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Dynamic Economic Dispatch Incorporating Wind Power with Carbon Trading Scheme

机译:碳交易计划的动态经济调度

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This paper proposed an issue aiming at the goal of pierces the relationship between the emission trading scheme and dynamic economic dispatch (DED) problem for the electricity utility. A model of the CO_2 emission trading market will be investigated and introduced into DED problem incorporating wind power plant and independent power providers (IPPs). Then, an accelerated particle swarm optimization (APSO) algorithm is introduced in order to avoid prematurity convergence of the original PSO and improve searching efficiency. Thus, APSO was used to determine the DED strategy of the utility with incorporation of wind power generation and contribution of IPPs. The CO_2 emission trading is treated as the inner-cost, and the superfluous CO2 quotas will be resale into the market, whereas the shortage quotas can be purchased from the market.
机译:本文提出了一个旨在针对电力效用的排放交易计划和动态经济派遣(DED)问题的关系的问题。将调查和引入CO_2排放交易市场的模型,并向包含风电厂和独立电力提供者(IPPS)的DED问题。然后,引入了加速粒子群优化(APSO)算法,以避免原始PSO的最早融合并提高搜索效率。因此,APSO用于确定该效用的策略,并纳入风力发电和IPP的贡献。 CO_2排放交易被视为内部成本,多余的CO2配额将转化到市场上,而缺水配额可以从市场上购买。

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