Many autonomous power systems are powered by diesel generators alone, which results in greater operating costs than interconnected grids. It is therefore desirable to integrate renewable energy sources such as wind into these mini grids. However, due to the fluctuating power generation from the wind resource, the varying load profile and the relatively low system inertia, technical difficulties arise in terms of system stability and efficient operation. Typically the penetration of wind energy on such systems is limited to 30%. Distributed intelligent load control can be used to increase wind penetration and cut diesel fuel consumption, whilst maintaining system stability. This thesis describes the development and application of a distributed intelligent load control system. The development of a self-tuning fuzzy controller and the construction of a laboratory wind-diesel test rig are discussed. The development of a dynamic Wind-Diesel computer model is also described. Finally the results of tests carried out on a Wind-Diesel system consisting of a 45kW stall regulated wind turbine and a 48kW diesel generator are discussed. The results were encouraging demonstrating that distributed fuzzy load control is a low cost and effective technique, which can be applied to small or large hybrid systems. The simulation results are developed by MATLAB.
| Published in | Science Journal of Energy Engineering (Volume 6, Issue 1) |
| DOI | 10.11648/j.sjee.20180601.13 |
| Page(s) | 18-26 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Distributed Fuzzy Load Control, Autonomous Wind Diesel System, Hybrid System, MATLAB, Energy Engineering
| [1] | T. Anderson, A. Doig, D. Rees, S. Khennas, “Rural Energy Services, A Handbook for Sustainable Energy Development.” Intermediate Technology Publications, London, 1999, pp 3-11. |
| [2] | S. K. Aditya, D. Das, “Application of Battery Energy Storage to Load Frequency Control of an Isolated Power System.”, International Journal of Energy Research, 23, 1999, pp247-258. |
| [3] | W. M. Somerville. “Fair Isle renewed”, Proceedings of the British Wind Energy Association Conference 1999, pp263-280. |
| [4] | Stevenson, W. G, Somerville, W. M, “Optimal use of wind and diesel generation on a remote Scottish Island”, Proceedings of the European Wind Energy Association Conference 1984, Part2, pp 681-684. |
| [5] | P. Taylor, N. Jenkins, C. Robb. “Distributed Intelligent Load Control of Autonomous Renewable Energy Systems”, Proceedings of the British Wind Energy Association Conference 1999, pp255-263. |
| [6] | K. Pandiaraj, P. Taylor, N. Jenkins, C. Robb. “Distributed load control of autonomous renewable energy systems”, Accepted for publication by IEEE Transactions on Energy Conversion, 1999. |
| [7] | Y. Song, A. T. Johns, “Applications of Fuzzy Logic in Power Systems.” Power Engineering Journal, October 1997, pp 219-222. |
APA Style
Hla Myo Tun, Zaw Min Naing, Win Khaing Moe, Maung Maung Latt. (2018). Implementation of Distributed Fuzzy Load Control to an Autonomous Wind Diesel System. Science Journal of Energy Engineering, 6(1), 18-26. https://doi.org/10.11648/j.sjee.20180601.13
ACS Style
Hla Myo Tun; Zaw Min Naing; Win Khaing Moe; Maung Maung Latt. Implementation of Distributed Fuzzy Load Control to an Autonomous Wind Diesel System. Sci. J. Energy Eng. 2018, 6(1), 18-26. doi: 10.11648/j.sjee.20180601.13
AMA Style
Hla Myo Tun, Zaw Min Naing, Win Khaing Moe, Maung Maung Latt. Implementation of Distributed Fuzzy Load Control to an Autonomous Wind Diesel System. Sci J Energy Eng. 2018;6(1):18-26. doi: 10.11648/j.sjee.20180601.13
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Download@article{10.11648/j.sjee.20180601.13,
author = {Hla Myo Tun and Zaw Min Naing and Win Khaing Moe and Maung Maung Latt},
title = {Implementation of Distributed Fuzzy Load Control to an Autonomous Wind Diesel System},
journal = {Science Journal of Energy Engineering},
volume = {6},
number = {1},
pages = {18-26},
doi = {10.11648/j.sjee.20180601.13},
url = {https://doi.org/10.11648/j.sjee.20180601.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjee.20180601.13},
abstract = {Many autonomous power systems are powered by diesel generators alone, which results in greater operating costs than interconnected grids. It is therefore desirable to integrate renewable energy sources such as wind into these mini grids. However, due to the fluctuating power generation from the wind resource, the varying load profile and the relatively low system inertia, technical difficulties arise in terms of system stability and efficient operation. Typically the penetration of wind energy on such systems is limited to 30%. Distributed intelligent load control can be used to increase wind penetration and cut diesel fuel consumption, whilst maintaining system stability. This thesis describes the development and application of a distributed intelligent load control system. The development of a self-tuning fuzzy controller and the construction of a laboratory wind-diesel test rig are discussed. The development of a dynamic Wind-Diesel computer model is also described. Finally the results of tests carried out on a Wind-Diesel system consisting of a 45kW stall regulated wind turbine and a 48kW diesel generator are discussed. The results were encouraging demonstrating that distributed fuzzy load control is a low cost and effective technique, which can be applied to small or large hybrid systems. The simulation results are developed by MATLAB.},
year = {2018}
}
TY - JOUR T1 - Implementation of Distributed Fuzzy Load Control to an Autonomous Wind Diesel System AU - Hla Myo Tun AU - Zaw Min Naing AU - Win Khaing Moe AU - Maung Maung Latt Y1 - 2018/04/12 PY - 2018 N1 - https://doi.org/10.11648/j.sjee.20180601.13 DO - 10.11648/j.sjee.20180601.13 T2 - Science Journal of Energy Engineering JF - Science Journal of Energy Engineering JO - Science Journal of Energy Engineering SP - 18 EP - 26 PB - Science Publishing Group SN - 2376-8126 UR - https://doi.org/10.11648/j.sjee.20180601.13 AB - Many autonomous power systems are powered by diesel generators alone, which results in greater operating costs than interconnected grids. It is therefore desirable to integrate renewable energy sources such as wind into these mini grids. However, due to the fluctuating power generation from the wind resource, the varying load profile and the relatively low system inertia, technical difficulties arise in terms of system stability and efficient operation. Typically the penetration of wind energy on such systems is limited to 30%. Distributed intelligent load control can be used to increase wind penetration and cut diesel fuel consumption, whilst maintaining system stability. This thesis describes the development and application of a distributed intelligent load control system. The development of a self-tuning fuzzy controller and the construction of a laboratory wind-diesel test rig are discussed. The development of a dynamic Wind-Diesel computer model is also described. Finally the results of tests carried out on a Wind-Diesel system consisting of a 45kW stall regulated wind turbine and a 48kW diesel generator are discussed. The results were encouraging demonstrating that distributed fuzzy load control is a low cost and effective technique, which can be applied to small or large hybrid systems. The simulation results are developed by MATLAB. VL - 6 IS - 1 ER -
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