Optimal allocation of distributed generators DG based Manta Ray Foraging Optimization algorithm (MRFO)

In this thesis work we solve the problem of optimal placement and sizing of distributed generation by using an original Fuzzy Adaptive Particle Swarm Optimization algorithm and a Mixed Integer Linear Programming formulation of the problem. The goal of integrating Fuzzy Logic in Particle Swarm Optimization is to be able to overcome some of the classical disadvantages of the algorithm. Particle Swarm Optimization has been traditionally criticized for the complexity to set the acceleration constants of the algorithm and the low exploration capabilities of the algorithm. In this thesis work, it is proposed a new implementation of Particle Swarm Optimization that avoids the complex setting procedure of the acceleration constants of the algorithm, while aiming at improving the exploration capabilities of the algorithm. In this thesis work it is also analyzed a novel Mixed Integer Linear Programming formulation of the problem of optimal sitting of distributed generation in distribution networks implemented in DER- CAM, a tool developed at the Lawrence Berkeley National Laboratory. The results of the two models are analyzed and contrasted against each other for a real case study of an islanded microgrid located in the north of the U.S. Results obtained in the case study depict the differences between the two analyzed approaches to solve the problem. It is found that over and under estimations of voltage magnitudes in high and low loading scenarios of distribution networks have the potential to impact investment decisions in distributed generation capacity for the linear formulation of the problem. Also the models analyzed depict the synergies between renewable energy technologies and thermal generators to increase energy savings while maintaining the operation limits of the grid.

Optimal placement and sizing of distributed generation

Energy is indispensable to human existence and its need is on the increase daily due to technological advancement. In recent times, there is sporadic increase in the development of modern buildings, and these buildings require a cost effective and sustainable source of energy. Nigeria and some other African countries have major energy shortage issues due to the insufficient power generation and distribution facilities. This energy poverty creates a challenge for the growing population and as such, it is vital to ensure that the energy supplied to a building is duly optimized and delivered cost effectively. In this study, an energy audit of an eight floor multipurpose business complex was performed to determine the nature and type of loads within the building. Based on the load profile and energy consumption over a ten year period, three alternative energy sources (National grid, Diesel generator and PV system) were considered using various load sharing ratios. The result reveals that though PV solar system is a renewable energy source that reduces the production of greenhouse gases generated by burning diesel, but its continuous application in low middle income country like Nigeria may be challenged by the initial start-up capital which raises the cost of its unit energy.

https://tandfonline.com/doi/pdf/10.1080/23311916.2018.1546658

Energy audit and optimal power supply for a commercial building in Nigeria

The operational performance of a three phase induction motor is impaired by unbalanced voltage supply due to the generation of negative sequence currents, and negative sequence torque which increase motor losses and also trigger torque pulsations. In this study, data mining approach was applied in developing a predictive model using the historical, simulated operational data of a motor for classifying sample motor data under the appropriate type of voltage supply i.e. balanced (BV) and unbalance voltage supply (UB = 1% to 5%). A dataset containing the values of a three phase induction motor’s performance parameter values was analysed using KNIME (Konstanz Information Miner) analytics platform. Three predictive models; the Naive Bayes, Decision Tree and the Probabilistic Neural Network (PNN) Predictors were deployed for comparative analysis. The dataset was divided into two; 70% for model training and learning, and 30% for performance evaluation. The three predictors had accuracies of 98.649%, 100% and 98.649% respectively, and this confirms the suitability of data mining methods for predictive evaluation of a three phase induction motor’s performance using machine learning

https://ijpeds.iaescore.com/index.php/IJPEDS/article/download/15614/10885

Determining the operational status of a Three Phase Induction Motor using a predictive data mining model

http://www.cell.com/article/S2589004222004485/pdf

Affordable clean energy transition in developing countries: Pathways and technologies

Due to several benefits attached to distributed generators such as reduction in line losses, improved voltage profile, reliable system etc., the study on how to optimally site and size distributed generators has been on the increase for more than two decades. This has propelled several researchers to explore various scientific and engineering powerful simulation tools, valid and reliable scientific methods like analytical, meta-heuristic and hybrid methods to optimally place and size distributed generator(s) for optimal benefits. This study gives a critical review of different methods used in siting and sizing distributed generators alongside their results, test systems and gaps in literature.

Critical Review of Different Methods for Siting and Sizing Distributed-generators

Globally, there is a drive toward ensuring energy efficiency in all aspect of production operations and power supply systems. Industries are the backbone of our modern word, and a significant percentage of industrial operations are motor driven. Three Phase Induction Motor is massively deployed in industries due to its ruggedness, reasonable cost and ease of maintenance. The energy efficiency of the induction motor is affected by the internal configurations of the motor and the nature of the supply. Power supply fluctuations result in power quality issues and its attendant negative effects on equipment operation. This research, studies the cost and performance implication of the effects of balanced over voltage, balanced voltage, balanced under voltage and unbalance voltage on the operation of the three phase induction motor using the peculiarities of Nigeria. The result shows that, there is an increase in operational cost due to increased energy loss in the windings as a result of voltage variations from the balanced state, with balanced over voltage operation showing more cost severity among the voltage variations considered.

Cost implication of Line Voltage variation on Three Phase Induction Motor operation

Dataset on statistical analysis of jet A-1 fuel laboratory properties for on-spec into-plane operations.

Data based investigation of the energy metering type, billing and usage of sampled residents of Ota Community in Nigeria.

Soil layer resistivity modelling is a vital component of grounding system design. Grounding system for facility, equipment, power station and general system protection purposes must be designed to be able to handle the anticipated level of fault current. To achieve this; the earth rods, mats and any other equivalent alternatives deployed must be adequately sized in terms of the physical dimensions and the number of such rods required in order to achieve the desired low, overall grounding system resistance. The resistance to earth of a grounding system is a function of the resistivity of the soil in concern, and to ensure appropriate design, the resistivity profile of the soil must be determined via appropriate soil modelling. This paper presents a Monte Carlo simulation approach to two layer soil modelling using the square error as an optimization function. The result of the simulation shows an improvement in model accuracy, and it also conforms significantly with the results of published works that applied genetic algorithm.

Tobi Shomefun

Papers

Critical Review of Different Methods for Siting and Sizing Distributed-generators

Cost implication of Line Voltage variation on Three Phase Induction Motor operation

Dataset on statistical analysis of jet A-1 fuel laboratory properties for on-spec into-plane operations.

Data based investigation of the energy metering type, billing and usage of sampled residents of Ota Community in Nigeria.

Monte Carlo Simulation Approach to Soil Layer Resistivity Modelling for Grounding System Design