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


Volume 5 Issue 3 August - October 2017

Research Paper

Efficiency and Investment Comparison of Monocrystalline, Polycrystalline, and Thin Film Solar Panel Types at Karabuk Conditions

Mehmet ��zkaymak*, Abd�?lsamed Tabak**, Ahmet Canan***, Mehmet Volkan Aksay****, ��zg�?r Inan̤*****, ��mm�? G�?ls�?m Eruz******
* Professor, Department of Energy Systems Engineering, Karabük University, Karabük, Turkey.
**-***** Research Assistant, Department of Energy Systems Engineering, Karabük University, Karabük, Turkey.
****** Ph.D. Scholar, Department of Energy Systems Engineering, Karabük University, Karabük, Turkey.
Özkaymak, M., Tabak, A., Canan, A., Aksay, M. V., Inanç, Ö., and Eruz, Ü. G. (2017). Efficiency and Investment Comparison of Monocrystalline, Polycrystalline, and Thin Film Solar Panel Types at Karabuk Conditions. i-manager’s Journal on Power Systems Engineering, 5(3), 1-9. https://doi.org/10.26634/jps.5.3.13666

Abstract

Within the scope of this study, the efficiency of Monocrystalline, polycrystalline, and thin film photovoltaic panels have been experimentally investigated in Karabük conditions. In the frame of the research, the efficiencies of the panels have been compared by using the amount of incoming radiation, current, voltage, and the amount of power generated by the panel. When the datasheets of panels are viewed, efficiency comparison has seen as monocrystalline, polycrystalline, and thin film, respectively. According to the experiments made, while the efficiency of monocrystalline panel at 250 Watt varies between 12-16%; the efficiency of polycrystalline panel increase nearly 21% based on the amount of radiation; whereas it has been seen that, the efficiency of thin film couldn't exceed nearly 5%. During the measurements, if the air temperature is considered between 30-35 oC, the efficiency of thin film estimated will be low. In Turkey conditions, when the unit price of these panels is considered, using polycrystalline panel for the investments seems much more attractive. As the efficiencies of thin film are low, it has been the last one in comparison. When it is considered that, the investors especially hesitate between polycrystalline and monocrystalline panels, experimental results give a reasonable answer.

Research Paper

Sine Cosine Algorithm for Loss Reduction in Distribution System with Unified Power Quality Conditioner

M. Laxmidevi Ramanaiah*, M. Damodar Reddy**
* Research Scholar, Department of Electrical and Electronics Engineering, Sri Venkateswara. University, Tirupati, Andhra Pradesh, India.
** Professor, Department of Electrical and Electronics Engineering, Sri Venkatesswara University, Tirupati, Andhra Pradesh, India.
Ramanaiah, M. L., and Reddy, M. D. (2017). Sine Cosine Algorithm for Loss Reduction in Distribution System with Unified Power Quality Conditioner. i-manager’s Journal on Power Systems Engineering, 5(3), 10-16. https://doi.org/10.26634/jps.5.3.13667

Abstract

This paper presents a novel concept of Unified Power Quality Conditioner (UPQC). In steady state conditions, the series compensator is in idle mode and the shunt compensator is involved in reactive power compensation. This paper addresses the reactive power compensation capability of both the compensators in steady state conditions. The problem of UPQC placement is formulated as a single objective problem. UPQC allocation in the distribution system is addressed by Sine Cosine Algorithm (SCA) with the objective of minimizing the losses and improving the voltage profile. Suitable Load Flow method is applied to incorporate the complex voltage and reactive power injected by the series and shunt compensator, respectively. The proposed algorithm is tested on standard distribution systems.

Research Paper

Optimizing Load Dispatch using Flower Pollination Algorithm Technique

Saurabh Yadav*, S. K. Gupta**
* PG Scholar, Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India.
** Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India.
Yadav, S., and Gupta, S. K. (2017). Optimizing Load Dispatch using Flower Pollination Algorithm Technique. i-manager’s Journal on Power Systems Engineering, 5(3), 17-23. https://doi.org/10.26634/jps.5.3.13668

Abstract

For the operational planning of power system, Economic Load Dispatch (ELD) problem is to be optimized. This paper presents an effective and reliable Flower Pollination Algorithm (FPA) technique for the economic load dispatch problem. Flower Pollination Algorithm is applied to determine the optimal schedule of power generation in a thermal power system. The results are calculated using the ELD of standard 3-generator and 6-generator systems with all the equality and inequality constraints. It is found that the results obtained by using the FPA technique are better than the conventional technique and the Particle Swarm Optimization (PSO) in terms of fuel cost and computation time.

Research Paper

A Modified BFOA Approach for Optimal Location and Sizing of Facts for Enhancing Power System Security

T. N. V. L. N. Kumar*, R. V. S. Satyanarayana**
*Professor and Head, Department of Electrical and Electronics Engineering, Geethanjali Institute of Science and Technology, Nellore, India.
** Professor, Department of Electronics and Communication Engineering, Sri Venkateswara University College of Engineering, Tirupati, India.
Kumar, T. N. V. L. N., and Satyanarayana, R. V. S. (2017). A Modified BFOA Approach for Optimal Location and Sizing of Facts for Enhancing Power System Security. i-manager’s Journal on Power Systems Engineering, 5(3), 24-33. https://doi.org/10.26634/jps.5.3.13669

Abstract

Power system planners have come to rely on FACTS devices to overcome several operational limitations in terms of thermal stability, voltage stability, and other inherent limitations offered by the transmission lines. One important aspect that has always intrigued the power system planners and researches alike is in regard to the location and sizing of FACTS devices. This work aims to address this intriguing question by identifying the optimal location and size of the Static Var Compensator (SVC). The optimal location and size is proposed to be identified by optimizing the multi-objective function, formulated by different factors that define the system security, namely Voltage Deviation, System Overload, and Real Power Losses. The multi-objective optimization function has been optimized using a Modified Bacterial Foraging Optimization Algorithm (MBFOA). The results are presented and analysed for an IEEE 30 bus test system.

Research Paper

Analysis of Optimal Size and Location of Distributed Generation for Various Inertia Weights using IPSO Algorithm

Lavanya Nalla*, N. Prema Kumar**
* PG Scholar, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.
** Professor, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.
Nalla, L., and Navuri, P. K. (2017). Analysis of Optimal Size and Location of Distributed Generation for Various Inertia Weights using IPSO Algorithm. i-manager’s Journal on Power Systems Engineering, 5(3), 34-40. https://doi.org/10.26634/jps.5.3.13670

Abstract

This paper presents multi objective optimization in Radial Distribution System (RDS). Optimal size and location of Distributed Generation (DG) plays an important role in reduction of real power loss and voltage improvement in RDS. The optimal location of DG will give system reliability and stability, and which leads to improved performance of the system. The proposed PSO method is introduced by various inertia weights strategies and carried out through inertia weighted Particle Swarm Optimization (IPSO) by considering technical aspects. The technical indices real power index, reactive power index, and voltage profile index are discussed over here. These indices are analysed with various inertia weight strategies and how they impact the DG size and DG location. This approach is tested on standard IEEE 33 bus system.