
ﺐﺴﺣ ﺔﯿﺳﺎﻜﺗرﻻا ﺎﮭﺗﻮﻗ ، ﺔﮭﺟاﻮﻣ ﻊﯾزﻮﺗ ﺔﻜﺒﺷ ﻦﺴﺣأ ﻰﻠﻋ لﻮﺼﺤﻟﺎﺑ ﺢﻤﺴﺗ ﻲﺘﻟا قﺮﻄﻟا ﺮﯾﻮﻄﺘﻟ ﺔﺳﺮﻜﻣ ﺔﺣوﺮﻃﻷا هﺬھ
ﺐﯿﻟﺎﺳﻷا هﺬھ ﻦﯿﺑ ﻦﻣو ،ﺔﻤﺋﻼﻣ ﺮﺜﻛﻷا ﻲھ ﺔﯿﺒﯾﺮﻘﺘﻟا ﺐﯿﻟﺎﺳﻷا ﺮﺒﺘﻌﺗ ةﺪﻘﻌﻤﻟا ﺔﻠﻜﺸﻤﻟا هﺬھ ﻞﺤﻟو
ﻞﺋﺎﺳو ﻦﻣ ﻮھ يﺬﻟا، ﻒﺸﻜﻟا ﺞﮭﻨﻣ
لﻮﻠﺤﻟا ءﺎﻀﻓ فﺎﺸﻜﺘﺳﻻ ﺔﯿﻛﺬﻟا ﺪﻋاﻮﻘﻟا مﺪﺨﺘﺴﯾ يﺪﻟاو مﺎﻌﻟا ﻰﺼﻗﻷا ﻊﺳﻮﺘﻟا
ﺎﯿﻣزراﻮﺨﻟا ﻮھو ﺔﯿﺳﺎﻜﺗرﻻا ةﻮﻘﻠﻟ ﻞﺜﻣﻷا ﻒﯾﺮﺼﺘﻟا ﻞﻜﺸﻣ ﻊﻣ نﺎﺘﻤﺋﻼﺘﻣ ﻒﺸﻜﻟا ﺞﮭﻨﻣ ﻲﻓ نﺎﺘﻘﯾﺮﻃ كﺎﻨھ
ﺎﺗﺎھ، تﺎﻤﯿﺴﺠﻟا باﺮﺳأ ﺔﻘﯾﺮﻃو
ﺔﻜﺒﺷ ﻰﻠﻋ نﺎﺘﻘﺒﻄﻣ ﺎﻤھ نﺎﺗرﻮﻄﻤﻟا نﺎﺘﻘﯾﺮﻄﻟا
ﺔﯾﺮﺋاﺰﺠﻟا ﺔﺒﯾﺮﻐﻟا ﺔﻜﺒﺸﻟا ﻲھو ﺔﯿﻘﯿﻘﺣ ﺔﻜﺒﺷ ﻰﻠﻋ ﺎﺘﻘﺒﻃ ﻢﺛ ﻦﻣو،
ﺮﯿﯿﻐﺘﻟا ﻊﯿﻄﺘﺴﺗ ﻦﯿﺴﺤﺘﻟا ﻲﺘﻘﯾﺮﻃ ﻦﻣ ﻞﻛ،
ﺔﺒﻗاﺮﻣ ﺔﻘﯾﺮﻄﺑ ةدﺪﺤﻣ ﺾﯾﻮﻌﺗ ﻞﺋﺎﺳوو ﺖﺑاﻮﺛ ﻦﻋ ةرﺎﺒﻋ ﻢﯿﻘﻟا ﺚﯿﺣ ﻞﺣاﺮﻤﻟا ﺐﺴﺣ
ﻟ ﺢﻤﺴﺗ تﺎﯿﻨﻘﺘﻟا هﺬھ نأ ﺔﯿﻠﺟ ﺔﻘﯾﺮﻄﺑ ﺢﺿﻮﺗ ﺔﻠﺼﺤﻤﻟا ﺞﺋﺎﺘﻨﻟا
ﻲﺘﻟا قﺮﻄﻟﺎﺑ ﮫﯿﻠﻋ لﻮﺼﺤﻟا ﻦﻜﻤﯾ ﻢﻟ ﻦﯿﺴﺤﺗ ﻰﻟإ لﻮﺻﻮﻟﺎﺑ ﺎﻨ
ﺎﻨھ ﺔﺳورﺪﻤﻟا ﺔﻜﺒﺸﻟا ﺲﻔﻧ ﻰﻠﻋ ﺎﻘﺑﺎﺳ ﺖﻘﺒﻃ
This thesis is dedicated to the development of the methods allowing obtaining a network with
optimal distribution towards its reactive power according
to criteria and specified constraints.
To resolve this complex problem, the approached methods are the best suited.
methods, méthaheuristiques, which are means of general optimization they use intelligent
rules to cross the space of solutions.
Two métaheuristiques are adapted to the problem of the
optimal reactive power flow.
They are the genetic algorithms, and the
developed methods are validated on networks,
o know the Western Algerian network 220/60 kV
optimization possesses an evolution step by step
parameters means compensations are specified in a checked way.
hniques allow us to end in an optimization which does not have
techniques already applied to the same network of this study.
Cette thèse est consacrée au développement des méthodes permettant d’obtenir un réseau à
vis sa puissance réactive selon des critères et contraintes spécifiées.
Pour résoudre ce problème complexe, les méthodes approchées sont les mieux appropriées.
Parmi ces méthodes, les méthaheuristiques, qui sont des moyens d’optimisation général
elles utilisent des règles intelligentes afin de parcourir l’espace de solutions.