GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM الوضع الأمثل القائم على محسن الذئب الرمادي لأجهزة الحقائق المتعددة في نظام النقل تحت نظام التحميل الديناميكي GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM GREY WOLF OPTIMIZER BASED OPTIMAL PLACEMENT OF MULTIPLE FACTS DEVICES IN THE TRANSMISSION SYSTEM UNDER DYNAMIC LOADING SYSTEM OPTIMIZADOR DE LOBO GRIS BASADO EN LA COLOCACIÓN ÓPTIMA DE DISPOSITIVOS DE DATOS MÚLTIPLES EN EL SISTEMA DE TRANSMISIÓN BAJO EL SISTEMA DE CARGA DINÁMICA

The application of grey wolf optimization technique for multiple FACTS placement is presented in this paper for the reduction of total system losses and minimization of voltage deviation via optimal placement of Flexible AC Transmission System (FACTS) device. Grey wolf optimization (GWO) technique is inspired by social hierarchy and hunting behaviour of wolves and offers a right balance between exploration and exploitation during the search for global optimal. Series-shunt FACTS device; unified power flow controller (UPFC) is considered as a formidable device that can provides an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFC in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. The efficacy of this proposed technique is demonstrated on 31-bus, 330 kV Nigeria National Grid (NNG) using MATLAB environment. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation bedevilling Nigeria National Grid. يتم تقديم تطبيق تقنية تحسين الذئب الرمادي لوضع حقائق متعددة في هذه الورقة لتقليل إجمالي خسائر النظام وتقليل انحراف الجهد عن طريق الوضع الأمثل لجهاز نظام نقل التيار المتردد المرن (FACTS). تقنية تحسين الذئب الرمادي (GWO) مستوحاة من التسلسل الهرمي الاجتماعي وسلوك الصيد للذئاب وتوفر التوازن الصحيح بين الاستكشاف والاستغلال أثناء البحث عن الأمثل العالمي. جهاز حقائق التحويلة المتسلسلة ؛ يعتبر جهاز التحكم الموحد في تدفق الطاقة (UPFC) جهازًا هائلاً يمكن أن يوفر خيارًا بديلاً لقابلية التحكم المرنة وتحسين قدرة نقل الطاقة لخطوط النقل. تم إجراء التحليلات من خلال زيادة عدد UPFCs في الشبكة من أجل تقييم العدد الأمثل لأجهزة الحقائق التي من شأنها أن تعطي أقل خسارة في ظل ظروف التحميل والطوارئ القصوى. تظهر فعالية هذه التقنية المقترحة على الشبكة الوطنية النيجيرية 31 - bus، 330 كيلو فولت باستخدام بيئة MATLAB. تظهر النتائج أن الموضع الأمثل لجهاز الحقائق جنبًا إلى جنب مع تقنية التحسين يوفر حلًا واعدًا لفقدان الطاقة العالي وانحراف الجهد للشبكة الوطنية النيجيرية. The application of grey wolf optimization technique for multiple FACTS placement is presented in this paper for the reduction of total system losses and minimization of voltage deviation via optimal placement of Flexible AC Transmission System (FACTS) device. Grey wolf optimization (GWO) technique is inspired by social hierarchy and hunting behaviour of wolves and offers a right balance between exploration and exploitation during the search for global optimal. Series-shunt FACTS device; unified power flow controller (UPFC) is considered as a formidable device that can provide an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFCs in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. The efficacy of this proposed technique is demonstrated on 31-bus, 330 kV Nigeria National Grid (NNG) using MATLAB environment. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation of the Nigeria National Grid. L'application de la technique d'optimisation du loup gris pour le placement de multiples facteurs est présentée dans ce document pour la réduction des pertes totales du système et la minimisation de la deviation de la tension via le placement optimal du système de transmission CA flexible (FACTS). La technique Grey wolf optimization (GWO) est inspirée par la hiérarchie sociale et le comportement de chasse des loups et offre un juste équilibre entre l'exploration et l'exploitation tout en maintenant la recherche optimale à l'échelle mondiale. Series-shunt FACTS device ; unified power flow controller (UPFC) is considered as a formidable device that can provides an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFC in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. L'efficacité de cette technique proposée est démontrée sur le bus 31, réseau national nigérian (NNG) 330 kV en utilisant l'environnement Matlab. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation signiilling Nigeria National Grid. The application of grey wolf optimization technique for multiple FACTS placement is presented in this paper for the reduction of total system losses and minimization of voltage deviation via optimal placement of Flexible AC Transmission System (FACTS) device. Grey wolf optimization (GWO) technique is inspired by social jerarchy and hunting behaviour of wolves and offers a right balance between exploration and exploitation during the search for global optimal. Series-shunt FACTS device; unified power flow controller (UPFC) is considered as a formidable device that can provides an alternative option for the flexible controllability and improvement of power transfer capability of a transmission lines. The analyses were conducted by increasing the number of UPFC in the network in order to evaluate the optimal number of FACTS devices that would give the least loss under maximum loading and contingency conditions. The efficacy of this proposed technique is demonstrated on 31-bus, 330 kV Nigeria National Grid (NNG) using MATLAB environment. The results show that optimal placement of FACTS device along with optimization technique provides a promising solution to the high power loss and voltage deviation bedevilling Nigeria National Grid.