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Research On Customer Side Participating In Peak-load Regulating Under Conditions Of Large-scale Renewable Energy Integration

Posted on:2016-08-13Degree:MasterType:Thesis
Country:ChinaCandidate:N L CaoFull Text:PDF
GTID:2272330470955731Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
At present, the renewable energy power generation industry develop rapidly, unpredictability of wind power and photovoltaic power indirectly increase the pressure on the grid peaking. Customerside participating in peak-load regulating can solve this problem effectively. But at the moment,there is few research on characteristics and potential of peak-load regulation or peak shaving strategy for a specific load. Based on output characteristics of large-scale wind power base and regulating characteristic ofhigh energy load, this paper mainly studies the response potential quantitative model of high energy load,the peak shaving strategy of high energy load.Firstly, the paper analyzes the output characteristics of large-scale wind power base in Gansu province. The result indicates that after large-scale wind/photovoltaic power access to grid, the power grid peak shaving demand for seconds to minutes doesn’t have a significant increase, but demand for15minutes to hours has increased significantly. So, more than15min level is the key of high energy load participating in peak-load regulating.Secondly, based on the actual operation data of Gansu power grid,this paper proves that Gansu province’s local high energy loads have sufficient load capacity by thepeak-load regulating gapscalculation under conditions of General peaking measures and high energy load participating in peak-load regulating.Furthermore, this paper analyzes the experimental peaking curve of aluminum, silicon carbide, ferroalloy three kind of high energy load, summarizes the interrupt characteristics and regulation characteristics of highenergy load, then proposed the key parameter and constraints characterizing the interruptand regulation feature.Then, this paperbuilds upthe response potential quantitative model of high energy load and the unit commitment optimization model. The response potentialcurve based ona day-ahead generation schedule and rolling schedule has been obtained by MATLAB programming, and it proves thatthe model above can adapt to the requirement of daily peak shaving.Finally, this paper studies the role of high energy load in peak shaving and methods for high energy load to cooperate with other peak shaving method,establish peak shaving strategy ofhigh energy load with long time scales and shorttime scales in combination.
Keywords/Search Tags:High Energy Load, Response Potential Quantitative Model, MixedInteger Quadratic Programming Approach, Peak Shaving Strategy
PDF Full Text Request
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