Network voltage controller for distributed generation

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Network voltage controller for distributed generation

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Present distribution network voltage design practice limits the distributed generation capacity that can be connected to 11 kV networks. It has been shown previously that adoption of a more active approach to network voltage control can significantly increase distributed generation capacity. One way to do this is to control the target voltage of automatic voltage control relays at primary substations. A basic design for a controller to do this has been created, comprising three algorithms. A statistical state estimation algorithm estimates the voltage magnitude at each network node supplied by the primary substation, using real-time measurements, network data and load data. The estimate accuracy depends on the number and placement of real-time measurements. Studies using an 11 kV feeder model showed that an acceptable accuracy could be obtained with one or two measurements. The state estimator uses pseudo measurements for unmeasured loads. A load model was constructed using load profiles to calculate the pseudo measurements. The calculated pseudo measurements were inaccurate, but it was found that acceptable state estimate accuracy could be obtained with inaccurate pseudo measurements. A control algorithm alters the AVC relay target voltage, based on the maximum and minimum node voltage magnitude estimates. A simulation on a four-feeder network showed that the algorithm enabled the generator power export to be more than doubled.

Inspec keywords: voltage control; distribution networks; distributed power generation; power system state estimation; substations; relay control; voltage regulators; power system measurement

Other keywords: distribution network; electric generator; 11 kV; primary substation; statistical state estimation algorithm; distributed generation; automatic voltage control relay; network data; load data; network voltage controller; four-feeder network; pseudo measurement; real-time measurement; feeder model

Subjects: Power system measurement and metering; Control of electric power systems; Distribution networks; Substations; Voltage control

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • A. Monticelli . (1999) State estimation in electric power systems.
    5. 5)
      • F.F. Wu . Power system state estimation: a survey. Electr. Power Energy Syst. , 2 , 80 - 87
    6. 6)
    7. 7)
      • E. Handschin , F. Schweppe , C. Kohlas , J.A. Fiechter . Bad data analysis for power system state estimation. IEEE Trans. Power Appar. Syst. , 2 , 329 - 337
    8. 8)
    9. 9)
      • A.J. Wood , B.F. Wollenberg . (1996) Power, generation, operation and control.
    10. 10)
      • M.S. Calovic . Modeling and analysis of under-load tap-changing transformer control systems. IEEE Trans. Power Appar. Syst. , 7 , 1909 - 1915
    11. 11)
      • Allera, S.V., Horsburgh, A.G.: `Load profiling for energy trading and settlements in the UK electricity markets', Presented at DistribuTECH Europe DA/DSM Conference, October 1998, London, UK.
    12. 12)
      • (2000) VA TECH REYROLLE ACP Ltd.: ‘Technical manual of Super/MicroTAPP voltage control relays’.
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