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Research On Economic Dispatch Of Power System Intergrated With Wind Power Considering Carbon Trading

Posted on:2017-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:Z Y FanFull Text:PDF
GTID:2322330488989239Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Facing with the deteriorating environment, wind power as a clean energy has become a hot research topic. But uncertainty, volatility and anti-peaking characteristics of wind power bring great difficulties to the wind power access and operation scheduling of grid. At the same time, the implementation of low-carbon emission policy has been a positive response from all over the world, and establishment of a carbon trading market has gradually been the topic of the world. Therefore it is very necessary to consider wind power and carbon trading in the dispatch model of power system.First, this paper introduces the carbon emissions trading scheme, principles and the initial allocation method of carbon emission rights. And the scheduling features of various power system is compared. Secondly, multi-target environment for economic scheduling model is established in the carbon trading background. Carbon trading costs is introduced in the economic objective function, and based on the carbon emissions, the transaction costs of carbon is divided into carbon benefits, carbon credits costs, emission penalty, and carbon trading costs is controlled through the purchase margin of carbon credits; The target function of minimum pollutants is considered in the model to further promote low-carbon emission reducing in power system scheduling. The uncertainty of wind power is handled based on the theory of chance-constrained programming, which is converted into the load forecast error and wind power prediction error, and uncertainty model is solved by converting normal distribution model into its equivalent model. Non-dominated sorting genetic algorithm(NSGA) is introduced to solve the mixed integer multi-objective optimization problem, and numerical example shows that the model in this paper is right and effective. Finally, a low-carbon economy is constructed considering the effect of carbon trading costs and capacity by wind power uncertainty. Carbon trading cost model between wind power and thermal power is established, and taking into account the spinning reserve capacity calls increased carbon emissions of thermal power, a certain amount of compensation of thermal power is considered in the allocation of carbon emission right; and on this basis, costs of abandoned wind caused by uncertainty of wind power is taken into account in the generalized operating costs, the economic objective function of operating costs of thermal power plants and wind farm is established. The example shows wind power generation can be increased by considerin g allocations right of wind, fire carbon emissions separately; Volatility of large capacity thermal power can be reduced by allowing a certain degree of abandoned wind, and the unit can run more smoothly to improve efficiency of thermal power units.
Keywords/Search Tags:power system, economic dispatch, carbon trading, spinning reserve, chance-constrained programming, capacity of abandon wind power
PDF Full Text Request
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