A. Aravindhababu, A robust decoupled power flow for distribution systems, Energy Conversion and Management 52, pp.1930-1933, 2011.
DOI : 10.1016/j.enconman.2010.11.019

. Abul-'wafa, A network-topology-based load flow for radial distribution networks with composite and exponential load, Electric Power Systems Research 91, pp.37-43, 2012.

E. Abur, Power System State Estimation Theory and Implementation, 2004.
DOI : 10.1201/9780203913673

R. Aote, L. Principal, H. Malik, and . Pso, A Brief Review on Particle Swarm Optimization: Limitations & Future Directions, International Journal of Computer Science Engineering, vol.2, pp.5-2319, 2013.

. Augugliaro, . Dusonchet, . Favuzza, R. Ippolito, and . Sanseverino, A new backward/forward method for solving radial distribution networks with PV nodes, Electric Power Systems Research, pp.330-336, 2008.
DOI : 10.1016/j.epsr.2007.03.001

C. Bonhomme, Une nouvelle fonction de regulation de tension pour faciliter le raccordement de producteurs decentralises sur le reseau de distribution, In: Electricity Distribution, 2001.

B. Vicente and H. Caire, Probabilistic load flow for voltage assessment in radial systems with wind power, International Journal of Electrical Power & Energy Systems, vol.41, issue.1, pp.27-33, 2012.
DOI : 10.1016/j.ijepes.2012.02.014
URL : https://hal.archives-ouvertes.fr/hal-00881077

. Belkacemi, . Feliachi, and S. Choudhry, Multi-Agent systems hardware development and deployment for smart grid control applications, 2011 IEEE Power and Energy Society General Meeting, p.9781457710018, 2011.
DOI : 10.1109/PES.2011.6039822

C. Bernon and G. Gleizes, La conception de systèmes multi-agents adaptatifs: contraintes et spécificités, 2001.

. Biserica, Observabilité et reconstruction d'état des réseaux de distribution du futur, 2011.

K. Baran, A branch-current-based state estimation method for distribution systems, IEEE Transactions on Power Systems, vol.10, issue.1, pp.483-491, 1995.
DOI : 10.1109/59.373974

M. Baran, Distribution system state estimation using AMI data, 2009 IEEE/PES Power Systems Conference and Exposition, p.9781424438112, 2009.
DOI : 10.1109/PSCE.2009.4840257

. Bonjean, . Mefteh, . Gleizes, and M. Maurel, ADELFE 2.0, pp.1-45, 2012.
DOI : 10.1007/978-3-642-39975-6_3

. Bornard, Conduite d'un système de production-transport, 2000.

. Brazier, J. Keplicz, and T. , Formal Specification of Multi-Agent Systems: a Real-World Case, 1995.

. Brazier, Agents negotiating for load balancing of electricity use, Proceedings. 18th International Conference on Distributed Computing Systems (Cat. No.98CB36183), pp.622-629, 1998.
DOI : 10.1109/ICDCS.1998.679850

C. Caramia and V. Pagano, Probabilistic three-phase load flow for unbalanced electrical distribution systems with wind farms, IET Renewable Power Generation, vol.1, issue.2, pp.115-17521416, 2007.
DOI : 10.1049/iet-rpg:20060013

G. Camps and G. , Une théorie des phénomènes globaux fondée sur des interactions locales, Actes des Sixième journées francophones, 1998.

. Chilard, . Grenard, and G. Devaux, Distribution state estimation based on voltage state variables: assessment of results and limitations, IET Conference Publications, pp.1-4, 2009.
DOI : 10.1049/cp.2009.0814

. Chiang, . Zhao, and K. Deng, Homotopy-Enhanced Power Flow Methods for General Distribution Networks With Distributed Generators, IEEE Transactions on Power Systems, vol.29, issue.1, pp.93-100, 2014.
DOI : 10.1109/TPWRS.2013.2268547

. Chilard, . Boes, . Perles, and . Camilleri, The Modelica Language and the FMI Standard for Modeling and Simulation of Smart Grids, Proceedings of the 11th International Modelica Conference, Versailles, France, September 21-23, 2015, 2015.
DOI : 10.3384/ecp15118189

. Chiang, A decoupled load flow method for distribution power networks: algorithms, analysis and convergence study, International Journal of Electrical Power & Energy Systems, vol.13, issue.3, pp.130-138, 1991.
DOI : 10.1016/0142-0615(91)90001-C

K. Choi and M. Cokkinides, Feasibility Study: Autonomous State Estimation in Distribution Systems, IEEE Transactions on Power Systems, vol.26, issue.4, pp.2109-2117, 2011.
DOI : 10.1109/TPWRS.2011.2151260

. Cobelo, . Shafiu, and S. Jenkins, State estimation of networks with distributed generation, European Transactions on Electrical Power, vol.11, issue.1, pp.21-36, 2007.
DOI : 10.1007/978-1-4615-4999-4

R. Conti, Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators, Solar Energy, vol.81, issue.12, pp.1473-1481, 2007.
DOI : 10.1016/j.solener.2007.02.007

O. De and A. Saraiva, Multi-agent systems applied to topological reconfiguration of smart power distribution systems, 2014 International Joint Conference on Neural Networks (IJCNN), pp.2812-2819, 2014.

D. Marzo-serugendo and K. Gleizes, Self-organising Software. From Natural to Artificial Adaptation, pp.978-981, 2011.

H. Dzafic and H. , Real Time Distribution System State Estimation Based On Interior Point Method, Southeast Europe Journal of Soft Computing, vol.3, issue.1, pp.996-1000, 2014.
DOI : 10.21533/scjournal.v3i1.16

H. Deng and Z. , A Branch-Estimation-Based State Estimation Method for Radial Distribution Systems, IEEE Power Engineering Review, vol.22, issue.8, pp.1057-1062, 2002.
DOI : 10.1109/MPER.2002.4312529

. Djebali, Milling plan optimization with an emergent problem solving approach, Computers & Industrial Engineering, vol.87, pp.506-517, 2015.
DOI : 10.1016/j.cie.2015.05.025

K. Das and K. , Simple and efficient method for load flow solution of radial distribution networks, International Journal of Electrical Power & Energy Systems, vol.17, issue.5, pp.335-346, 1995.
DOI : 10.1016/0142-0615(95)00050-0

H. Eminoglu, A new power flow method for radial distribution systems including voltage dependent load models, Electric Power Systems Research, pp.1-3, 2005.
DOI : 10.1016/j.epsr.2005.05.008

. El-keib, A parallel load flow algorithm, Electric Power Systems Research, vol.30, issue.3, pp.203-208, 1994.
DOI : 10.1016/0378-7796(94)00856-6

. Emmer, Imagine math 3: Between culture and mathematics, pp.1-330, 2015.
DOI : 10.1007/978-3-319-01231-5

A. Eriksson, . Vasilenko, and N. Saleem, Multi-Agent Based Distribution Automation Solution for Self-Healing Grids, IEEE Transactions on Industrial Electronics 0046.c (2015), pp.1-1
DOI : 10.1109/tie.2014.2387098

. El-dib and O. Youssef, Load flow solution using hybrid particle swarm optimization, International Conference on Electrical, Electronic and Computer Engineering, 2004. ICEEC '04., pp.742-746, 2004.
DOI : 10.1109/ICEEC.2004.1374585

I. Farid, Multi-agent system design principles for resilient operation of future power systems, 2014 IEEE International Workshop on Intelligent Energy Systems (IWIES), 2014.
DOI : 10.1109/IWIES.2014.6957041

. Ferber, Les systèmes multi-agents : vers une intelligence collective, 1995.

Y. Fister and B. , A comprehensive review of firefly algorithms, Swarm and Evolutionary Computation, vol.13, pp.34-46, 2013.
DOI : 10.1016/j.swevo.2013.06.001

B. Goswami, Direct solution of distribution systems, IEE Proceedings C Generation, Transmission and Distribution, vol.138, issue.1, pp.78-88, 1991.
DOI : 10.1049/ip-c.1991.0010

. Ghazvini, . Abedini, and V. Pinto, Multiagent System Architecture for Short-term Operation of Integrated Microgrids, IFAC Proceedings Volumes, vol.47, issue.3, pp.6355-6360, 2014.
DOI : 10.3182/20140824-6-ZA-1003.00566

. Ghosn, Agent-Oriented Designs for a Self Healing Smart Grid, 2010 First IEEE International Conference on Smart Grid Communications, pp.461-466, 2010.
DOI : 10.1109/SMARTGRID.2010.5622085

. Ghosh, . Lubkeman, and J. Downey, Distribution circuit state estimation using a probabilistic approach, IEEE Transactions on Power Systems, vol.12, issue.1, pp.45-51, 1997.
DOI : 10.1109/59.574922

. Glize, L'adaptation des systèmes à fonctionnalité émergente par auto-organisation coopérative, 2001.

M. Ghatak, An improved load flow technique based on load current injection for modern distribution system, International Journal of Electrical Power & Energy Systems, vol.84, pp.168-181, 2017.
DOI : 10.1016/j.ijepes.2016.05.008

S. Ghosh, An Efficient Method for Load Flow Solution of Radial Distribution Networks, International Journal of Electrical Computer, Electronics and Communication Engineering, vol.2, issue.9, pp.195-202, 2008.

J. Gupta and K. Yadav, A Multi-Agent Framework for Operation of a Smart Grid, Energy and Power Engineering 05, pp.4-1330, 2013.
DOI : 10.4236/epe.2013.54B252

. Ju, . Wu, and S. Zhang, An Extension of FBS Three-Phase Power Flow for Handling PV Nodes in Active Distribution Networks, IEEE Transactions on Smart Grid, vol.5, issue.4, pp.1547-1555, 2014.
DOI : 10.1109/TSG.2014.2310459

. Kaddoum, Optimization under constraints of distributed complex problems using cooperative self-organisation, 2011.

M. Karami, Radial basis function neural network for power system loadflow, International Journal of Electrical Power & Energy Systems, vol.301, pp.60-66, 2008.

. Kruchten, The rational unified process: an introduction, 2004.

S. Kim, Explanation, prediction, and reduction in emergentism Commentary : Emergence et explication, Intellectica, vol.25, pp.45-65, 1997.

S. Khorshidi and N. , A new smart approach for state estimation of distribution grids considering renewable energy sources, Energy, vol.94, pp.94-123, 2016.
DOI : 10.1016/j.energy.2015.10.096

. Kulasekera, . Gopura, and P. Hemapala, A review on multi-agent systems in microgrid applications, ISGT2011-India, pp.173-177, 2011.
DOI : 10.1109/ISET-India.2011.6145377

. Lemouzy, Systèmes interactifs auto-adaptatifs par systèmes multi-agents auto-organisateurs: application à la personnalisation de l'accès à l'information, 2011.

K. Lukovic, Adapting multi-agent systems approach for integration of prosumers in Smart Grids, Eurocon 2013, pp.1485-1491, 2013.
DOI : 10.1109/EUROCON.2013.6625174

L. Kumar, M. Prasanna, and A. , RETRACTED: A Literature Review on Distribution System State Estimation, Procedia Technology, vol.21, pp.423-429, 2015.
DOI : 10.1016/j.protcy.2015.10.063

. Logenthiran, . Srinivasan, and A. Khambadkone, Scalable Multi-Agent System (MAS) for operation of a microgrid in islanded mode, 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India, 2010.
DOI : 10.1109/PEDES.2010.5712459

T. Lin, State estimation for distribution systems with zero-injection constraints, IEEE Transactions on, vol.111, pp.518-524, 1996.

T. Lin, Distribution fast decoupled state estimation by measurement pairing, IEE Proceedings -Generation, Transmission and Distribution, pp.43-13502360, 1996.
DOI : 10.1049/ip-gtd:19960049

T. Lu and L. , Distribution system state estimation, IEEE Transactions on Power Systems 10.I, pp.229-240, 1995.
DOI : 10.1109/59.373946

. Lu, . Zhang, and C. Feng, Distributed agent-based state estimation considering controlled coordination layer, International Journal of Electrical Power & Energy Systems, vol.54, pp.569-575, 2014.
DOI : 10.1016/j.ijepes.2013.08.009

R. Mallick, . Thakur, and . Acharjee, Development of a new algorithm for power flow analysis, International Journal of Electrical Power & Energy Systems, vol.33, issue.8, pp.1479-1488, 2011.
DOI : 10.1016/j.ijepes.2011.06.030

. Manickavasagam, Control of distributed generator and smart grid using multi-agent system, 2011 1st International Conference on Electrical Energy Systems, pp.212-217, 2011.
DOI : 10.1109/ICEES.2011.5725330

. Matei and S. Baras, Trust-based multi-agent filtering for increased Smart Grid security, 20th Mediterranean Conference on Control and Automation, MED 2012 - Conference Proceedings. Ieee, pp.716-721, 2012.
DOI : 10.1109/med.2012.6265722

D. Mishra and P. , A simple algorithm for distribution system load flow with distributed generation, International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), p.9781479940400, 2014.
DOI : 10.1109/ICRAIE.2014.6909127

M. Mefteh and G. Gleizes, S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-agent Systems, 2013 Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp.39-41, 2013.
DOI : 10.1109/WETICE.2013.58
URL : https://hal.archives-ouvertes.fr/hal-01148192

M. Mefteh and G. Gleizes, Simulation Based Design for Adaptive Multi-Agent Systems with the ADELFE Methodology, International Journal of Agent Technologies and Systems, vol.7, issue.1, pp.1-16, 2015.
DOI : 10.4018/ijats.2015010101

. Mekhamer, . Soliman, and . Moustafa, Load flow solution of radial distribution feeders: a new contribution, International Journal of Electrical Power & Energy Systems, vol.24, issue.9, pp.701-707, 2002.
DOI : 10.1016/S0142-0615(02)00005-4

. Mendive, An Application of Ladder Network Theory to the Solution of Three-phase Radial Load-flow Problems, 1975.

R. Müller and C. , Artificial neural networks for load flow and external equivalents studies, Electric Power Systems Research, vol.80, issue.9, pp.1033-1041, 2010.
DOI : 10.1016/j.epsr.2010.01.008

Z. Meliopoulos, Multiphase power flow and state estimation for power distribution systems, Ieee Transactions on Power Systems 11, pp.939-946, 1996.
DOI : 10.1109/59.496178

. Naka, . Genji, and F. Yura, Hybrid Particle Swarm Optimization based Distribution State Estimation using Constriction Factor Approach, Proceedings of International Conference of SCIS & ISIS, pp.1-16, 2002.

. Naka, . Genji, and F. Yura, A Hybrid Particle Swarm Optimization for Distribution State Estimation, IEEE Transactions on Power Systems, vol.181, pp.60-68, 2003.

F. Niknam, A practical algorithm for distribution state estimation including renewable energy sources, Renewable Energy, vol.34, issue.11, 2009.
DOI : 10.1016/j.renene.2009.03.005

K. Nguyen, Distributed state estimation for multi-agent based active distribution networks, IEEE PES General Meeting, 2010.
DOI : 10.1109/PES.2010.5590226

U. Nagata and U. , A multi-agent approach to Smart Grid operations, 2012 IEEE International Conference on Power System Technology (POWERCON), p.9781467328685, 2012.
DOI : 10.1109/PowerCon.2012.6401303

. Pandey, Intelligent agent based micro grid control, 2nd International Conference on Intelligent Agent & Multi-Agent Systems, pp.62-66, 2011.

. Pandey, Multi-agent control coordination of Microgrid, 2013 Students Conference on Engineering and Systems (SCES), pp.1-5, 2013.

C. Perles and G. , Self-adaptive Distribution System State Estimation, p.EUMAS, 2016.
DOI : 10.1109/PSCC.2014.7038469
URL : https://hal.archives-ouvertes.fr/hal-01712560

C. Perles, . Chilard, and G. Croteau, Principle and evaluation of a self-Adaptive Multi-Agent System for State Estimation of electrical distribution network, 2016 World Congress on Sustainable Technologies (WCST), 2016.
DOI : 10.1109/WCST.2016.7886584
URL : https://hal.archives-ouvertes.fr/hal-01712560

F. Pipattanasomporn and R. , Multi-agent systems in a distributed smart grid: Design and implementation, 2009 IEEE/PES Power Systems Conference and Exposition, 2009.
DOI : 10.1109/PSCE.2009.4840087

. Picard, M{é}thodologie de d{é}veloppement de syst{è}mes multi-agents adaptatifs et conception de logiciels {à} fonctionnalit{é} {é}mergente, 2004.

. Powell, Power System Load Flow Analysis (Professional Engineering), p.181, 2004.

. Prostejovsky, . Lepuschitz, and M. Strasser, Autonomous service-restoration in smart distribution grids using Multi-Agent Systems, 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp.1-5, 2012.
DOI : 10.1109/CCECE.2012.6334862

T. Quintana and M. , Interior-point methods and their applications to power systems: a classification of publications and software codes, IEEE Transactions on Power Systems, vol.15, issue.1, pp.170-176, 2000.
DOI : 10.1109/59.852117

. Rami, Controle de tension auto adaptatif pour des productions décentralisées d'énergies connectées au réseau électrique de distribution, 2006.

L. Roscia and L. , Smart City by multi-agent systems, 2013 International Conference on Renewable Energy Research and Applications (ICRERA), pp.20-23, 2013.
DOI : 10.1109/ICRERA.2013.6749783

N. Russell, Artificial Intelligence: A Modern Approach, pp.215-218, 1995.

. Roche, Algorithmes et architectures multi-agents pour la gestion de l'énergie dans les réseaux électriques intelligents, 2012.

P. Rahman and T. , Intelligent Distributed Autonomous Power Systems (IDAPS), 2007 IEEE Power Engineering Society General Meeting, p.1424412986, 2007.
DOI : 10.1109/PES.2007.386043

S. Roytelman, State estimation for electric power distribution systems in quasi real-time conditions, IEEE Transactions on Power Delivery, pp.2009-2015, 1993.
DOI : 10.1109/61.248315

A. Stott, Fast Decoupled Load Flow, IEEE Transactions on Power Apparatus and Systems, vol.93, issue.3, pp.859-869, 1974.
DOI : 10.1109/TPAS.1974.293985

. Searle, Expression and Meaning: Studies in the Theory of Speech Acts, p.187, 1979.
DOI : 10.1017/CBO9780511609213

G. Singh, A New Efficient Method for Load-Flow Solution for Radial Distribution Networks, pp.12-66, 2011.

G. Singh, Improved radial load flow method, International Journal of Electrical Power & Energy Systems, vol.44, issue.1, pp.721-727, 2013.
DOI : 10.1016/j.ijepes.2012.08.005

H. Shirmohammadi and L. Semlyen, A compensation-based power flow method for weakly meshed distribution and transmission networks, IEEE Transactions on Power Systems, vol.3, issue.2, pp.753-762, 1988.
DOI : 10.1109/59.192932

. Singer, Enabling Tomorrow's Electricity System : Report of the ontario smart grid forum, 2010.

K. Solanki and S. , A Multi-Agent Solution to Distribution Systems Restoration, IEEE Transactions on Power Systems, vol.22, issue.3, pp.1026-1034, 2007.
DOI : 10.1109/TPWRS.2007.901280

. Smith, Communication and Control in Problem Solver, IEEE Transactions on computers, vol.2912, pp.12-0018, 1980.

S. Selvan, Distribution system load flow using object-oriented methodology, 2004 International Conference on Power System Technology, 2004. PowerCon 2004., pp.1168-1173, 2004.
DOI : 10.1109/ICPST.2004.1460178

. Su, Probabilistic Load-Flow Computation Using Point Estimate Method, IEEE Transactions on Power Systems, vol.20, issue.4, pp.1843-1851, 2005.
DOI : 10.1109/TPWRS.2005.857921

. Sun, . Nikovski, . Ohno, and K. Takano, A Fast and Robust Load Flow Method for Distribution Systems with Distributed Generations, Energy Procedia, vol.12, pp.236-244, 2011.
DOI : 10.1016/j.egypro.2011.10.033

W. Schweppe, Power System Static-State Estimation, Part I: Exact Model, 1969 power industry computer applications conference, pp.85-91, 1969.
DOI : 10.1109/TPAS.1970.292678

Z. Sun, Global state estimation for whole transmission and distribution networks, Electric Power Systems Research 74, pp.187-195, 2005.
DOI : 10.1016/j.epsr.2004.10.011

J. Thukaram and S. , A robust three-phase state estimation algorithm for distribution networks, Electric Power Systems Research, pp.191-200, 2000.
DOI : 10.1016/S0378-7796(00)00088-2

. Tortelli, . Lourenco, and . Garcia, Fast Decoupled Power Flow to Emerging Distribution Systems via Complex pu Normalization, IEEE Transactions on Power Systems, vol.30, issue.3, pp.1351-1358, 2015.
DOI : 10.1109/TPWRS.2014.2343193
URL : http://spiral.imperial.ac.uk/bitstream/10044/1/15504/2/FDPF_to_Emerging_DS_via_cpu_final_version.pdf

. Van-de-vijver, Emergence et explication, Intellectica, pp.7-23, 1997.

B. Vu, Grids get smart protection and control, IEEE Computer Applications in Power, vol.10, issue.4, pp.40-44, 1997.
DOI : 10.1109/67.625373

. Voropai, A Multi-Agent Approach to Electric Power Systems, 2014.

V. Wolter, . Guercke, and H. Isermann, An AMAS for the Distribution of Intelligence in Electrical Distribution Networks: State Estimation 183 Multi-agent based distributed power flow calculation, IEEE, pp.1-6, 2010.

S. Wang, A Revised Branch Current-Based Distribution System State Estimation Algorithm and Meter Placement Impact, IEEE Transactions on Power Systems, vol.19, issue.1, pp.207-213, 2004.
DOI : 10.1109/TPWRS.2003.821426

Z. Wu, A three-phase power flow algorithm for distribution system power flow based on loop-analysis method, International Journal of Electrical Power & Energy Systems, vol.30, issue.1, pp.8-15, 2008.
DOI : 10.1016/j.ijepes.2007.06.005

. Yan, . Shi, . Yao, and B. Ni, A multi-agent based autonomous decentralized framework for power system restoration, 2014 International Conference on Power System Technology Powercon, pp.871-876, 2014.

Y. Zoka and K. Watanabe, An optimal decentralized control for voltage control devices by means of a multi-agent system, 2014 Power Systems Computation Conference, p.1, 2014.
DOI : 10.1109/PSCC.2014.7038469

S. Zehar, Optimal power flow with environmental constraint using a fast successive linear programming algorithm: Application to the algerian power system " . In: Energy Conversion and Management 49, pp.3362-3366, 2008.

.. Test-case, 132 B.2 64-bus test case 135 B.3 80-bus test case, pp.41-165