
Abstract
By enriching the trading methods in the electricity market, the level of new energy consumption can be effectively improved. In view of the characteristics that the existing electricity market cannot effectively control carbon emissions, this paper proposes a power market clearing method that takes into account dynamic carbon emissions, and dynamically transfers the carbon emission cost of thermal power to the electricity price, so that some power generation rights are transferred to new energy sources. At the same time, when energy abandonment occurs, a price factor is introduced to replace the quotation for energy abandonment units, and the secondary clearing of the power market is carried out, which deeply promotes the development of new energy sources and balances the income of the transferee of power generation rights with an incentive compatibility mechanism. Using the improved IEEE 30 node system for simulation verification, the power market trading mechanism proposed in this paper can effectively reduce the carbon emissions of thermal power units and promote wind and solar energy consumption, which verifies the effectiveness of the method.
关键词
新能源消纳 /
电力市场 /
碳排放 /
出清模型 /
风电 /
光伏
Key words
new energy consumption /
electricity market /
carbon emissions /
clearing model /
wind power /
photovoltaic
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参考文献
[1] AATOLA P, OLLIKAINEN M, TOPPINEN A.Impact of the carbon price on the integrating European electricity market[J]. Energy policy, 2013, 61: 1236-1251.
[2] ACWORTH W, DE OCA M M, BOUTE A, et al. Emissions trading in regulated electricity markets[J]. Climate policy, 2020, 20(1): 60-70.
[3] AHAMADA I, KIRAT D.Non-linear pass-through of the CO2 emission-allowance price onto wholesale electricity prices[J]. Environmental modeling & assessment, 2018, 23(5): 497-510.
[4] BOYCE J K.Carbon pricing: effectiveness and equity[J]. Ecological economics, 2018, 150: 52-61.
[5] COADY D, PARRY I W H, SHANG B P. Energy price reform: lessons for policymakers[J]. Review of environmental economics and policy, 2018, 12(2): 197-219.
[6] CUI R Y, HULTMAN N, CUI D Y, et al.A plant-by-plant strategy for high-ambition coal power phaseout in China[J]. Nature communications, 2021, 12(1): 1468.
[7] 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1): 1-9.
SHU Y B, ZHANG Z G, GUO J B, et al.Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1): 1-9.
[8] 樊宇琦, 丁涛, 孙瑜歌, 等. 国内外促进可再生能源消纳的电力现货市场发展综述与思考[J]. 中国电机工程学报, 2021, 41(5): 1729-1752.
FAN Y Q, DING T, SUN Y G, et al.Review and cogitation for worldwide spot market development to promote renewable energy accommodation[J]. Proceedings of the CSEE, 2021, 41(5): 1729-1752.
[9] 宋永华, 包铭磊, 丁一, 等. 新电改下我国电力现货市场建设关键要点综述及相关建议[J]. 中国电机工程学报, 2020, 40(10): 3172-3187.
SONG Y H, BAO M L, DING Y, et al.Review of Chinese electricity spot market key issues and its suggestions under the new round of Chinese power system reform[J]. Proceedings of the CSEE, 2020, 40(10): 3172-3187.
[10] 卢治霖, 刘明波, 尚楠, 等. 考虑碳排放权交易市场影响的日前电力市场两阶段出清模型[J]. 电力系统自动化, 2022, 46(10): 159-170.
LU Z L, LIU M B, SHANG N, et al.Two-stage clearing model for day-ahead electricity market considering impact of carbon emissions trading market[J]. Automation of electric power systems, 2022, 46(10): 159-170.
[11] 刘广一, 申彦红, 杨维, 等. 电力碳排放强度的基本概念及其研究进展[J]. 供用电, 2022, 39(10): 2-9.
LIU G Y, SHEN Y H, YANG W, et al.Carbon emission intensity of electricity: basic concepts, key technologies, and research progress[J]. Distribution & utilization, 2022, 39(10): 2-9.
[12] 康重庆, 程耀华, 孙彦龙, 等. 电力系统碳排放流的递推算法[J]. 电力系统自动化, 2017, 41(18): 10-16.
KANG C Q, CHENG Y H, SUN Y L, et al.Recursive calculation method of carbon emission flow in power systems[J]. Automation of electric power systems, 2017, 41(18): 10-16.
[13] 赵洱岽, 王浩, 林弘杨. 现货市场中基于演化博弈的火电企业阶梯报价策略[J]. 电力建设, 2020, 41(8): 68-77.
ZHAO E D, WANG H, LIN H Y.Research on ladder bidding strategy of thermal power enterprises according to evolutionary game in spot market[J]. Electric power construction, 2020, 41(8): 68-77.
[14] 梁志远, 谢宇霆, 胡秀珍, 等. 碳中和驱动下电力市场零售平台交易模式研究[J]. 电测与仪表, 2022, 59(8): 47-57.
LIANG Z Y, XIE Y T, HU X Z, et al.Research on the trading mode of electricity market retail platform driven by carbon neutrality[J]. Electrical measurement & instrumentation, 2022, 59(8): 47-57.
[15] 吉斌, 昌力, 陈振寰, 等. 基于区块链技术的电力碳排放权交易市场机制设计与应用[J]. 电力系统自动化, 2021, 45(12): 1-10.
JI B, CHANG L, CHEN Z H, et al.Blockchain technology based design and application of market mechanism for power carbon emission allowance trading[J]. Automation of electric power systems, 2021, 45(12): 1-10.
基金
新疆维吾尔自治区自然科学基金（2020D01C031）
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