| Compared with traditional energy, wind power generation has obviousadvantages in energy saving and emission reduction. Except hydroelectric power,wind power is the maturest power generating technology by renewable resourceswith the fastest development and the highest economic benefit. With the rapiddevelopment of wind power equipment manufacturing level and related technologies,much larger scale wind power will be incorporated into power system, but also bringa significant challenge to the security and stability of power system. The mostimportant reason is that the strong randomness, strong volatility and thecharacteristics of not easy to regulation have become important factors restrictingwind power to expanding the scale of wind power development. The recent analysisof variation characteristics of wind power is mostly applied to wind resourceassessment or electrical power planning. However, the assessment methods of windpower variation characteristics to service to the operation and control time grade arestill insufficient. Therefore, it has been key problem that how do wind powercharacteristics be grasped comprehensively, and guide operation and controlaccording to the assessment information of wind power variation, by making bestuse of coordinated regulation performance of various form power, to enhance thecapacity of wind power integrated into power system on the basis of consideringeconomic and practicability.Firstly, based on previous research, the limitations of the traditional indicators-correlation coefficient and simultaneity rate applied to short time scale are discussed.According to defect, the stationarity index to describe the own characteristics ofwind power, the consistency, complementary index and sub-indexes consideringchange direction to describe the mutual variation characteristics are defined, whichcan be promoted to load characteristic analysis. By choosing different indexes,changing the length of investigated time window, the volatility, the consistent degreeand the complementary ability of wind power local variation can be describedclearly, which have realized quantized evaluation of wind power combinationabilities in different circumstances.Secondly, according to the assessment information of wind power variationcharacteristics in short term, three optimal regulation strategies for fluctuationsmoothing, load following and power balancing are proposed for wind farm set. Thefluctuation and the total/net load tracking property of wind farm cluster output areevaluated by variation characteristic indexes, then moderate optimal regulations aretaken for the periods in which wind power characteristics don’t meet the requirements. In order to improve the operation efficiency of grid connected windfarm set through various power sources, the principle of control quantityconsumptive allocation is given. A relatively fair regulation cost sharing mechanismamong relevant wind farms is developed on the basis of characteristic differencesbetween wind farm outputs. Example shows that the strategies can effectivelysmooth fluctuation or improve the ability to trace load variation of wind power orreduce the power imbalance of system by fewer times of regulation or lessoccupancy for system regulation resources, which are helpful to reduce the adverseinfluence of large scale grid-connected wind power.At last, this paper studies the method for various forms of power coordinationinvolved in wind power regulation. Considering the energy regulation characteristics,a minimization model of general adjustment cost in regulation period is established,by which the optimal regulation quantity consumptive allocation of wind power isrealized and the economy is also ensured at the same time. It provides a new way forcollaborative optimization of various forms of power.This research work is supported by the National High Technology Research andDevelopment of China (863Program)(NO.2011AA05A105) and the NationalNatural Science Foundation of China (NSFC)(NO.50877014). |
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