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A Bilayer Peak-regulation Compensation Mechanism For Wind Power Integration

Posted on:2020-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y S FuFull Text:PDF
GTID:2492305897468324Subject:Electrical engineering
Abstract/Summary:
The peak-valley difference of the system net load increases with the rapid development of large-scale wind power integration,which increases the demand of peak-regulating ancillary services for power system.However,under the current compensation mechanism,costs of peak-regulating ancillary services are entirely borne by thermal power units,which is apparently unfair.How to improve the peak-regulating compensation mechanism to excitant the peaking units,especially the thermal units,has become an urgent problem for power grid operation.Based on the current research status and existing problems of peak regulation compensation mechanism,this paper establishes a bilayer peak-regulation compensation mechanism for large-scale wind power integration.The main contents are as follows:(1)The current compensation mechanism for peak-regulating ancillary services is introduced from the definitions of peak-regulating ancillary services,the division standard of basic and paid peak-regulating,the source of peaking compensation fees and the model of peak-regulating ancillary services compensation allocation.The necessity of improving the current deep peak-regulating compensation mechanism is pointed out in view of its shortcomings,which lays a foundation for the main research contents of this paper.(2)Mechanism analysis of peak-regulating ancillary services promoting wind power integration.Based on the analysis of wind curtailment status and wind power output characteristics,the effect of realizing peak shaving potential on reducing wind curtailment and smoothing wind power fluctuation is analyzed.This paper demonstrates the feasibility of stimulating high proportion thermal power units to participate in valley-load peak regulation by economic means,and its significance to tap the potential of wind power absorption in stock power system.(3)Basic-peak regulating standard division method based on energy consumption cost analysis.The appropriate indexes for dividing paid and unpaid peak-regulating is selected in view of energy cost analysis of thermal power units and the indicators that reflect their peaking performance.The basic-peak regulating standard is divided by the highest peaking ratio reference method and the K-means clustering method respectively,so that all units can be compensated according to their actual peak-shaving realization conditions,and the fairness of the formulation of the critical peak-shaving standards is improved.(4)Bilayer peak-regulation compensation allocation method based on cooperative game.Firstly,according to the principle of "who benefits,who bears",it is proposed that the additional peak-shaving cost of thermal units caused by wind power integration should be borne by wind farms.Secondly,based on the Shapley value method of cooperative game theory,the compensation is allocated in accordance with the marginal contribution of each peaking unit to every union.Then,the peaking compensation is allocated at two levels through K-means clustering method,to avoid the combination explosion when there are too many units in the calculation of compensation allocation by Sharpley value method.Finally,this method is modified considering the realization coefficient of the peaking capacity of each thermal unit,thus correcting the problem that the equivalence of Sharpley value solution ignores the differential peaking ability of different thermal power units,and enhancing the enthusiasm of units to accommodate wind power.Combined with the example analysis,it is proved that the price compensation model proposed in this paper is fair and effective in stimulating more peak units to participate in peak-regulation ancillary services.
Keywords/Search Tags:wind power integration, peak-regulation compensation, K-means cluster, cooperative game, improved Shapley value
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