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Study On Unit Commitment Of Energy Saving Generation Dispatch Under Power Market

Posted on:2011-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:H L SunFull Text:PDF
GTID:2199360305971610Subject:Power system and its automation
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With the development of national economy, the demand for energy is rapidly increasing, while the energy consumption is quick, and energy waste is serious, which exacerbate the conflict of energy supply and environmental pollution. Energy crisis has been a constraint factor to our economic development and social harmony. Our power industry, which mainly is thermal power, is one of the key sector of China's energy consumption and pollution emissions, changing the units'scheduling approach and optimizing unit commitment are significant for achieving targets of energy conservation and emissions reduction. To meet the requirements of resource conservation and environmental protection, energy saving generation scheduling is the development direction of power system generation scheduling.Firstly, the mathematical model of the units was described, and various existing methods for solving the units were analyzed and reviewed in this paper.Secondly, according to the Energy Saving Scheduling Approach promulgated by National Development and Reform Commission, mathematical model of Energy Saving Scheduling was built. Because great majority of the units in China was thermal power units, this paper mainly studied the unit commitment of thermal power. Consumption characteristics of thermal power units and the economic load dispatch were the essential basic information of the study on thermal power units combination , in this paper consumption characteristics of thermal power units and the determination method of its parameters were analyzed, the equal incremental principle was employed to deal with the load dispatch problem, a method combining the dynamic programming algorithm and priority list combination was proposed to determine the operation mode, and the dynamic programming algorithm was improved.The problem of whether regional electricity market as a new energy resources arrangement, which was currently built, could improve the generation dispatching operation schemes and promote the energy conservation needed attention. In this paper the mode of energy saving generation combined market mechanisms were studied, and the paper discussed the basic mode of operation of the electricity market, the type of transaction and settlement in detail; a mathematical model of two object functions which were Minimum total system consumption and Minimum the cost of purchasing electricity was built; the solution of the model was to convert the two-objective problem into single objective nonlinear programming problem by defining membership function of the objective function, and then solved by LINGO software programming.The energy-saving calculation of the IEEE 10 units system was simulated in the paper, and the result was compared with results of other methods, which showed the method of priority list combined the improved dynamic programming algorithm which was proposed in this paper was effective and correct; then the operated units were calculated under two object functions which were minimum total system consumption and minimum the cost of purchasing electricity, and the result was compared with results of single object function, which showed the strategy took the two objection into account better than the certainly single function model by stretched each objective slightly.Finally the energy-saving calculation of a practical example in XinShuo region was simulated, and the result was compared with result calculated by the current scheduling model, if it was calculated as the saving coal consumption by 4000 tons each month, the amount of coal saved would be 48000 tons one year only in XinShou region, which showed that energy-saving generation dispatch was very significant.
Keywords/Search Tags:unit commitment, energy saving generation, dynamic programming method, power market, multi-object fuzzy optimization
PDF Full Text Request
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