碳减排政策下考虑市场环境的发电商交易策略研究
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摘要
在发电商参与发电权交易的前提下,本文研究了碳排放权交易对发电商交易策略的影响。主要分析了无碳限额、碳限额、碳限额与碳交易及碳限额与碳交易且考虑投入减排技术四种政策对发电商交易策略的影响,找到了发电商进行减排技术投入的边界条件。研究结果表明:在碳限额与碳交易政策下,如果投入节能减排技术,发电商最优电价主要取决于减排技术的投入水平和限额时产品的边际利润两个因素;通过合理选择技术投入水平,可以提高发电商的最大期望利润,但能否超过无限额下的最大期望利润则取决于减排技术的投入水平、政府的初始碳配额量以及碳排放权交易价格三个因素。
In the premise of power generation transactions, this paper studies the power plant trading strategy under different situations, mainly anzlyzing the influence of four kinds of policies, such as no carbon emission constraint, carbon emission constraint, carbon quotas and trading and carbon cap-and-trade under the consideration the energy saving technology input. The boundary conditions of applying power plant emission reduction technology are found. The results show that under the carbon cap-and-trade policy, if the energy saving and emission reduction technology is input, the optimal pricing of the power plant depends mainly on the input level of the emission reduction technology and the marginal profit of the product, it can increase the maximum expected profit of the power plant by selecting the technology leve, but whether it can exceed the maximum expected profit without carbon emission constraint depends on the level of the energy saving and emission reduction technology, the initial carbon quotas and carbon cap-and-trade price.
In the premise of power generation transactions, this paper studies the power plant trading strategy under different situations, mainly anzlyzing the influence of four kinds of policies, such as no carbon emission constraint, carbon emission constraint, carbon quotas and trading and carbon cap-and-trade under the consideration the energy saving technology input. The boundary conditions of applying power plant emission reduction technology are found. The results show that under the carbon cap-and-trade policy, if the energy saving and emission reduction technology is input, the optimal pricing of the power plant depends mainly on the input level of the emission reduction technology and the marginal profit of the product, it can increase the maximum expected profit of the power plant by selecting the technology leve, but whether it can exceed the maximum expected profit without carbon emission constraint depends on the level of the energy saving and emission reduction technology, the initial carbon quotas and carbon cap-and-trade price.
引文
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[13] 林昶咏.发电权交易模型与竞价策略 [D].浙江大学,2017.
[14] 赵文会,高姣倩,于金龙.计及碳交易和绿色证书交易机制的发电权交易模型 [J].可再生能源,2016,34(8):1129-1137.
[15] Mills E S,Uncertainty and price theory[J].Quarterly Journal of Economics,1959,73(1):116-130.
[16] 赵文会,高娇倩,宋亚君.基于Cournot模型的电力行业初始碳排放权分配策略研究[J].软科学,2017,31(1):76-80.
[17] 赵文会,高娇倩,宋亚君等.基于供应链的电力行业碳减排投资决策 [J].科技管理研究,2017(4):242-249.
[2] 鲍海,艾东平,杨以涵等.远期与日前市场相结合的发电权交易模式[J].电网技术,2012,36(2):264-270.
[3] M.Prabavathi,R.Gnanadass.Electric power bidding model for practical utility system [J].Alexandria Engineering Journal,2017,http://dx.doi.org/10.1016/ j.aej.2016.12.002.
[4] S.Soleymani,A.M.Ranjbar,A.R.Shirani.New approach to bidding strategies of generating companies in day ahead energy market [J].Energy Conversion and Management,2008,49:1493-1499.
[5] Evaggelos G.Kardakos,Christos K.Simoglou,Anastasios G.Bakirtzis.Optimal bidding strategy in transmission-constrained electricity markets [J].Electric Power Systems Research,2014,109:141-149.
[6] 李欢欢,张晨,吴静等.售电放开政策下发电商售电策略与交易谈判优化模型[J].电力建设,2017,38(3):123-129.
[7] 何莉,廖家平,王淑青.发电企业基于成本分析的现货市场报价策略[J].中国水运,2011,11(2):49-50.
[8] 侯瑞明.电力市场中发电厂竞价策略研究[D].华北电力大学,2015.
[9] C.K.Woo,A.Olsonb,Y.Chen等.Does California’s CO2 price affect wholesale electricity prices in the Western U.S.A. [J].Energy Policy,2017,110:9-19.
[10] C.K.Woo,Y.Chenb,A.Olsonc等.Electricity price behavior and carbon trading:New evidence from California [J].Applied Energy,2017,204:531-543.
[11] P.Rocha,T.K.Das,V.Nanduri.Impact of CO2 cap-and-trade programs on restructured power markets with generation capacity investments [J].Electrical Power and Energy Systems,2015,71:195-208.
[12] 黄大为,韩学山,郭志忠.发电企业多交易市场发电量优化分配策略 [J].电力系统及其自动化学报,2008,20(4):12-16.
[13] 林昶咏.发电权交易模型与竞价策略 [D].浙江大学,2017.
[14] 赵文会,高姣倩,于金龙.计及碳交易和绿色证书交易机制的发电权交易模型 [J].可再生能源,2016,34(8):1129-1137.
[15] Mills E S,Uncertainty and price theory[J].Quarterly Journal of Economics,1959,73(1):116-130.
[16] 赵文会,高娇倩,宋亚君.基于Cournot模型的电力行业初始碳排放权分配策略研究[J].软科学,2017,31(1):76-80.
[17] 赵文会,高娇倩,宋亚君等.基于供应链的电力行业碳减排投资决策 [J].科技管理研究,2017(4):242-249.