Minimization of losses and FACTS installation cost using proposed differential gravitational search algorithm optimization technique

2016 ◽  
Vol 23 (2) ◽  
pp. 235-251
Author(s):  
SN Deepa ◽  
J Rizwana
Keyword(s):  
Power System ◽  
Power Flow ◽  
Search Algorithm ◽  
Optimization Technique ◽  
Gravitational Search Algorithm ◽  
Optimal Location ◽  
Optimization Techniques ◽  
System Stability ◽  
Gravitational Search ◽  
Installation Cost

The optimal location of Flexible AC Transmission Systems (FACTS) controllers in a multi-machine power system using proposed differential gravitational search algorithm (DGSA) optimization method is proposed in this paper. The main objective of this paper is to employ DGSA optimization technique to solve optimal power flow problem in the presence of Unified Power Flow controller for improving voltage profile by reducing losses along with the installation cost thereby enhancing the power system stability. A differential operator is incorporated into the gravitational search algorithm for effective search of the better solution. Due to this, the convergence and accuracy will be faster. The IEEE-6 bus, IEEE-14 bus and IEEE-30 bus systems are tested along with three other optimization techniques to validate the effectiveness of this proposed method. This proposed algorithm presents an optimal location of FACTS devices in transmission lines.

A Multi-objective Hybrid Heuristic Approach for Optimal Setting of FACTS Devices in Power System Operation

2016 ◽  
Vol 5 (3) ◽  
pp. 120
Author(s):  
Sai Ram Inkollu ◽  
Venkata Reddy Kota
Keyword(s):  
Power System ◽  
Power Flow ◽  
Transmission Loss ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Test System ◽  
Optimal Location ◽  
Voltage Profile ◽  
Loss Minimization ◽  
Facts Devices

<p>Improvement of power system performance in terms of increased voltage profile and decreased transmission loss is becoming one of the challenging tasks to the system operators under open access environment. Apart from traditional power flow controlling devices, use of Flexible AC Transmission System (FACTS) devices can give an attractive solution for the operation and control of deregulated power system. The type, size, location and number of FACTS devices are to be optimized appropriately in order to get the targeted benefits. In this paper, two FACTS devices, Thyristor Controller Phase Shift Transformer (TCPST) and Interline Power Flow Controller (IPFC) are selected to obtain the required performance such as improvement of voltage profile and loss minimization. To search the optimal location and optimal rating of the selected FACTS devices, a hybrid algorithm which formulated with Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) is proposed. At the first step, the optimization problem is solved for finding the optimal location of FACTS devices using PSO with an objective of voltage profile maximization and later GSA is implemented to optimize their parameters with an objective of transmission loss minimization. The proposed method is implemented on IEEE 30-bus test system and from the simulation results it can be proved that this technique is well suited for real-time application.  </p><p align="center"><strong><br /></strong></p>

scholarly journals Optimal setting of interline power flow controller in deregulated power systems congestion management by using artificial intelligent controllers

2021 ◽  
Vol 2070 (1) ◽  
pp. 012127
Author(s):  
K Krishna Chaithanya ◽  
G V Nagesh Kumar ◽  
Vempalle Rafi ◽  
B Sravan Kumar
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
System Stability ◽  
Power Losses ◽  
Optimal Tuning ◽  
Gravitational Search ◽  
Flow Controller ◽  
Power Flow Controller

Abstract In electricity market with a deregulation withmany times will become difficult for dispatchingpower, whichis obtained with thepower congestion in transmission lines due to flow of power in buses. To reduce the flow of power in buses and system loss in lines which are heavily loaded, toimproveloadability and system stability for which an Interline Power Flow Controller used. In this article, Disparity Utilization Factor for Line is utilized with the optimal tuning and placement with Gravitational Search Algorithm IPFC hinged transmission lines for power congestion. The rankingof transmission lines by line congestion in terms of relative DLUF. According to the IPFC placementwith the essentialminimum congested, weakline connected to the same bus in the congested distribution network. IPFC optimal Sizing is carried with Gravitational Search Algorithm. The multiobjective function is chosen for parameters tuning of IPFC. A suggested IEEE-30 bus test network is implemented by a graphical representation whichis considered in this study toreduce LUF in transmission lines with IPFC optimal placement. Bothactive power losses and reactive power losses in power systemare necessary to be minimized after every iterationof IPFC optimal tuning. The proposed tuning in this articlegives effectivenesswith the reduction in the values of power system with the objective functions.

scholarly journals Gravitational Search Algorithm Based Automatic Load Frequency Control for Multi-Area Interconnected Power System

2021 ◽  
Vol 12 (3) ◽  
pp. 4548-4568
Author(s):  
Samuel Jonas Yeboah Et.al
Keyword(s):  
Power System ◽  
Pid Controller ◽  
Search Algorithm ◽  
Frequency Control ◽  
Gravitational Search Algorithm ◽  
Load Frequency Control ◽  
System Stability ◽  
Interconnected Power System ◽  
Load Frequency ◽  
Gravitational Search

Demand and frequency deviation is gaining more popularity in power system research especially with multiple power systems interconnections and operations as a result of the complexity of power system network, network upgrade and renewable energy sources integration. However, stability of the power system with respect to momentarily fault of Load Frequency Control (LFC) models, in terms of time taken for the fault to settle, magnitude of overshoot and Steady-State Error (SSE) margin, still remain a challenge to the various proposed LFC designs for power system stability. This paper proposes an intelligent demand and frequency variations controller for a four-area interconnected power system using Gravitational Search Algorithm (GSA) optimisation technique. Proportional Integral Derivative (PID) controller and Gravitational Search Algorithm (GSA) were integrated and implemented on the interconnected power system. The optimised GSA-PID controller demonstrated robustness and superiority with time taken for the instability to settle and maximum overshoot in all the four areas as compared to results with Particle Swarm Optimisation (PSO) PID controller and conventional PID controller under 1% and 5% load perturbation. The settling time in all the areas produced tremendous results with GSA-PID controller compared to the results of PSO-PID and conventional PID, the performance of GSA-PID controller shows better dynamic responses with superior damping, less overshoot, minimum oscillations and shorter transient duration.

Analysis of Optimal Power Flow Using Gravitational Search Algorithm

2016 ◽  
Vol 3 (4) ◽  
pp. 1-11
Author(s):  
M. Lakshmikantha Reddy ◽  
◽  
M. Ramprasad Reddy ◽  
V.C. Veera Reddy ◽  
◽  
...  
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Optimal Power ◽  
Gravitational Search
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