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Manteaw ED, Abungu NO. "Combined Economic and Emission Dispatch Solution Using ABC_PSO Hybrid Algorithm with Valve Loading Effect." International Journal of Scientific and Research Publications. 2012;2(12):1-9. Abstractijsrp-p1299.pdfClick here to read more...

The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is tested on a 10 generator test system with valve point effects. The results are compared with differential evolution (DE), Strength Pareto Evolutionary Algorithm (SPEA) and Non Sorting Genetic Algorithm (NSGA) and found to be effective on the combined economic and emission dispatch problem.

Manteaw ED, Abungu NO. "Multi-Objective Environmental/Economic Dispatch Solution Using ABC_PSO Hybrid Algorithm." International Journal of Scientific and Research Publications. 2012;2(12):1-7. Abstractijsrp-p1202.pdfClick here to read more...

The problem of power system optimization has become a deciding factor in current power system engineering practice with emphasis on cost and emission reduction. The economic and emission dispatch problem has been addressed in this paper using two efficient optimization methods, Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). A hybrid produced from these two algorithms is used on the 30-bus 6 generator IEEE test system. The results are compared with ABC, Fuzzy Controlled Genetic Algorithm (FCGA) and Non Sorting Genetic Algorithm (NSGA-II) and found to be effective on the combined
economic and emission dispatch problem.

Moses MP, Abungu NO, Mbuthia PMJ. "Solving The Active Distribution Network Reconfiguration (ADNR) Problem Taking Into Consideration A Stochastic Wind Scenario and Load Uncertainity By Using HBFDE Method." International Journal of Emerging Technology and Advanced Engineering. 2013;3(7):26-36. Abstractijetae_0713_05.pdfClick here to read more...

Past literature has attempted to solve the problem of network reconfiguration with Distributed Generators(DGs) without taking into consideration the intermittent renewable at a close proximity. Distribution Network Reconfiguration (ADNR) must account for uncertain behavior of loads and wind when the commercial wind based DG, Doubly Fed Induction Generators (DFIG) supports a significant part of network. In this paper, a new Hybrid Bacterial Foraging and Differential Evolution (HBFDE) algorithm is considered for the ADNR problem with minimum loss and an improved voltage profile. In the HBFDE algorithm the Differential Evolution (DE) algorithm is combined with the Bacterial Foraging (BF) algorithm to overcome slow and premature convergence of BF. Indeed, the proposed algorithm is based on the evolutionary natures of BF and DE, to take their advantage of the compensatory property, and avoid their corresponding drawbacks. In addition, to cope with the uncertainty behavior of loads and wind, a stochastic model is presented to solve the ADNR problem when the uncertainty related to wind and load forecast is modeled in a stochastic framework on scenario approach basis. The proposed algorithm is tested on the IEEE 33 - Bus Radial Distribution Test Systems. The results of the simulation show the effectiveness of proposed algorithm real time and real world optimization problems facing the smart grid.

Moses MP, Abungu NO. "Power Loss Reduction in the Active Distribution Network by Doubly Fed Induction Generator (DFIG) Placement and Sizing Using Ordinary Particle Swarm Optimization (PSO) and an Hybrid of Genetic Algorithm (GA) and PSO (HGAPSO)." International Journal of Emerging Technology and Advanced Engineering. 2013;3(7):26-36. Abstractijetae_0713_06.pdfClick here to read more...

Due to the increased importance of DFIGs in optimization of real and reactive power losses and the maintenance of voltage profile, the general methods of DG placement and sizing in the existing literature cannot be of practical importance in DFIG .In this paper a pure PSO method used in general DG is compared with a HGAPSO in the siting and sizing of DFIG with the objective of minimizing power losses .The corresponding Combined participation factors are assigned using the DFIG Domain Distributed Slack Bus Model and a comparison made on the two schemes of loss minimization. The obtained results for the real and reactive power losses and voltage voltage profile illustrate the DFIG need in the modern power system.

Moses MP, Abungu NO. "Distributed Slack Bus Model for a Wind-Based Distribution Generation using Combined Participation Factors." International Journal of Emerging Technology and Advanced Engineering. 2012;2(10):459-469. Abstractijetae_1012_80.pdfClick here to read more...

With the increased penetration of distributed generation into the power distribution system, the traditional
load flow analysis that assumes a single slack bus has become impractical. The existing literature focuses on slack bus placement taking only real power losses into place. However with increasing need of reactive power in maintaining voltage stability at the consumer end; reactive power generation management cannot
be ignored any further. Thus a distributed slack bus model taking into consideration both real and reactive power losses is of paramount importance. The wind based doubly fed induction generator is an attractive option for both real and reactive power loss compensation since it is economically attractive, can be grid
connected and it has the capability to generate and absorb reactive power. A distributed slack bus model
using combined participation factors is developed in this paper to distribute the slack(real and reactive power losses). The combined participation factors are formulated using the method of Lagrange
multipliers and the distributed slack bus model employs a Genetic Algorithm of a Newton Raphson Solver.

Moses MP, Abungu NO. "REDUCING REAL AND REACTIVE POWER LOSSES IN THE DISTRIBUTION SYSTEM BY DFIG PLACEMENT AND SIZING USING ORDINARY PSO AND HGAPSO : A COMPARISON." International Journal of Emerging Technology and Advanced Engineering. Forthcoming. Abstractijetae_paper_forthcoming_paper.pdf

Due to the increased importance of DFIGs in optimization of real and reactive power losses and the maintenance of voltage profile, the general methods of DG placement and sizing in the existing literature cannot be of practical importance in DFIG .In this paper a pure PSO method used in general DG is compared with a HGAPSO in the siting and sizing of DFIG with the objective of minimizing power losses. The corresponding Combined participation factors are assigned using the DFIG Domain Distributed Slack Bus Model and a comparison made on the two schemes of loss minimization.

Mwaniki C, Abungu NO, Wekesa CW. "Voltage Stability Improvement Using the 21st Century Power Transformer." International Institute for Science, Technology and Education. 2012;3(4):21-28. Abstract1505.pdfClick here to read more...

The 21st Century Power Transformer is produced by combining modern high voltage cross-linked polyethylene (XLPE) cable technology with conventional transformer. The technique of solid insulation is adopted in the new dry transformer so that the pollution from leakage of insulating oil can be avoided, and so XLPE cable-winding transformer is very suitable in environment sensitive places such as populous cities, hydropower stations, and underground caver and so on. This paper is meant to show that the marriage of the well-proven high voltage power cable technology with transformer technology sets a new standard in improving power system voltage stability.

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