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The Comparative Study of Energy Saving Generation Dispatch and Economic Dispatch Based on Improved Particle Swarm Algorithm

Author: RongFen
Tutor: ChengHaoZhong
School: Shanghai Jiaotong University
Course: Proceedings of the
Keywords: Power system Energy generation scheduling Economic Dispatch Energy consumption characteristics of thermal power units Pollutant emission levels Sewage charges Emissions trading Improved particle swarm optimization
CLC: TM73
Type: Master's thesis
Year: 2011
Downloads: 162
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Abstract


In a growing energy shortage , environmental pollution is increasing around the world have taken a series of measures to achieve the goal of energy saving and emission reduction . China in the context of building a resource -saving and environment -friendly society , the implementation of the reform of the current generation scheduling mode , to carry out energy-saving power generation dispatching strategy to reduce energy consumption and pollutant emissions of the power generation side . Currently , the five provinces of the National Energy Conservation generation scheduling pilot has been successively energy-saving power generation dispatching simulation run . In order to further improve the energy - saving power generation dispatching mode and promote energy saving of the electricity industry , it is necessary from the specific modeling of the energy - saving power generation dispatching explore the energy-saving power generation scheduling with traditional scheduling differences , as well as the impact of the electricity market parties , in order to references and suggestions for the smooth transition from the current scheduling model to the energy-saving power generation dispatching . The typical generator sets in China , research and analysis, and thermal power units design a series of energy consumption and environmental indicators . Shows the method of calculation of the fire turbine coal consumption levels , and gives a typical unit's power consumption curves . Pollutant emissions control policies , and emissions trading elaborate and given the level of pollutant emissions estimation methods . On this basis , the three types of energy-saving power generation scheduling mathematical model for the scheduling model considering the energy consumption of energy-saving , to consider sewage charges , energy-saving scheduling model and energy scheduling model based on emissions trading . Easy to fall into local optimal and in solving constrained optimization problems is difficult to adjust to the penalty factor for the standard particle swarm algorithm , improved particle swarm optimization , adaptive adjustment inertia factor and individual correction strategy to improve the speed of convergence of the algorithm and accuracy. Example , solving the three types of energy-saving power generation scheduling model , and the results are compared and the results of the economic dispatch , in the amount of coal consumption , pollutant emissions , the cost of power generation , the various types of units generating hours , and grid differences in power purchase cost , and confirmed the feasibility of the model and algorithm . According to the results of the analysis and comparison of the vision and recommendations for research and implementation of energy-saving power generation dispatching .

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system scheduling, management, communication
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