AHP Decision Making Algorithm for Development of HVDC and EHVAC in Developing Countries
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Nowadays, as the population of urban areas increases, the need for consumption increases as well. This amount of consumption requires power generation centers with large volumes exploiting that it needs to be big enough, which guides technology towards bulk power transmission systems. In doing so, two types of power transmission systems, including HVDC and EHVAC, can be studied. However, since none of the above technologies has been used in developing countries, a decision should be made to introduce and develop any of these technologies. Applying both technologies together would not be cost-effective. A decision-making development needs the principles of conflicting purposes for alternatives and the selection of the best choice based on the needs of decision-makers. Multi-objective optimization methods may well provide a solution for this selection. Thus, this paper studies deciding on the introduction and Development of HVDC and EHVAC in a developing country, Iran. To this end, measures of this selection are described in detail, and then, AHP, one of the well-known MCDM method, is used to make the final decision.
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References
-
O. A. Gashteroodkhani, H. Askarian Abyaneh, B. Vahidi, "A new method for transmission expansion planning based on Vikor method" 29th International Power System Conference (PSC), Tehran, Iran, 2014.
Google Scholar
1
-
M. Mirmozaffari, ?Eco-Efficiency Evaluation in Two-Stage Network Structure: Case Study: Cement Companies,? Iranian Journal of Optimization (IJO), Dec. 16, 2018.
Google Scholar
2
-
M. Mirmozaffari, and A. Alinezhad, ?Ranking of Heart Hospitals Using cross-efficiency and two-stage DEA,? 7th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, pp. 217-222, 2017.
Google Scholar
3
-
A. Azadeh, A. Boskabadi, and S. Pashapour. ?A unique support vector regression for improved modelling and forecasting of short-term gasoline consumption in railway systems,? International Journal of Services and Operations Management, 21(2), 217-237, 2015.
Google Scholar
4
-
A. Boskabadi. ?Using support vector regression (SVR) for weekly oil consumption prediction in railway transportation industry,? no. December 1-12, 2011.
Google Scholar
5
-
A. Boskabadi and A. Azadeh ?A fuzzy model for a distribution network problem in a multi-product supply chain system,? 5th national & 3rd international LOGESTICS & SUPPLY CHAIN CONFERENCE, 75-85, 2012.
Google Scholar
6
-
H. Kamalzadeh, S.N. Sobhan, A. Boskabadi, M. Hatami and A. Gharehyakheh, ?Modeling and Prediction of Iran's Steel Consumption Based on Economic Activity Using Support Vector Machines,? arXiv preprint arXiv:1912.02373, 2019.
Google Scholar
7
-
M. Mirmozaffari, A. Boskabadi, G. Azeem, R. Massah, E. Boskabadi, H. Dolatsara and A. Liravian, ?Machine learning Clustering Algorithms Based on the DEA Optimization Approach for Banking System in Developing Countries?, EJERS, vol. 5, no. 6, pp. 651-658, Jun. 2020.
Google Scholar
8
-
M. Mirmozaffari, G. Azeem, A. Boskabadi, A. Aranizadeh, A. Vaishnav, and J. John, ?A Novel Improved Data Envelopment Analysis Model Based on SBM and FDH Models?, EJECE, vol. 4, no. 3, May 2020.
Google Scholar
9
-
M. Mirmozaffari and A. Alinezhad, ?Malmquist Productivity Index Using Two-stage DEA Model in Heart Hospital, Iranian Journal of Optimization. Volume 10, Issue 2, 2018.
Google Scholar
10
-
M. Mirmozaffari, ?Presenting an expert system for early diagnosis of gastrointestinal diseases,? International Journal of Gastroenterology Sciences, Vol 1; Issue 1; Page 21-27, 2020.
Google Scholar
11
-
M. Mirmozaffari, ?Developing an Expert System for Diagnosing Liver Diseases,? EJERS, vol. 4, no. 3, pp. 1-5, Mar. 2019.
Google Scholar
12
-
M. Mirmozaffari, ?Presenting a Medical Expert System for Diagnosis and Treatment of Nephrolithiasis,? EJMED. May; 1:1, 2019.
Google Scholar
13
-
A. Aranizadeh, M. Kazemi, H. Berahmandpour, and M. Mirmozaffari, ?MULTIMOORA Decision Making Algorithm for Expansion of HVDC and EHVAC in Developing Countries (A Case Study),? Iranian Journal of Optimization, 2020.
Google Scholar
14
-
A. Aranizadeh, I. Niazazari, and M. Mirmozaffari, ?A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm,? European Journal of Electrical Engineering and Computer Science 3 (3), 2019.
Google Scholar
15
-
S.S..Fazeli, S. Venkatachalam, R.B. Chinnam, and A. ?Murat. Two-Stage Stochastic Choice Modeling Approach for Electric Vehicle Charging Station Network Design in Urban Communities,? IEEE Transactions on Intelligent Transportation Systems, 2020.
Google Scholar
16
-
S. Amin-Nejad, T.A. Gashteroodkhani, and Basharkhah, K., "A Comparison of MVDR and LCMV Beamformers? Floating Point Implementations on FPGAs," Wireless Personal Communications, vol. 98, no. 2, pp.1913-1929, 2018.
Google Scholar
17
-
S. Amin-Nejad, K. Basharkhah, and T.A. Gashteroodkhani "Floating Point versus Fixed point Tradeoffs in FPGA Implementations of QR Decomposition Algorithm," European Journal of Electrical and Computer Engineering, vol. 3, no. 5, 2019.
Google Scholar
18
-
O.A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli ?A Fuzzy-based Control Scheme for Recapturing Waste Energy in Water Pressure Reducing Valves" IEEE Power and Energy Society General Meeting (PESGM), pp. 1-5, Portland, OR, Aug 2018.
Google Scholar
19
-
M. Mirmozaffari, A. Alinezhad, and A. Gilanpour, Data Mining Apriori Algorithm for Heart Disease Prediction. Int'l Journal of Computing, Communications & Instrumentation Engg, 4(1), pp.20-23, 2017.
Google Scholar
20
-
M. Mirmozaffari, A. Alinezhad, and A. Gilanpour, Data Mining Classification Algorithms for Heart Disease Prediction. Int'l Journal of Computing, Communications & Instrumentation Engg, 4(1), pp.11-15, 2017.
Google Scholar
21
-
M. Mirmozaffari, A. Alinezhad, and A. Gilanpour, Heart disease prediction with data mining clustering algorithms. Int'l Journal of Computing, Communications & Instrumentation Engg, 4(1), pp.16-19, 2017.
Google Scholar
22
-
M. Mirmozaffari, and A. Alinezhad, Window analysis using two-stage DEA in heart hospitals, October 2017.
Google Scholar
23
-
T.L Saaty (1980) The Analytic Hierarchy Process, New York: McGraw Hill. International, Translated to Russian, Portuguese, and Chinese, Revised editions, Paperback (1996, 2000), Pittsburgh: RWS Publications.
Google Scholar
24
-
T.L Saaty (1994) 'How to make a decision: the analytic hierarchy process,' Interfaces, Vol. 24, No. 6, pp.19?43.
Google Scholar
25
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