Optimization of Load Ranking and Load Shedding in a Power System Using the Improved AHP Algorithm
Received: 21 February 2022 | Revised: 12 March 2022 | Accepted: 20 March 2022 | Online: 6 June 2022
Corresponding author: T. N. Le
Abstract
This paper proposes a method of load ranking and load shedding in a power system based on the calculation of the priority weighting continuity of the power supply of loads and the improved AHP algorithm. The proposed method applies the theories of covariance between objects, correlation, and fuzzy preference to develop a fuzzy preference correlation matrix based on the percentage of Vital Load, Semi Vital Load, and Non-Vital Load at each load bus. This matrix replaces the judgment matrix of the traditional AHP algorithm to form the criteria layers and scheme layers of the problem. The priority weighting continuity of the power supply of loads is continuously calculated and updated according to the load profile and is used to distribute the load shedding power to each load bus. This distribution optimizes the objective function and maximizes the load benefits, thereby minimizing the damages due to load shedding. The traditional AHP method and the proposed method are applied to the IEEE 30 bus system and the result comparison demonstrates the effectiveness of the proposed method.
Keywords:
Optimal Load Shedding, load ranking, AHP, Improved AHP, correlationDownloads
References
L. T. H. Nhung, T. T. Phung, H. M. V. Nguyen, T. N. Le, T. A. Nguyen, and T. D. Vo, "Load Shedding in Microgrids with Dual Neural Networks and AHP Algorithm," Engineering, Technology & Applied Science Research, vol. 12, no. 1, pp. 8090–8095, Feb. 2022. DOI: https://doi.org/10.48084/etasr.4652
M. A. Zdiri, A. S. Alshammari, A. A. Alzamil, M. B. Ammar, and H. H. Abdallah, "Optimal Shedding Against Voltage Collapse Based on Genetic Algorithm," Engineering, Technology & Applied Science Research, vol. 11, no. 5, pp. 7695–7701, Oct. 2021. DOI: https://doi.org/10.48084/etasr.4448
T. Le and B. L. N. Phung, "Load Shedding in Microgrids with Consideration of Voltage Quality Improvement," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6680–6686, Feb. 2021. DOI: https://doi.org/10.48084/etasr.3931
B. Moran, "Microgrid load management and control strategies," in 2016 IEEE/PES Transmission and Distribution Conference and Exposition (T D), Dallas, TX, USA, Feb. 2016, pp. 1–4. DOI: https://doi.org/10.1109/TDC.2016.7520025
W. Shi, X. Xie, C.-C. Chu, and R. Gadh, "A distributed optimal energy management strategy for microgrids," in 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm), Venice, Italy, Aug. 2014, pp. 200–205. DOI: https://doi.org/10.1109/SmartGridComm.2014.7007646
Z. Zhang, J. Wang, and X. Cao, "An energy management method of island microgrid based on load classification and scheduling," Dianli Xitong Zidonghua/Automation of Electric Power Systems, vol. 39, no. 15, pp. 17–23 and 109, Aug. 2015.
A. Mutanen, M. Ruska, S. Repo, and P. Jarventausta, "Customer Classification and Load Profiling Method for Distribution Systems," IEEE Transactions on Power Delivery, vol. 26, no. 3, pp. 1755–1763, Jul. 2011. DOI: https://doi.org/10.1109/TPWRD.2011.2142198
K. Zhou, S. Yang, and C. Shen, "A review of electric load classification in smart grid environment," Renewable and Sustainable Energy Reviews, vol. 24, pp. 103–110, Aug. 2013. DOI: https://doi.org/10.1016/j.rser.2013.03.023
S. Zhong and K.-S. Tam, "Hierarchical Classification of Load Profiles Based on Their Characteristic Attributes in Frequency Domain," IEEE Transactions on Power Systems, vol. 30, no. 5, pp. 2434–2441, Sep. 2015. DOI: https://doi.org/10.1109/TPWRS.2014.2362492
L. Ye, J. Sun, T. Zhou, J. Zhang, W. Sun, and H. Xi, "A practical under-voltage load shedding strategy for regional power grid considering multiple operating modes," Energy Reports, vol. 7, pp. 175–182, Apr. 2021. DOI: https://doi.org/10.1016/j.egyr.2021.02.004
Y. F. Hassan, Y. G. Rashid, and F. M. Tuamiah, "Demand Priority in a Power System With Wind Power Contribution Load Shedding Scheme Based," Journal of Engineering, vol. 25, no. 11, pp. 92–110, Oct. 2019. DOI: https://doi.org/10.31026/j.eng.2019.11.08
Y. F. Hassan and F. M. Tuaimah, "Reduction Strategy for Electrical Loads Based on Demand Priority in Power System," Recent Patents on Engineering, vol. 15, no. 3, pp. 388–395. DOI: https://doi.org/10.2174/1872212114999200407104350
Regulations on electrical equipment. Vietnam: Ministry of Industry and Trade, 2006.
C. Wang, H. Yu, L. Chai, H. Liu, and B. Zhu, "Emergency Load Shedding Strategy for Microgrids Based on Dueling Deep Q-Learning," IEEE Access, vol. 9, pp. 19707–19715, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3055401
Z. Deng and J. Wang, "Multi-Sensor Data Fusion Based on Improved Analytic Hierarchy Process," IEEE Access, vol. 8, pp. 9875–9895, 2020. DOI: https://doi.org/10.1109/ACCESS.2020.2964729
L.-W. Lee, "Group decision making with incomplete fuzzy preference relations based on the additive consistency and the order consistency," Expert Systems with Applications, vol. 39, no. 14, pp. 11666–11676, Oct. 2012. DOI: https://doi.org/10.1016/j.eswa.2012.04.043
J. Zhu, "Optimal Load Shedding," in Optimization of Power System Operation, IEEE, 2015, pp. 437–482. DOI: https://doi.org/10.1002/9781118887004.ch11
Downloads
How to Cite
License
Copyright (c) 2022 T. N. Le, H. M. V. Nguyen, T. A. Nguyen, T. T. Phung, B. D. Phan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
