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Coordinated Control Strategy for Power Systems with Wind Farms Integration Based on Phase-plane Trajectory

  • Zeng, Yuan (School of Electrical and Information Engineering, Tianjin University) ;
  • Yang, Yang (School of Electrical and Information Engineering, Tianjin University) ;
  • Qin, Chao (School of Electrical and Information Engineering, Tianjin University) ;
  • Chang, Jiangtao (School of Electrical and Information Engineering, Tianjin University) ;
  • Zhang, Jian (China Electric Power Research Institute) ;
  • Tu, Jingzhe (China Electric Power Research Institute)
  • Received : 2017.02.27
  • Accepted : 2017.08.01
  • Published : 2018.01.01

Abstract

The dynamic characteristics of power systems become more and more complex because of the integration of large-scale wind power, which needs appropriate control strategy to guarantee stable operation. With wide area measurement system(WAMS) creating conditions for realizing realt-ime transient stability analysis, a new coordinated control strategy for power system transient stability control based on phase-plane trajectory was proposed. When the outputs of the wind farms change, the proposed control method is capable of selecting optimal generators to balance the deviation of wind power and prevent transient instability. With small disturbance on the base operating point, the coordinated sensitivity of each synchronous generator is obtained. Then the priority matrix can be formed by sorting the coordinated sensitivity in ascending order. Based on the real-time output change of wind farm, coordinated generators can be selected to accomplish the coordinated control with wind farms. The results in New England 10-genrator 39-bus system validate the effectiveness and superiority of the proposed coordinated control strategy.

Keywords

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Fig. 1. Phase-plane trajectory with different fault-clearingtime

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Fig. 2. Comparison of two criteria (δ and f ) varying withPm

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Fig. 3. Computation flowchart of the coordinated controlalgorithm

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Fig. 4. The New England 10-genrator 39-bus system

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Fig. 5. Equivalent phase-plane trajectory

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Fig. 6. Comparison of the generation adjustment cost underthree scenarios in a day

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Fig. 7. Comparison of function f under three scenarios in aday

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Fig. 8. Comparison of the generation adjustment cost underthree scenarios in a day

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Fig. 9. Comparison of function f under three scenarios in aday

Table 1. The active power outputs of the wind farm in a day

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Table 2. Coordinated sensitivity of the SGs

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Table 3. Maximum adjustable inputs of the SGs

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Table 4. Generation cost coefficients of the SGs

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Table 5. The active output of wind farm 2 in a day

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Table 6. Coordinated sensitivity of generators

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