A Complementary SVC-based Damping Controller Design Using Multi-objective Evolutionary Algorithm
Publish place: 28th International Power System Conference
Publish Year: 1392
نوع سند: مقاله کنفرانسی
زبان: English
View: 1,280
- Certificate
- من نویسنده این مقاله هستم
این Paper در بخشهای موضوعی زیر دسته بندی شده است:
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
PSC28_147
تاریخ نمایه سازی: 25 اردیبهشت 1393
Abstract:
Static Var compensator (SVC) is one of flexible AC transmission system (FACTS) elements mainly used for reactive power and voltage control in power systems. This paper deals with multi-modal electromechanical oscillations damping in the presence of severe disturbances. These oscillations include local modes, inter-area modes and inter-plant modes. To enhance the damping of the oscillations, a complementary controller is added to voltage regulator of SVC. In order to design such a controller, a multi-objective optimization model is employed and non-dominated sorting genetic algorithm-II (NSGA-II) approach is used to produce sets of Pareto optimal solutions. Also, a fuzzy method is utilized to select the best compromise solution. The proposed method is examined on a two-area power system and simulation results illustrate the robustness and the efficiency of the proposed controller
Keywords:
Fuzzy method , Non-dominated sorting genetic algorithm (NSGA) , Multi-objective optimization problem (MOOP) , Pareto-optimal solutions , Damping Controller , Static Var compensator (SVC)
Authors
Hassan Jafari
Technical Analysis and Supervisory office Tehran Power Transmission Maintenance Engineering Co., METANIR Tehran, Iran
Maryam Mahmoudi
Electrical Engineering faculty Khajeh Nasir University of Technology, (KNTU) Tehran, Iran
Abbas Rabiee
Department of Electrical Engineering, Faculty of Engineering University of Zanjan Zanjan, Iran