Log-normal based mutation evolutionary programming technique for solving economic dispatch problem considering loss minimization

Electricity delivery to the consumer should be implemented in such a way that, cost is minimal, loss is minimal and voltage is within the acceptable limit. In general, the voltage level should be within 95% to 105% of the nominal limit in accordance to most international standard within the power engineering community. This phenomenon is addressed as secure voltage level. The dispatch of electricity is controlled by a dispatch body of the utility in a country. Economic dispatch requires a reliable optimization technique so loss is minimal. This paper presents Log-Normal Evolutionary Programming (LNEP) technique for solving Economic Dispatch (ED) problem considering loss minimization. Validations on the IEEE 6-bus and IEEE 26-bus test systems demonstrated that LNEP is feasible and convincing is addressing the issues. It was revealed that the proposed LNEP gives better solution to solve ED problem than the Classical EP and traditional load flow.Keywords: economic dispatch; evolutionary programming, optimizatio

Oscillatory Stability Prediction Using PSO Based Synchronizing and Damping Torque Coefficients

This paper presents the assessment of stability domains for the angle stability condition of the power system using Particle Swarm Optimization (PSO) technique. An efficient optimization method using PSO for synchronizing torque coefficients Ks and damping torque coefficients Kd to identify the angle stability condition on multi-machine system. In order to accelerate the determination of angle stability, PSO is proposed to be implemented in this study. The application of the proposed algorithm has been justified as the most accurate with lower computation time as compared to other optimization techniques such as Evolutionary Programming (EP) and Artificial Immune System (AIS). Validation with respect to eigenvalues determination, Least Square (LS) method and minimum damping ratio ξmin confirmed that the proposed technique is feasible to solve the angle stability problems

Performance comparison of distributed generation installation arrangement in transmission system for loss control

Placing Distributed Generation (DG) into a power network should be planned wisely. In this paper, the comparison of having different installation arrangement of real-power DGs in transmission system for loss control is presented. Immune-brainstorm-evolutionary programme (IBSEP) was chosen as the optimization technique. It is found that optimizing fixed-size DGs locations gives the highest loss reduction percentage. Apart from that, scattered small-sized DGs throughout a network minimizes transmission loss more than allocating one biger-sized DG at a location

Chaotic local search based algorithm for optimal DGPV allocation

The advent of advanced technology has led to the increase of electricity demand in most countries in the world. This phenomenon has made the power system network operate close to the stability limit. Therefore, the power utilities are looking forward to the solution to increase the loadability of the existing infrastructure. Integration of renewable energy into the grid such as Distributed Generation Photovoltaic (DGPV) can be one of the possible solutions. In this paper, Chaotic Mutation Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of DGPV. The chaotic local search has the capability of finding the best solution by increasing the possibility of exploring the global minima. The proposed technique was applied to the IEEE 30 Bus RTS with variation of load. The simulation results are compared with Evolutionary Programming (EP)  and it is found that CMIEP performed better in most of the cases

Index-based placement and distributed generation sizing based on heuristic search

Transmission loss, voltage regulation and voltage drop are three main issues in distribution system. In recent years, distributed generations (DG) installation approaches have been addressed widely in many parts of the world. Depending on their operating characteristics and location, DG can significantly affect the power losses and voltage profile in distribution system. Thus, prior to the installation of DG into a system, offline study is a priori so that under-compensation and over-compensation can be avoided. This paper presents a method for DG placement based on a voltage stability index, while its sizing is optimally identified using an optimization technique in order to minimize power losses in the distribution system. The proposed technique was tested on an IEEE 10 radial distribution system. As for the DG sizing, an optimization technique based on approximate method (AM) is used and indicated promising results

Optimal Reactive Power Dispatch for Voltage Stability Improvement Considering Line Contingencies using PSO

This paper presents a swarm intelligence algorithm for monitoring and improving voltage stability in power system considering a contingency conditions; line outage. The Static Voltage Stability Index(SVSI) was used as the monitoring tools and as the objective function for the developed optimization technique. This index uses information on a normal load flow and is in the range of 0 (zero load) to 1(system collapse). The proposed algorithm gives an optimal setting of control devices such as switchable VAR compensator and able to minimize total transmission losses, improved voltage stability and increase voltage profile of the system. The effectiveness of the proposed technique was validated on standard IEEE 30-bus Reliability Test System (RTS). The simulations results are compared with those obtained from the Evolutionary Programming (EP) technique in the attempt to highlight its merit

Retracted: Improved swarm evolutionary-programming technique for voltage control in power system

This article was withdrawn and retracted by the Journal of Fundamental and Applied Sciences and has been removed from AJOL at the request of the journal Editor in Chief and the organisers of the conference at which the articles were presented (www.iccmit.net). Please address any queries to [email protected]

Retracted: Reliability assessment of composite generation expansion planning considering wind turbine

This article was withdrawn and retracted by the Journal of Fundamental and Applied Sciences and has been removed from AJOL at the request of the journal Editor in Chief and the organisers of the conference at which the articles were presented (www.iccmit.net). Please address any queries to [email protected]