i-manager's Journal on Power Systems Engineering (JPS)


Volume 5 Issue 1 February - April 2017

Research Paper

Effect of System Topology on Wind Generators Penetration Maximizationwith TCSCs Insertion

Almoataz Y. Abdelaziz*, Metwally A. El-Sharkawy**, Mahmoud A. Attia***
* Professor, Department of Electrical Power Engineering, Ain Shams University, Cairo, Egypt.
** Emeritus Professor, Department of Electric Power Engineering, Ain Shams University Cairo, Egypt.
*** Department of Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Abdelaziz, Y. A., El-Sharkawy, A. M., and Attia, A. M. (2017). Effect of System Topology on Wind Generators Penetration Maximization with TCSCs Insertion. i-manager’s Journal on Power Systems Engineering, 5(1), 1-9. https://doi.org/10.26634/jps.5.1.13532

Abstract

Wind generation penetration maximizing is an important issue in power systems. These increasing in wind penetration may badly affect the power system stability. In this paper, Thyristor-Controlled Series Compensation (TCSCs) devices are used to help wind penetration maximizing and also for studying the effect of system topology in that. Cases studied are carried out on modified IEEE 39 bus system with variable speed wind generator penetration increases by 50%, 100%, 150% and 170%. In each case of wind penetration increases, three cases in the system are tried, system without change, system with reduction of the impedance of the lines connected to wind generator by 50%, and change the location of wind generator to another location has more interconnection. Another case study is carried out on modified IEEE 39 bus system with fixed speed wind generator penetration increases by 50%, 100% and 150% respective of its generation. The system suffers from some violation in its parameters. Results found that series TCSCs devices in certain range are able to maximize wind penetration in power systems without violation in its indices.

Research Paper

A Novel Loss Distribution Strategy after Removing Slack Bus using ImprovedKinetic Gas Molecules Optimization Algorithm

D. Srilatha*, S. Sivanagaraju**
* Associate Professor, Department of Electrical and Electronics Engineering, Prakasam Engineering College, Kandukur, A.P., India.
** Professor, Department of Electrical and Electronics Engineering, University College of Engineering, JNTU Kakinada, Kakinada, A.P., India.
Srilatha, D., and Sivanagaraju, S. (2017). A Novel Loss Distribution Strategy after Removing Slack Bus using Improved Kinetic Gas Molecules Optimization Algorithm. i-manager’s Journal on Power Systems Engineering, 5(1), 10-25. https://doi.org/10.26634/jps.5.1.13533

Abstract

The modern power system analysis, operation and control use pneumatic solution methodologies to solve more realistic power system problems to enhance the operational aspects of power systems. The conventional load flow methods work independent of economic and environmental aspects and allocates total power losses to slack bus which increases the burden on this generator. In this paper, a novel methodology to remove extra generation by the slack and to optimize the system operation in economic and environmental aspects is presented. Further, a new hybrid optimization algorithm namely Improved Kinetic Gas Molecules Optimization (IKGMO) is presented to solve Optimal Power Flow (OPF) problem while satisfying system equality and inequality constraints. The effectiveness of optimization over the conventional load flow in loss allocation is tested on standard IEEE-14 bus and IEEE-30 bus test systems with supporting numerical and graphical results.

Research Paper

Optimization of Hybrid Renewable Energy Systems for Sustainable andEconomical Power Supply at SVCET Chittoor

Suresh Vendoti*, M. Muralidhar**, R. Kiranmayi***
* Research Scholar, Department of Electrical and Electronics Engineering, SVCET, Chittoor, India.
** Director and Professor, Department of Electrical and Electronics Engineering, SVCET, Chittoor, India.
*** Professor and Head, Department of Electrical and Electronics Engineering, JNTUA, Anantapuramu, India.
Vendoti, S., Muralidhar, M. and Kiranmayi, R. (2017). Optimization of Hybrid Renewable Energy Systems for Sustainable and Economical Power Supply at SVCET Chittoor. i-manager’s Journal on Power Systems Engineering, 1(1), 26-34. https://doi.org/10.26634/jps.5.1.13534

Abstract

Nowadays, the rising energy demand and the limited reserves of the conventional sources have raised the concerns of the researchers all around the globe to look for alternative resources. In addition to the increasing demand concerns, the environmental concerns have led to the emergence of green power technologies in the energy sector. Green power technologies include the power generation from clean and inexhaustible sources of solar energy, wind energy, hydro, biomass, etc. The main point of consideration, while designing the hybrid system, is the sizing of different components.

In this paper, a methodology has been developed for optimal planning of hybrid PV-Wind system with some battery backup. The local solar radiation, wind data and components database from different manufacturers are analyzed and simulated in Hybrid Optimization Model for Electric Renewable (HOMER) to assess the technical and economic viability of the integrated system. The system architecture, includes SUKAM PV System 200 KW, 10 number of Generic 10 kW Wind Generators, POWERICA Diesel Generator 250 KW, Battery Trojan IND17-6V model (6 V, 7.61kwh), and Converter 30 KW. This paper gives the design idea of optimized PV-Solar and Wind Hybrid Energy System for Sri Venkateswara College of Engineering and Technology (SVCET) at Chittoor, Electrical load over conventional electrical grid system for a particular site in South India (Chittoor). For this hybrid system, the meteorological data of Solar Insolation, hourly wind speed, are taken for Chittoor -South India (Latitude 13ο16.3'N and Longitude 79ο7.1'E) and the pattern of load consumption of SVCET electrical load data are studied and suitably modeled for optimization of the hybrid energy system using HOMER Pro 3.8.5 Software. This system is more cost effective and environmental friendly over the conventional grid system.

Review Paper

Computation of Available Transfer Capability in ElectricalTransmission System - A Review

Manjula S. Sureban*, Shekhappa G. Ankaliki**
* Research Scholar, Department of Electrical and Electronics Engineering, Visvesvaraya Technological University, Belgaum, India.
** Professor, Department of Electrical and Electronics Engineering, SDM College of Engineering and Technology, Dharwad, India.
Sureban, S. M., and Ankaliki, S. G. (2017). Computation of Available Transfer Capability in Electrical Transmission System - A Review. i-manager’s Journal on Power Systems Engineering, 5(1), 35-39. https://doi.org/10.26634/jps.5.1.13535

Abstract

The increasing demand for electricity in the recent decades had resulted in several problems in the normal operation of the power system. The transmission lines are forced to operate near their limits; critical components are going out of service and also the efficiency of transmission lines is reducing. To address all these issues, evaluation of transfer capability of transmission lines is important. Many deterministic and probabilistic methods are available for evaluation of transfer capability of transmission lines. On computing the available transfer capability of power system, the efficiency of the transmission lines can be evaluated and congestion management in the system is also possible. By knowing the efficiency of existing transmission lines, necessary steps can be initiated to improve the same and hence to operate the entire system more reliably and economically. This paper aims at discussing the fundamentals of ATC computation and reviewing various technical papers related to the same.

Survey Paper

A Survey on Demand Side Management In Electrical Power Systems

Ahmed M. Ibrahim*, Mahmoud A. Attia**, Mahmoud M. Othman***, Almoataz Y. Abdelaziz****
* Electrical Design Engineer, Engineering Consultants Group, Cairo, Egypt.
** Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo, Egypt.
*** Assistant Professor, Department of Electrical Power Engineering, Ain Shams University, Cairo, Egypt.
**** Professor, Department of Electrical Power Engineering, Ain Shams University, Cairo, Egypt.
Ibrahim, M. A., Attia, A. M., Othman, M. M., and Abdelaziz, Y. A. (2017). A Survey on Demand Side Management In Electrical Power Systems. i-manager’s Journal on Power Systems Engineering, 5(1), 40-50. https://doi.org/10.26634/jps.5.1.13536

Abstract

This paper presents a survey on Demand Side Management techniques used to reduce the energy waste, postpone the construction of new plants, reduce costs or electricity bill, and reduce total power demand during peak demand periods. One of the major goals of DSM is reducing consumption during peak hours and shifting load to off-peak hours. Several algorithms and techniques for load shifting have been reported in researches. Different approaches have been suggested to solve the demand response problem using linear and dynamic programming techniques. There are different types of optimization techniques as Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Evolutionary Algorithm (EA), Game theoretic techniques and others. Researches are performed on different optimization techniques to reduce peak load demand, reduce operational cost, reduce PAR (Peak to Average Ratio), and reduce the discrepancy between power supply and demand.