ارائه رویکردی مقاوم و منعطف برای برنامه‌ریزی توسعه شبکه توزیع در حضور منابع تولید پراکنده و عدم‌قطعیت‌های بار، قیمت انرژی و منابع تجدیدپذیر

[1] H. Mori and T. Yoshida,“An efficient multi-objective memetic algorithm for uncertainties in distribution network expansion planning,” in Power & Energy Society General Meeting, 2009. PES'09. IEEE, 2009, pp. 1-6.

[2] S. N. Ravadanegh, N. Jahanyari, A. Amini, and N. Taghizadeghan,“Smart distribution grid multistage expansion planning under load forecasting uncertainty,” IET Generation, Transmission & Distribution, vol. 10, no. 5, pp. 1136-1144, 2016.

[3] A. Zidan, M. F. Shaaban, and E. F. El-Saadany,“Long-term multi-objective distribution network planning by DG allocation and feeders’ reconfiguration,” Electric Power Systems Research, vol. 105, pp. 95-104, 2013.

[4] K. Zou, A. P. Agalgaonkar, K. M. Muttaqi, and S. Perera,“Distribution system planning with incorporating DG reactive capability and system uncertainties,” IEEE Transactions on Sustainable Energy, vol. 3, no. 1, pp. 112-123, 2012.

[5] سجاد نجفی روادانق و حامد خاتمی،  «طراحی شبکه توزیع بهینه و مقاوم نسبت به عدم‌قطعیت برآورد بار ». مجله مهندسی برق دانشگاه تبریز، دوره 46، شماره 2، صفحه 323-332، تابستان 1395.

[6] نبی طاهری، رحمت الله هوشمند و رضا همتی،  « برنامه‌ریزی هماهنگ نصب منابع تولید پراکنده و توسعه شبکه توزیع در حضور نامعینی بار و قیمت انرژی ». مجله مهندسی برق دانشگاه تبریز، دوره 44، شماره 1، صفحه 44-56، زمستان 1392.

[7] M. Haghifam, H. Falaghi, and O. Malik,“Risk-based distributed generation placement,” IET Generation Transmission and Distribution, vol. 2, no. 2, pp. 252-260, 2008.

[8] E. Naderi, H. Seifi, and M. S. Sepasian,“A dynamic approach for distribution system planning considering distributed generation,” IEEE Transactions on Power Delivery, vol. 27, no. 3, pp. 1313-1322, 2012.

[9] G. Muñoz-Delgado, J. Contreras, and J. M. Arroyo,“Multistage generation and network expansion planning in distribution systems considering uncertainty and reliability,” IEEE Transactions on Power Systems, vol. 31, no. 5, pp. 3715-3728, 2016.

[10] G. Celli, E. Ghiani, G. Soma, and F. Pilo: Planning of reliable active distribution systems: in Proc. CIGRE 2012, 2012, pp. 1-12.

[11] M. S. Nazar, M. R. Haghifam, and M. Nažar,“A scenario driven multiobjective Primary–Secondary Distribution System Expansion Planning algorithm in the presence of wholesale–retail market,” International Journal of Electrical Power & Energy Systems, vol. 40, no. 1, pp. 29-45, 2012.

[12] S. Favuzza, G. Graditi, M. G. Ippolito, and E. R. Sanseverino,“Optimal electrical distribution systems reinforcement planning using gas micro turbines by dynamic ant colony search algorithm,” IEEE Transactions on Power Systems, vol. 22, no. 2, pp. 580-587, 2007.

[13] H. Xing, H. Cheng, Y. Zhang, and P. Zeng,“Active distribution network expansion planning integrating dispersed energy storage systems,” IET Generation, Transmission & Distribution, vol. 10, no. 3, pp. 638-644, 2016.

[14] V. F. Martins and C. L. Borges,“Active distribution network integrated planning incorporating distributed generation and load response uncertainties,” IEEE Transactions on Power Systems, vol. 26, no. 4, pp. 2164-2172, 2011.

[15] S. F. Santos et al.,“Novel Multi-Stage Stochastic DG Investment Planning with Recourse,” IEEE Transactions on Sustainable Energy, vol. 8, no. 1, pp. 164-178, 2017.

[16] U. Sultana, A. B. Khairuddin, A. Mokhtar, N. Zareen, and B. Sultana,“Grey wolf optimizer based placement and sizing of multiple distributed generation in the distribution system,” Energy, vol. 111, pp. 525-536, 2016.

[17] H. Doagou-Mojarrad, G. Gharehpetian, H. Rastegar, and J. Olamaei,“Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm,” Energy, vol. 54, pp. 129-138, 2013.

[18] M. Esmaeili, M. Sedighizadeh, and M. Esmaili,“Multi-objective optimal reconfiguration and DG (Distributed Generation) power allocation in distribution networks using Big Bang-Big Crunch algorithm considering load uncertainty,” Energy, vol. 103, pp. 86-99, 2016.

[19] R. R. Gonçalves, J. F. Franco, and M. J. Rider,“Short-term expansion planning of radial electrical distribution systems using mixed-integer linear programming,” IET Generation, Transmission & Distribution, vol. 9, no. 3, pp. 256-266, 2014.

[20] M. Rouholamini and M. Mohammadian,“Energy management of a grid-tied residential-scale hybrid renewable generation system incorporating fuel cell and electrolyzer,” Energy and Buildings, vol. 102, pp. 406-416, 2015.

[21] M. Rouholamini and M. Mohammadian,“Heuristic-based power management of a grid-connected hybrid energy system combined with hydrogen storage,” Renewable Energy, vol. 96, pp. 354-365, 2016.

[22] A. Tabares, J. F. Franco, M. Lavorato, and M. J. Rider,“Multistage Long-Term Expansion Planning of Electrical Distribution Systems Considering Multiple Alternatives,” IEEE Transactions on Power Systems, vol. 31, no. 3, pp. 1900-1914, 2016.

[23] M. Asensio, P. M. de Quevedo, G. Munoz-Delgado, and J. Contreras,“Joint Distribution Network and Renewable Energy Expansion Planning considering Demand Response and Energy Storage ̶ Part I: Stochastic Programming Model,” IEEE Transactions on Smart Grid, 2016.

[24] M. Rouholamini, M. Mohammadian, C. Wang, and A. A. Gharaveisi,“Optimal fuzzy-based power management for real time application in a hybrid generation system,” IET Renewable Power Generation, 2017.

[25] Y. Y. Haimes, Risk modeling, assessment, and management. John Wiley & Sons, 2015.

[26] J. H. Zhao, Z. Y. Dong, P. Lindsay, and K. P. Wong,“Flexible transmission expansion planning with uncertainties in an electricity market,” IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 479-488, 2009.

[27] S. Sakawa and H. Yano,“An interactive fuzzy satisficing method for multiobjective nonlinear programming problems with fuzzy parameters,” Fuzzy Sets and Systems, vol. 30, no. 3, pp. 221-238, 1989.

[28] S. N. Ravadanegh, N. Jahanyari, A. Amini, and N. Taghizadeghan,“Smart distribution grid multistage expansion planning under load forecasting uncertainty,” IET Generation, Transmission & Distribution, vol. 10, no. 5, pp. 1136-1144, 2016.

[29] M. Rahmani-Andebili, “Nonlinear demand response programs for residential customers with nonlinear behavioral models,” Energy and Buildings, vol. 119, pp. 352-362, 2016.

[30] V. Quintana, H. Temraz, and K. Hipel,“Two-stage power system distribution planning algorithm,” in IEE Proceedings (Generation, Transmission and Distribution), 1993, vol. 140, no. 1, pp. 17-29.

[31] International Energy Agency (IEA). Distributed generation in liberalized electricity markets. Paris: IEA; 2002.

[32] Strachan ND, Farrell AE. Emissions from distributed generation. Carnegie Mellon electricity industry center (CEIC) working paper ,http://wpweb2.tepper.cmu.edu/ceic/pdfs/CEIC_02_04.pdf

[33] M. Rabiee, M. Zandieh, and P. Ramezani,“Bi-objective partial flexible job shop scheduling problem: NSGA-II, NRGA, MOGA and PAES approaches,” International Journal of Production Research, vol. 50, no. 24, pp. 7327-7342, 2012.

[34] J. Savier and D. Das,“Impact of network reconfiguration on loss allocation of radial distribution systems,” IEEE Transactions on Power Delivery, vol. 22, no. 4, pp. 2473-2480, 2007.

[35] T. Niknam, H. D. Mojarrad, and M. Nayeripour,“A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch,” Energy, vol. 35, no. 4, pp. 1764-1778, 2010.

[36] H.-H. Chang,“Genetic algorithms and non-intrusive energy management system based economic dispatch for cogeneration units,” Energy, vol. 36, no. 1, pp. 181-190, 2011.