scholarly journals Genetic Algorithm Based Optimal Placement of T csc and Upfc in the Nigeria 330KV Integrated Transmission Line Network at Different Reactive Power Loadings

2013 ◽  
Vol 6 (5) ◽  
pp. 82-89
Author(s):  
O. Eseosa ◽  
◽  
U. Roland ◽  
Keyword(s):  
Genetic Algorithm ◽  
Transmission Line ◽  
Reactive Power ◽  
Optimal Placement ◽  
Line Network

scholarly journals Optimal Sizing and Placement of Capacitor Banks in Distribution Networks Using a Genetic Algorithm

Electricity ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 187-204
Author(s):  
Gian Giuseppe Soma
Keyword(s):  
Genetic Algorithm ◽  
Electricity Market ◽  
Distribution Systems ◽  
Reactive Power ◽  
Electricity Consumption ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Capacitor Banks ◽  
Control Pattern ◽  
Definition Of

Nowadays, response to electricity consumption growth is mainly supported by efficiency; therefore, this is the new main goal in the development of electric distribution networks, which must fully comply with the system’s constraints. In recent decades, the issue of independent reactive power services, including the optimal placement of capacitors in the grid due to the restructuring of the electricity industry and the creation of a competitive electricity market, has received attention from related companies. In this context, a genetic algorithm is proposed for optimal planning of capacitor banks. A case study derived from a real network, considering the application of suitable daily profiles for loads and generators, to obtain a better representation of the electrical conditions, is discussed in the present paper. The results confirmed that some placement solutions can be obtained with a good compromise between costs and benefits; the adopted benefits are energy losses and power factor infringements, taking into account the network technical limits. The feasibility and effectiveness of the proposed algorithm for optimal placement and sizing of capacitor banks in distribution systems, with the definition of a suitable control pattern, have been proved.

scholarly journals IMPROVE THE EFFICIENCY OF THE POWER TRANSMISSION SYSTEM USING THE GENETIC ALGORITHM TO DETERMINE THE OPTIMUM LOCATION AND FACTS DEVICES

2020 ◽  
Vol 21 (2) ◽  
pp. 133-142
Author(s):  
Husam Hasan Mohammed ◽  
Hiba Zuhair Abdul Kareem ◽  
Wafaa Mohammed Ridha Ridha
Keyword(s):  
Genetic Algorithm ◽  
Reactive Power ◽  
Rapid Development ◽  
Energy System ◽  
Transmission System ◽  
Operating Conditions ◽  
Transmission Capacity ◽  
Optimal Placement ◽  
Reactive Control ◽  
Facts Devices

 As the world's energy consumption increases, the expansion of the energy system becomes increasingly important. However, the creation of new transmission lines requires excessive costs and time if the same transmission capacity is to be added to the existing network. Today's electrical networks are faced with high risks of voltage instability and real power losses. This development tends to occur due to the lack of reactive control power (RPL) in heavily stressed operating conditions caused by increased demand for loads and the rapid development of power systems worldwide. This paper has adopted the setting of FACTS (flexible AC transmission system) devices as additional control parameters for reducing transmission losses in power system static types of two FACTS devices consisting of SVC (static VAR compensators) while the TCSC (thermistor controlled series compensator) is included in the issue formulation. During this paper, the proposed algorithm was to determine the optimal placement of power network devices by genetic algorithm to manage reactive power, reduce losses, increase the transmission capacity and power lines, and help simulate the IEEE 24 bus control system and also the position of FACTS devices. ABSTRAK: Apabila penggunaan tenaga dunia semakin meningkat, penambahan sistem tenaga sangat penting. Walau bagaimanapun, penciptaan talian penghantaran terkini memerlukan kos yang berlebihan dan had masa jika kapasiti penghantaran yang sama digunakan dengan lebih tinggi. Dalam rangkaian elektrik hari ini, unit ini berhadapan dengan risiko ketidakstabilan voltan dan putus bekalan tenaga. Penambahan sistem tenaga ini cenderung berlaku disebabkan kekurangan kuasa kawalan reaktif (RPL) dalam keadaan beban operasi yang besar disebabkan oleh peningkatan beban permintaan dan perkembangan pesat sistem kuasa di seluruh dunia. Kertas ini telah mengguna pakai peranti FACTS (sistem penghantaran AC fleksibel) sebagai parameter kawalan tambahan bagi mengurangkan kehilangan penghantaran dalam sistem kuasa statik dua peranti FACTS yang terdiri daripada SVC (pemampas VAR statik) manakala TCSC (pemampas siri termistor kawalan) adalah termasuk dalam perumusan isu. Dalam kertas kerja ini, algoritma yang dicadangkan adalah penempatan optimum peranti rangkaian kuasa oleh algoritma genetik bagi mengurus kuasa reaktif juga mengurangkan kerugian dan meningkatkan kapasiti penghantaran dan kabel elektrik dan membantu menyerupai sistem kawalan bas IEEE 24 dan juga kedudukan peranti FACTS di mana ia terbukti berkesan.

scholarly journals Optimal location of unified power flow controller genetic algorithm based

2020 ◽  
Vol 11 (2) ◽  
pp. 886
Author(s):  
Sana Khalid Abdul Hassan ◽  
Firas Mohammed Tuaimah
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Power System ◽  
Transmission Line ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimal Location ◽  
Power Losses

<p>Now-a-days the Flexible AC Transmission Systems (FACTS) technology is very effective in improving the power flow along the transmission lines and makes the power system more flexible and controllable. This paper deals with overload transmission system problems such as (increase the total losses, raise the rate of power generation, and the transmission line may be exposed to shut down when the load demand increase from the thermal limit of transmission line) and how can solve this problem by choosing the optimal location and parameters of Unified Power Flow Controllers (UPFCs). which was specified based on Genetic Algorithm (GA) optimization method, it was utilized to search for optimum FACT parameters setting and location based to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. MATLAB was used for running both the GA program and Newton Raphson method for solving the load flow of the system The proposed approach is examined and tested on IEEE 30-bus system. The practical part has been solved through Power System Simulation for Engineers (PSS\E) software Version 32.0 (The Power System Simulator for Engineering (PSS/E) software created from Siemens PTI to provide a system of computer programs and structured data files designed to handle the basic functions of power system performance simulation work, such as power flow, optimal power flow, fault analysis, dynamic simulations...etc.). The Comparative results between the experimental and practical parts obtained from adopting the UPFC where too close and almost the same under different loading conditions, which are (5%, 10%, 15% and 20%) of the total load. can show that the total active power losses for the system reduce at 69.594% at normal case after add the UPFC device to the system. also the reactive power losses reduce by 75.483% at the same case as well as for the rest of the cases. in the other hand can noted the system will not have any overload lines after add UPFC to the system with suitable parameters.</p>

scholarly journals Optimalisasi Penempatan UPFC Pada Sistem Jawa Bali 500kv Menggunakan Algoritma Genetika

2018 ◽  
Vol 2 (1) ◽  
pp. 42-47
Author(s):  
Danu Firmansyah ◽  
Istiyo Winarno
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Transmission Line ◽  
Power Flow ◽  
Reactive Power ◽  
Total Loss ◽  
Electrical Transmission ◽  
Channel Power ◽  
Power Injection ◽  
Genetic Algorithm Method

The transmission network is an important part of the power system to deliver electrical energy from the power  plant to the load, therefore the power system must be maximized to achieve optimal power flow, Unified Power Flow Control (UPFC) is one of the Flexible AC Transmission System (FACTS ) capable of controlling the power of the transmission line separately on electrical transmission and can be mounted on both the sender and the receiving end of the power. The UPFC power injection model to the transmission line is made in a power flow equation. In the Java Bali (Jali) 500 kV system analyzed by the Genetic Algorithm method, to produce a power injection  that  minimizes  the  active  and  reactive power losses of the transmission line without exceeding the UPFC device limit. In the Java Bali (Jali) 500 kV system analyzed by Genetic Algorithm method, the optimum UPFC value of Reactive Power injected  to  the  system for  bus  39  is  9695.593207MVar, bus 15 is 10598.78754 MVar, and on bus 37 is10755.88608 MVar. The total loss of channel power on  the  system  prior  to  installation  of  UPFC  is1815.775809 MW, while the total loss of channel power in the system after installing UPFC with GA is1537.391648 MW.

scholarly journals Transient Stability Improvement on Jos – Gombe 330kV Line Using Static Var Compensator

2019 ◽  
pp. 1-7
Author(s):  
Joseph F. Udo ◽  
Maruf A. Aminu
Keyword(s):  
Transmission Line ◽  
Power Flow ◽  
Transient Stability ◽  
Reactive Power ◽  
Optimal Placement ◽  
Eastern Region ◽  
Static Var Compensator ◽  
Transmission Grid ◽  
Reactive Power Flow ◽  
The Impact

In this paper, the result of a study carried out to determine the impact of static VAr compensator on voltage profiles and reactive power flow in the Nigerian 330kV transmission grid network is presented. The research seeks to mitigate the challenge of high reactive power on Jos – Gombe 330kV single circuit transmission line. The high reactive power is produced in that axis as a result of low industrial demand in the North-Eastern region of Nigeria which results in low-inductive loading of the long transmission line that spans from Jos to Gombe and its extension to Yola, Damaturu and Maiduguri. The study also performed optimal placement of the static VAr compensator in the area where it can influence the voltage at the static VAr compensator device connection point by controlling the reactive power flow through the grid. This was accomplished by modeling the existing 330kV Nigerian network in DIgSILENT PowerFactory. The result is an improved power stability on the line between Jos and Gombe. The voltage tolerance with the approved Nigerian Grid Code and compliance was ensured. Also, the static VAr compensator was proposed over reactors due to the fact that it is dynamically switched.

scholarly journals Embedding quasi-static time series within a genetic algorithm for stochastic optimization: the case of reactive power compensation on distribution systems

2020 ◽  
Vol 7 (2) ◽  
pp. 177-194
Author(s):  
Juan M Lujano-Rojas ◽  
Ghassan Zubi ◽  
Rodolfo Dufo-López ◽  
José L Bernal-Agustín ◽  
José L Atencio-Guerra ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Time Series ◽  
Distribution System ◽  
Distribution Systems ◽  
Reactive Power ◽  
Optimization Method ◽  
Reactive Power Compensation ◽  
Optimal Placement ◽  
Computational Time ◽  
Time Required

Abstract This paper presents a methodology for the optimal placement and sizing of reactive power compensation devices in a distribution system (DS) with distributed generation. Quasi-static time series is embedded in an optimization method based on a genetic algorithm to adequately represent the uncertainty introduced by solar photovoltaic generation and electricity demand and its effect on DS operation. From the analysis of a typical DS, the reactive power compensation rating power results in an increment of 24.9% when compared to the classical genetic algorithm model. However, the incorporation of quasi-static time series analysis entails an increase of 26.8% on the computational time required.

Flexible Genetic Algorithm Based Optimal Power Flow of Power Systems

2018 ◽  
Vol 24 (3) ◽  
pp. 84
Author(s):  
Hassan Abdullah Kubba ◽  
Mounir Thamer Esmieel
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Test System ◽  
Multi Objective ◽  
Optimal Power ◽  
Blending Method ◽  
Real Coded Genetic Algorithm

Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real output power of each generator bus and reactive power of each generator bus within their limits. The proposed method in this thesis is the Flexible Continuous Genetic Algorithm or in other words the Flexible Real-Coded Genetic Algorithm (RCGA) using the efficient GA's operators such as Rank Assignment (Weighted) Roulette Wheel Selection, Blending Method Recombination operator and Mutation Operator as well as Multi-Objective Minimization technique (MOM). This method has been tested and checked on the IEEE 30 buses test system and implemented on the 35-bus Super Iraqi National Grid (SING) system (400 KV). The results of OPF problem using IEEE 30 buses typical system has been compared with other researches.     

Voltage Stability Enhancement with Optimal Placement of IPFC

2019 ◽  
Vol 8 (4) ◽  
pp. 9465-9471
Keyword(s):  
Transmission Line ◽  
Objective Function ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Test System ◽  
Optimal Location ◽  
Optimal Placement ◽  
Utilization Factor ◽  
Location Selection ◽  
Multi Objective

This paper presents a novel technique based on Cuckoo Search Algorithm (CSA) for enhancing the performance of multiline transmission network to reduce congestion in transmission line to huge level. Optimal location selection of IPFC is done using subtracting line utilization factor (SLUF) and CSA-based optimal tuning. The multi objective function consists of real power loss, security margin, bus voltage limit violation and capacity of installed IPFC. The multi objective function is tuned by CSA and the optimal location for minimizing transmission line congestion is obtained. The simulation is performed using MATLAB for IEEE 30-bus test system. The performance of CSA has been considered for various loading conditions. Results shows that the proposed CSA technique performs better by optimal location of IPFC while maintaining power system performance

Sign in / Sign up

Export Citation Format

Share Document