Subject Areas : International Journal of Data Envelopment Analysis
1 - Academic staff
Keywords:
Abstract :
References:
[1] Golshan M, Arefifar S. Optimal allocation of distributed generation and reactive sources considering tap positions of voltage regulators as control variables. European Transactions on Electrical Power. 2007 Nov; 17(3): 219-239.
[2] Atwa Y, El-Saadany E. Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems. IET Renewable Power Generation. 2011 Feb; 5(1): 79-88.
[3] Prommee W, Ongsakul W. Optimal multiple distributed generation placement in microgrid system by improved reinitialized social structures particle swarm optimization. European Transactions on Electrical Power. 2011 Jan; 21(1): 489-504.
[4] Rau N, Wan Y. Optimum Location of Resources in Distributed Planning. IEEE Transaction on Power System. 1994 Nov; 9(4): 2014-2020.
[5] Nara K, Hayashi Y, Ikeda K. Ashizawa K. Application of tabu search to optimal placement of distributed generators. Proceedings of IEEE Power Engineering Society Winter Meeting. 2001 Feb; 2(1): 918–923.
[6] El-Khattam W, Bhattacharya K, Hegazy Y, Salama M. Optimal investment planning for distributed generation in a competitive electricity market. . IEEE Transaction on Power System. 2004 Jan;19(3): 1674–1684.
[7] Soroudi A, Ehsan M, Caire R, Hadjsaid N. Hybrid immune- genetic algorithm method for benefit maximization of distribution network operators and distributed generation owners in a deregulated environment. IET Renewable Power Generation. 2011 Oct; 5(9): 961-972.
[8] Acharya N, Mahat P, Mithulananthan N. An analytical approach for DG allocation in primary distribution network. International Journal of Electric Power Energy System. 2006 Dec; 28(10): 669–678.
[9] Banker R.D, Charnes A, Cooper W.W. Some models for estimiating technical and scale inefficies in data envelopment analysis. Management Science. 1984 Sep;30(9): 1078-1092.
[10] Charnes A, Cooper W.W, Golany B, Seiford L, Stutz J. Foundations of data envelopment analysis and pareto– koopmans empirical production function. Journal of Econometrics. 1985 Nov; 30(1): 91–107.
[11] Jahanshahloo G.R, Hosseinzadeh Lotfi F, Shoja N, Tohidi G, Razavyan S. Ranking using l1 -norm in data envelopment analysis. Elsevier, Applied Mathematics and computation. 2004 May; 153(1): 215-224.
[1] Golshan M, Arefifar S. Optimal allocation of distributed generation and reactive sources considering tap positions of voltage regulators as control variables. European Transactions on Electrical Power. 2007 Nov; 17(3): 219-239.
[2] Atwa Y, El-Saadany E. Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems. IET Renewable Power Generation. 2011 Feb; 5(1): 79-88.
[3] Prommee W, Ongsakul W. Optimal multiple distributed generation placement in microgrid system by improved reinitialized social structures particle swarm optimization. European Transactions on Electrical Power. 2011 Jan; 21(1): 489-504.
[4] Rau N, Wan Y. Optimum Location of Resources in Distributed Planning. IEEE Transaction on Power System. 1994 Nov; 9(4): 2014-2020.
[5] Nara K, Hayashi Y, Ikeda K. Ashizawa K. Application of tabu search to optimal placement of distributed generators. Proceedings of IEEE Power Engineering Society Winter Meeting. 2001 Feb; 2(1): 918–923.
[6] El-Khattam W, Bhattacharya K, Hegazy Y, Salama M. Optimal investment planning for distributed generation in a competitive electricity market. . IEEE Transaction on Power System. 2004 Jan;19(3): 1674–1684.
[7] Soroudi A, Ehsan M, Caire R, Hadjsaid N. Hybrid immune- genetic algorithm method for benefit maximization of distribution network operators and distributed generation owners in a deregulated environment. IET Renewable Power Generation. 2011 Oct; 5(9): 961-972.
[8] Acharya N, Mahat P, Mithulananthan N. An analytical approach for DG allocation in primary distribution network. International Journal of Electric Power Energy System. 2006 Dec; 28(10): 669–678.
[9] Banker R.D, Charnes A, Cooper W.W. Some models for estimiating technical and scale inefficies in data envelopment analysis. Management Science. 1984 Sep;30(9): 1078-1092.
[10] Charnes A, Cooper W.W, Golany B, Seiford L, Stutz J. Foundations of data envelopment analysis and pareto– koopmans empirical production function. Journal of Econometrics. 1985 Nov; 30(1): 91–107.
[11] Jahanshahloo G.R, Hosseinzadeh Lotfi F, Shoja N, Tohidi G, Razavyan S. Ranking using l1 -norm in data envelopment analysis. Elsevier, Applied Mathematics and computation. 2004 May; 153(1): 215-224.
