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考虑碳排放权分配的低碳电源规划 被引量:17

Low Carbon Generation Expansion Planning Based on Carbon Emission Right Allocation
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摘要 在低碳经济环境下,电力行业实行CO2减排势在必行。而低碳环境下的电源规划则是实现CO2减排的关键之一。"总量管制与排放交易"是公认的实现CO2减排及获得低碳效益的有效措施。而推行该措施的关键在于碳排放权的分配方式。文中从低碳政策、低碳技术和低碳市场3个方面分析了低碳因素对电源规划的影响;提出了基于区域比较的碳排放权分配机制,并将低碳因素引入传统的电源规划模型,建立了低碳电源规划模型;应用改进的基于差分进化的粒子群优化算法求解低碳电源规划问题,并通过仿真算例对所建立的规划模型进行了验证。仿真结果表明了所建模型的正确性和适用性,为当前的电源规划工作提供了有益的参考。 In the low carbon economy,it is imperative to reduce the carbon dioxide(CO2) emission in the power sector.And the generation expansion planning(GEP) in low carbon is one of the key links to achieve CO2 emission reduction.'Cap and Trade' is recognized as an effective measure to reduce CO2 emission and gain low carbon benefits.The carbon allocation mechanism is the core.The impact of low carbon factors on GEP is analyzed from three aspects,i.e.policy,technology and market.A carbon allocation mechanism based on area comparison is proposed and the low carbon generation expansion planning(LCGEP) model is developed by introducing low carbon factors into the traditional GEP model.Finally,a modified particle swarm optimization algorithm based on differential evolution(DEPSO) is employed to solve the planning problem in an example which is used to prove the proposed LCGEP model.The simulation result of the example shows the correctness and applicability of the model,providing current GEP work with beneficial reference.
出处 《电力系统自动化》 EI CSCD 北大核心 2012年第19期47-52,共6页 Automation of Electric Power Systems
关键词 低碳 电源规划 CO2减排 碳排放权分配机制 粒子群优化算法 low carbon generation expansion planning(GEP) CO2 emission reduction carbon emission right allocation mechanism particle swarm optimization algorithm
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