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分布式发电接入技术与无功潮流优化方法的分析.docx


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RESEARCH ON DISTRIBUTED GENERATION ACCESS TECHNOLOGY AND REACTIVE POWER FLOW OPTIMIZATION METHOD
ABSTRACT
Energy shortage and power shortage has e a major issue in the development of the society. Therefore, the development and the utilization of new energy is an effective way to solve energy problems. In the electric industry, distributed generation (DG) which takes advantages of renewable energy rises as a key to ease the demand of power. But the radical distribution mode of power flow will change with the access to DG, and the randomness and volatility resulting from the utility of natural resources can threaten grid safety and economic operation.
Problems on system frequency, voltage stability and reactive power control with the access to DG have been studied further. Deviations between actual power output and predicted power output of DG, actual power output and planned power output are added in ACE calculation model, in which the fuzzy PI control is adopted to adjust the output of generators and keep system frequency stable. In the process of system partition, power output fluctuating with wind speed is discretized into n scenes which are partitioned according to probabilities. Then system voltage is kept over stable range by adjusting generator excitation and pensation device with fuzzy logic control. On the precise of stable system frequency and voltage, power flow calculation aiming for the minimization work loss and voltage excursion puted with particle swarm optimization.
Control strategy proposed in this paper is tested in Matlab/Simulink simulation environment. Results show that system frequency and voltage get smaller fluctuation ranges and more useful optimization with improved AGC and AVE control strategy.
KEY WORDS: distributed generation, AGC control system, AVC control system, reactive power optimization
目录
第一章绪论...................................................................................................................................

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  • 页数61
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  • 上传人wz_198613
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  • 时间2018-05-26