Back-Propagation Algorithm-Based Controller for Autonomous Wind-DG Microgrid
This paper deals with a wind-diesel generator hybrid configuration of the microgrid using a voltage source converter (VSC) as a voltage and frequency (VF) controller. The wind power generated by permanent magnet brushless dc generator, and the maximum power is captured by a maximum power point techn...
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| Veröffentlicht in: | IEEE transactions on industry applications Jg. 52; H. 5; S. 4408 - 4415 |
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| Sprache: | Englisch |
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IEEE
01.09.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0093-9994, 1939-9367 |
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| Abstract | This paper deals with a wind-diesel generator hybrid configuration of the microgrid using a voltage source converter (VSC) as a voltage and frequency (VF) controller. The wind power generated by permanent magnet brushless dc generator, and the maximum power is captured by a maximum power point technique using a boost converter with an incremental conductance approach. This power is supplied to the consumer loads and surplus power is stored into battery system (BS). BS is attached at dc link of VSC, which provides load leveling during less or no wind conditions. With such combination of energy resources, a reduced rating, diesel engine-driven squirrel cage induction generator feeds loads, and VSC at point of common coupling (PCC) supports the system when the wind generation is unable to meet out the load demand. Back-propagation feed-forward control algorithm is used for VF control of VSC. This controller provides harmonics elimination, load leveling, and reactive power compensation, and also regulates the voltage at PCC. This microgrid is modeled in MATLAB Sim power tools, and simulation results are produced to verify the appropriate working of both the converters and the overall system. A prototype of the microgrid is also developed to validate the design and model through test results. A comparative study of simulated and experimental work is given in detail. |
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| AbstractList | This paper deals with a wind-diesel generator hybrid configuration of the microgrid using a voltage source converter (VSC) as a voltage and frequency (VF) controller. The wind power generated by permanent magnet brushless dc generator, and the maximum power is captured by a maximum power point technique using a boost converter with an incremental conductance approach. This power is supplied to the consumer loads and surplus power is stored into battery system (BS). BS is attached at dc link of VSC, which provides load leveling during less or no wind conditions. With such combination of energy resources, a reduced rating, diesel engine-driven squirrel cage induction generator feeds loads, and VSC at point of common coupling (PCC) supports the system when the wind generation is unable to meet out the load demand. Back-propagation feed-forward control algorithm is used for VF control of VSC. This controller provides harmonics elimination, load leveling, and reactive power compensation, and also regulates the voltage at PCC. This microgrid is modeled in MATLAB Sim power tools, and simulation results are produced to verify the appropriate working of both the converters and the overall system. A prototype of the microgrid is also developed to validate the design and model through test results. A comparative study of simulated and experimental work is given in detail. |
| Author | Pathak, Geeta Singh, Bhim Panigrahi, Bijaya Ketan |
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| Snippet | This paper deals with a wind-diesel generator hybrid configuration of the microgrid using a voltage source converter (VSC) as a voltage and frequency (VF)... |
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| SubjectTerms | Back-propagation feed-forward (BPFF) Batteries diesel engine Electricity distribution Generators Load load leveling maximum power point technique (MPPT) microgrid Microgrids Power conversion power quality Reactive power squirrel cage induction generator (SCIG) Voltage control |
| Title | Back-Propagation Algorithm-Based Controller for Autonomous Wind-DG Microgrid |
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