太阳能学报2024,Vol.45Issue(2) :360-367.DOI:10.19912/j.0254-0096.tynxb.2022-1645

计及动态碳排放对新能源消纳市场的价格研究

PRICE STUDY ON NEW ENERGY CONSUMPTION MARKET CONSIDERING DYNAMIC CARBON EMISSIONS

徐高远 王晓晶
太阳能学报2024,Vol.45Issue(2) :360-367.DOI:10.19912/j.0254-0096.tynxb.2022-1645

计及动态碳排放对新能源消纳市场的价格研究

PRICE STUDY ON NEW ENERGY CONSUMPTION MARKET CONSIDERING DYNAMIC CARBON EMISSIONS

徐高远 1王晓晶1
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作者信息

  • 1. 新疆大学电气工程学院,乌鲁木齐 830047
  • 折叠

摘要

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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基金项目

新疆维吾尔自治区自然科学基金(2020D01C031)

出版年

2024
太阳能学报
中国可再生能源学会

太阳能学报

CSTPCDCSCD北大核心
影响因子:0.392
ISSN:0254-0096
参考文献量15
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