Free Access
| Issue |
RAIRO-Oper. Res.
Volume 55, Number 2, March-April 2021
|
|
|---|---|---|
| Page(s) | 899 - 919 | |
| DOI | https://doi.org/10.1051/ro/2021045 | |
| Published online | 06 May 2021 | |
- N. Acharya, P. Mahat and N. Mithulananthan, An analytical approach for DG allocation in primary distribution network. Electr. Power Energy Syst. Thailand 28 (2006) 669–678. [Google Scholar]
- T. Ackermann, G. Andersson and L. Sder, Distributed generation: a definition. Electr. Power Syst. Res. 57 (2001) 195–204. [CrossRef] [Google Scholar]
- T.F. Agajie, A.O. Salau, E.A. Hailu and Y.A. Awoke, Power loss mitigation and voltage profile improvement with distributed generation using grid-based multi-objective harmony search algorithm. J. Electr. Electron. Eng. 13 (2020) 5–10. [Google Scholar]
- K. Akbari, E. Rahmani, A. Abbasi and M.-R. Askari, Optimal placement of distributed generation in radial networks considering reliability and cost indices. J. Intell. Fuzzy Syst. 30 (2016) 1077–1086. [Google Scholar]
- M. Anilkumar, N. Padhiyar and K. Moudgalya, Multi-criterion control of a bioprocess in fed-batch reactor using EKF based economic model predictive control. Chem. Eng. Res. Design 136 (2018) 282–294. [Google Scholar]
- M. Anilkumar, N. Padhiyar and K. Moudgalya, Multi-objective prioritized control of a semi-batch process with multiple feed and multiple products using economic MPC. In: 2018 Indian Control Conference (ICC) (2018) 264–269. [Google Scholar]
- P. Bhatt, C. Long, B. Mehta and N. Patel, Optimal utilization of reactive power capability of renewable energy based distributed generation for improved performance of distribution network. In: Vol. 161 of Renewable Energy and Climate Change. Smart Innovation, Systems and Technologies. Springer, Singapore (2020). [Google Scholar]
- R.E. Brown, Electric Power Distribution Reliability, 2nd edition. CRC Press, Boca Raton (2009). [Google Scholar]
- S. Das, D. Das and A. Patra, Reconfiguration of distribution networks with optimal placement of distributed generations in the presence of remote voltage controlled bus. Renew. Sustainable Energy Rev. 73 (2017) 772–781. [Google Scholar]
- K. Deb, Multi-objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, New York (2001). [Google Scholar]
- M. Dehghani, Z. Montazeri and O.P. Malik, Optimal sizing and placement of capacitor banks and distributed generation in distribution systems using spring search algorithm. Int. J. Emerging Electr. Power Syst. 21 (2020) 20190217. [Google Scholar]
- A. El-Fergany, Study impact of various load models on DG placement and sizing using backtracking search algorithm. Appl. Soft Comput. 30 (2015) 803–811. [Google Scholar]
- A. El-Fergany, Multi-objective allocation of multi-type distributed generators along distribution networks using backtracking search algorithm and fuzzy expert rules. Electr. Power Compon. Syst. 44 (2016) 252–267. [Google Scholar]
- I.O. Elgerd, Electric Energy System Theory: An Introduction. McGraw-Hill Inc., New York (1971). [Google Scholar]
- A. Keane, State of the art techniques and challenges ahead for distributed generation planning and optimization. IEEE Trans. Power Syst. 28 (2013) 1493–1502. [Google Scholar]
- A.P. Lopes, N. Hatziargyriou, J. Mutale, P. Djapic and N. Jenkins, Integrating distributed generation into electric power systems: a review of drivers, challenges and opportunities. Electr. Power Syst. Res. 77 (2007) 1189–1203. [Google Scholar]
- P. Mehta, P. Bhatt and V. Pandya, Optimal selection of distributed generating units and its placement for voltage stability enhancement and energy loss minimization. Ain Shams Eng. J. 9 (2015) 187–201. [Google Scholar]
- K. Mistry and R. Roy, Enhancement of loading capacity of distribution system through distributed generator placement considering techno-economic benefits with load growth. Int. J. Electr. Power Energy Syst. 54 (2014) 505–515. [Google Scholar]
- M.H. Moradi and M. Abedini, A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems. Int. J. Electr. Power Energy Syst. 34 (2012) 66–74. [Google Scholar]
- A. Patwa, T. Thakur and S.C. Gupta, Voltage stability index based optimal sizing and placement of DG. In: IEEE Students’ Conference on Engineering and Systems, SCES 2020. (2020) 9236720. [Google Scholar]
- Q. Qi, J. Wu and C. Long, Multi-objective operation optimization of an electrical distribution network with soft open point. Appl. Energy 208 (2017) 734–744. [Google Scholar]
- D. Rama Prabha, T. Jayabarathi, R. Umamageswari and S. Saranya, Optimal location and sizing of distributed generation unit using intelligent water drop algorithm. Sustainable Energy Technol. Assess. 11 (2015) 106–113. [Google Scholar]
- R.V. Rao and V.K. Patel, An elitist teaching learning based optimization algorithm for solving complex constrained optimization problems. Int. J. Ind. Eng. Comput. 93 (2012) 535–560. [Google Scholar]
- R.V. Rao, V.J. Savsani and D.P. Vakharia, Teaching learning based optimization: an optimization method for continuous non linear large scale problems. Inf. Sci. 183 (2012) 303–315. [Google Scholar]
- M. Sedghi and M. Aliakbar Golkar, Analysis and Comparison of Load flow methods for distribution networks considering distribution generation. Int. J. Smart Electr. Eng. 1 (2012) 27–32. [Google Scholar]
- S. Sultana and P.K. Roy, Multi objective quasi oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems. Int. J. Electr. Power Energy Syst. 63 (2014) 534–545. [Google Scholar]
- J.-H. Teng, A direct approach for distribution system load flow solutions. IEEE Trans. Power Delivery 18 (2003) 882–887. [Google Scholar]
- G. Trivedi, A. Markana, P. Bhatt and V. Patel, Optimal sizing and placement of multiple distributed generators using teaching learning based optimization algorithm in radial distributed network. In: 6th International Conference On Control, Decision And Information Technologies (2019) 958–963. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.