scholarly journals Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 3329-3336
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Technique ◽  
Operating Cost ◽  
Stability Index ◽  
Bat Algorithm ◽  
Pso Algorithm ◽  
Optimal Placement ◽  
Improved Genetic Algorithm

The power system congestion is treated as a vital issue in the restructured topology of the power system. The analysis of appropriate technique to control congestion is of preeminent interest. This paper proposes a congestion controlling scheme with the optimal placement and sizing of the Distributed Generation (DG) so as to ensure an optimal power flow in the power system network. A multi-objective framework is formulated for the proposed approach considering the operating cost, Voltage Stability Index (VSI) and the system losses. A hybrid optimization technique is proposed involving Improved Genetic Algorithm (IGA) and Bat Algorithm (BA) to optimize the objectives proposed in this research. The efficiency of the proposed methodology is verified using IEEE 33 and 69 bus systems. A comparative analysis is established between the outcomes obtained with hybrid IGA-BA and Particle Swarm Optimization (PSO) technique. The output obtained clarifies that by combining IGA and BA, greater efficiency is achieved compared to the PSO algorithm output.

scholarly journals IGSA-FA for Optimal Placement of FACTS Devices

2019 ◽  
Vol 9 (2) ◽  
pp. 2056-2060
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Cost ◽  
Load Flow ◽  
Optimal Placement ◽  
Successful Implementation ◽  
Security Measures ◽  
Bus Voltage

With the globalization of power market by reducing the installation and operating cost of the power plant with profitable power flow controller leads to successful implementation of optimal power flow through optimal algorithms. Finding the solution of optimal load flow problem with non-linear equation such as Newton’s equation is one of the possible solution. However, applying Newton’s solution to OPF for finding convergence is a little bit tedious and time consuming affecting marginal losses by involving a number of inequalities present in the system. Transmission lines capacity and bus voltage limit are vital safety factors to carry out OPF in any power system The system being operational in normal state is equipped with security measures in order to discern that it is capable of resisting contingencies devoid of any limit contravention . To ensure a consistent power system function, it is essential that the safety of the system is duly accounted for in

scholarly journals A Fuzzy Based Evolutionary Algorithm for Solving Multiobjective Optimal Power Flow with FACTS Devices

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
R. Vanitha ◽  
J. Baskaran
Keyword(s):  
Power System ◽  
Differential Evolution ◽  
Goal Programming ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Technique ◽  
Fuzzy Goal Programming ◽  
Facts Devices ◽  
Optimal Power ◽  
Fuzzy Goal

A new Fuzzy Differential Evolution (FDE) algorithm is proposed for solving multiobjective optimal power flow with FACTS devices. This new optimization technique combines the advantages of Weighted Additive Fuzzy Goal Programming (WAFGP) and Differential Evolution (DE) in enhancing the capacity, stability, and security of the power system. As the weights used in WAFGP would have a significant impact on the operational and economical enhancements achieved in the optimization, they are optimized using evolutionary DE algorithm. This provides a way for exploring a balanced solution for a multiobjective problem without sacrificing any individual objective’s uniqueness and priority. The multiple objectives considered are maximizing the loadability condition of the power system with minimum system real power loss and minimum installation cost of the FACTS devices. Indian utility Neyveli Thermal Power Station (NTPS) 23 bus system is used to test the proposed algorithm using multiple FACTS devices. The results compared with that of DE based fuzzy goal programming (FGP) demonstrates that DE based WAFGP algorithm not only provides a balanced optimal solution for all objectives but also provides the best economical solution.

scholarly journals Optimal Placement of Unified Power Flow Controller by TOPSIS Method for Loss Minimization

2021 ◽  
Vol 10 (1) ◽  
pp. 126-131
Author(s):  
Million Alemayehu Bedasso* ◽  
R. Srinu Naik
Keyword(s):  
Power System ◽  
Power Flow ◽  
Reactive Power ◽  
Optimization Technique ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Power Losses ◽  
Active And Reactive Power ◽  
Flow Controller ◽  
Power Flow Controller

In order to eliminate active and reactive power losses in the power system, this paper proposes TOPSIS and DE algorithm for determining the best location and parameter settings for the Unified Power Flow Controller (UPFC). To mitigate power losses, the best UPFC allocation can be achieved by re-dispatching load flows in power systems. The cost of incorporating UPFC into the power system. As a consequence, the proposed objective feature in this paper was created to address this problem. The IEEE 14-bus and IEEE 30-bus systems were used as case studies in the MATLAB simulations. When compared to particle swarm optimization, the results show that DE is a simple to use, reliable, and efficient optimization technique than (PSO). The network's active and reactive power losses can be significantly reduced by putting UPFC in the optimum position determined by TOPSIS ranking method.

scholarly journals Optimal placement of grid-connected photovoltaic generators in a power system for voltage stability enhancement

2019 ◽  
Vol 13 (1) ◽  
pp. 339
Author(s):  
Zetty Adibah Kamaruzzaman ◽  
Azah Mohamed ◽  
Ramizi Mohamed
Keyword(s):  
Power System ◽  
Distribution System ◽  
Voltage Stability ◽  
Optimization Technique ◽  
Reducing Power ◽  
Stability Index ◽  
Optimal Location ◽  
Optimal Placement ◽  
Particle Swarm Optimization Technique ◽  
Photovoltaic Generators

The high penetration of photovoltaic (PV) generation can cause many technical issues such as power quality and impact on the power system voltage stability. To improve voltage stability and reducing power loss in a power system with PV generators, appropriate planning of PV generators is considered by optimal placement of PV. Thus, an effective heuristic optimization technique such as the Wind Driven Optimization (WDO) technique is applied for determining optimal location of PV generators in a power system. For determining the optimal location of PV, the objective function considers maximizing the Improved Voltage Stability Index. The proposed method for optimal location of PV generators is implemented on the IEEE 118 and 30 bus transmission systems and the 69-radial distribution system. The optimization results show that integrating PV into the test systems improves voltage stability in the system. Comparing the performance of the WDO with the particle swarm optimization technique, it is shown that the WDO technique gives faster convergence.

A Comparative Study of BAT and Firefly Algorithms for Optimal Placement and Sizing of Static VAR Compensator for Enhancement of Voltage Stability

2015 ◽  
Vol 4 (1) ◽  
pp. 68-84 ◽  
Author(s):  
B. Venkateswara Rao ◽  
G.V. Nagesh Kumar
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Stability Index ◽  
Bat Algorithm ◽  
Transmission System ◽  
Optimal Location ◽  
System Stability ◽  
Optimal Placement ◽  
Static Var Compensator ◽  
Facts Devices

Modern electric power utilities are facing many challenges due to increasing power demand but the growth of power generation and transmission has been limited due to limited resources, environmental restrictions and right-of-way problems. These problems can be minimized by installing Flexible Alternating Current Transmission System (FACTS) devices in modern electric utilities to optimize the existing transmission system. Most effective use of the FACTS devices depend on the fact, how these devices are placed in the power system, i.e. the location and size. An optimal location and size of FACTS devices allows controlling its power flows and thus enhances the stability and reliability of the power systems. In this paper, Firefly Algorithm (FA) and BAT Algorithm (BAT) have been applied and compared to determine the optimal location and size of Static VAR Compensator (SVC) in a power system to improve voltage stability subjected to minimize the active power losses, fuel cost, branching loading and voltage deviation. The effectiveness of the proposed algorithms and improvement of power system stability has been demonstrated on IEEE 57 bus system using fast voltage stability index. The results obtained with variation of parameters of Firefly and BAT Algorithms has been studied and compared with Genetic Algorithm. The results are presented and analyzed.

scholarly journals Optimal Power Flow with Facts Devices using Genetic Algorithm

2012 ◽  
pp. 173-179
Author(s):  
Aditya Tiwari ◽  
K. K. Swarnkar ◽  
S. Wadhwani ◽  
A. K. Wadhwani
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimization Technique ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Voltage Deviation ◽  
Ac Transmission

The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, reduces the cost of generation, and improves the stability also improves the load capability of the system. In this paper, a non-traditional optimization technique, genetic algorithm is used to optimize the various process parameters involved of FACTS devices in a power system The various parameter taken into the consideration were the location of the FACTS were their types and their rated value of the device. A genetic algorithm (GA) is simultaneously is used to minimize the total generation cost, and power loss/voltage deviation with in true and reactive power generation limits, Test results on the modified IEEE 30-bus system with various types of the FACTS controller The optimization results clearly indicates that the correct location of the FACTS devices will increase the loadability of the system and GA can be effectively used for this type of optimization.

scholarly journals Optimal Power Flow in Uncertain Power System

2020 ◽  
Vol 9 (3) ◽  
pp. 2312-2320
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Stability Index ◽  
Load Flow ◽  
Optimal Load ◽  
Increasing Demand ◽  
Index Value

Due to the increasing demand of electricity in ever-growing electricity market, it is necessary to observe the nature of load and map the effects of load uncertainties on the operation of power system. These uncertainties have also led to voltage instability which is sooner or later considered to be a fundamental cause of blackouts. The distributed generation sources can also be regarded as the source of uncertainties at the load ends of power systems. Along with the load uncertainties, wind turbine generation (WTG) and solar plants have also been used as a source of uncertainties in this paper. The load uncertainties have been incorporated in the system by designing a dynamic load flow program. Corresponding to all uncertain inputs critical case has been identified by the singularity property of load flow jacobian. For the optimal load flow a multi-objective optimization problem aiming to constrained objective function to enhance voltage stability, improve stability index value, reduce system losses and increase reactive reserve margins at generator buses has been formulated. Black hole algorithm has been used to achieve the optimal values of control variables and hence optimal load flow. The aforementioned problem has been tested on standard IEEE-14 bus system.

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