Real and Reactive Power Compensation Using UPFC by Bacterial Foraging Optimization Algorithm (BFOA)

نویسنده

  • E. Nandakumar
چکیده

This study presents a finding an optimal location and best parameter setting of Unified Power Flow Controller (UPFC) by Bacterial Foraging Optimization Algorithm (BFOA) for minimizing the active and reactive power loss in power system. The UPFC is one of the important Flexible Alternating Current Transmission System (FACTS) device that control simultaneously voltage magnitude at the sending end and the active and reactive power at the receiving end bus. The FACTS devices have been proposed to be effective for controlling the power flow in transmission lines. However the cost of installing the UPFC is too high. Therefore the objective functions used in this study consider a way to find the compromise solution to a problem. Simulations have been implemented in MATLAB software and IEEE 30 bus system is used. Installing the UPFC in the optimal location by BFO Algorithm can significantly minimize the active and reactive power loss in the power system network.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future load demand. The large number of design variables and combination of discr...

متن کامل

Substation Expansion Planning Based on BFOA

In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future demand. The large number of design variables, and combination of discrete ...

متن کامل

Adaptive bacterial foraging oriented particle swarm optimization algorithm for solving optimal reactive power dispatch problem

This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer sett...

متن کامل

Optimal Multi-Objective Placement of UPFC for Planning the Operation of Power Systems Using the Water Cycle Optimization Algorithm

Abstract: Unified Power Flow Controller (UPFC) is one of the FACTS devices which plays a crucial role in simultaneous regulating active and reactive power, improving system load, reducing congestion and cost of production. Therefore, determining the optimum location of such equipment in order to improve the performance of the network is significant. In this paper, WCA algorithm is used to locat...

متن کامل

Location and Capacity of UPFC to Improve the Operation Power System Using a Grasshopper Optimisation Algorithm

Unified Power Flow Controller (UPFC) is one of the most efficient FACTS devices that can be individually or combinatorial on all effective parameters in the transmission power of the transmission lines. With the flexibility of effective parameters in power passage, the power system operation can be improved. in this study, the optimization algorithm based on location and optimal capacity of UPF...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015