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Study On Real-time Automatic Generation Control And Frequency Stability With High Wind Power Penetration Level

Posted on:2017-04-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y J LinFull Text:PDF
GTID:2272330482987327Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Wind power is a renewable and clean energy. Acceptance of large scale wind power has become an important part of the construction of smart grid. Randomness and volatility of high penetration wind power makes the existing deterministic power system evolve into the complex power system with random and determined coupling. It has a great impact on the safety and reliability operation of power system and brings great challenge to the dynamic economic of power system with wind farm. So, the research regarding on automatic generation control and frequency stability with high wind power penetration level is of great significance and academic value. Following is the main work in this thesis.1. A load frequency control model of an interconnected system with two regions which have large-scale wind power integration was built, which used PI controller to control frequency of the system, and used particle swarm algorithm to search the best parameters. Further, the PI controller is introduced to Fuzzy control system and it results a satisfied effect.2. According to the examining computation method of the national grid for wind power output fluctuations, the evaluation indexes based on power generating benefits and fluctuating loss of wind farms were built. Then, based on power forecasting, the AGC sequence of optimum planning was obtained by the uses of proposed dynamic particle swarm optimization with any irregular initial small-world topology (D-SWPSO) in order to reduce the impact of wind power fluctuations in the grid. Simulation and testing results show that the planning strategy can not only reduce the fluctuation of wind power, but also reduce the operating costs which also improve the earnings of wind farms.3. Aiming at the difficulties of the curtailed wind power and fluctuation suppression on AGC stability control, a minutely distributed coordinated real-time control model was constructed. More over, the minutely net-load increment was allocated between the wind farm and conventional AGC units according to the law of equal marginal costs. According to the effect of wind power prediction error on value system of the setting value, the system of the setting value was built which was corrected by using piecewise exponential distribution model of wind power forecasting error. Final, for three models in two system of the setting value, simulation experiments were carried out on the New-England 39-bus system. Simulation and testing results show that regulation capacity of system was fine in the 10-30min under the distributed coordinated control model, which reduces the power system operating cost and improve the curtailed wind power. The corrected system according to the setting value could provide the necessary storage in the other time as well, which improved the stability of system.
Keywords/Search Tags:Wind Power, AGC, Distributed Real-time Control, Load Frequency Control, D-SWPSO
PDF Full Text Request
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