Performance of Condensate-Vacuum-and-Extraction Pump of BSP with Process Optimization and Optimum Neural Network based Learning System

Volume 6 Issue 3 August - October 2018

Research Paper

Performance of Condensate-Vacuum-and-Extraction Pump of BSP with Process Optimization and Optimum Neural Network based Learning System

Sanjeev Karmakar*, Gyan Ranjan Biswal**

* Associate professor, Bhilai Institute of Technology , Bhilai House, Durg, Chhattisgarh, India.

** Assistant Professor, Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India.

Karmakar, S., and Biswal, R.G (2018). Performance of Condensate-Vacuum-and-Extraction Pump of BSP with Process Optimization and Optimum Neural Network based Learning System. i-manager’s Journal on Power Systems Engineering, 6(3), 15-25. https://doi.org/10.26634/jps.6.3.15305

Abstract

Surface condenser of a power generation plant experiences maximum loss in thermal efficiency (in terms of electrical power output), typically more than 40% of the total generation capacity. The manuscript brings a novel Control and Instrumentation (C&I) approach to enhance the performance of surface condensing unit along with the design issues. This paper presents a control algorithm to get better performance of surface condensation section. The system is designed for maintaining levels of the optimal selection of condensate vacuum pump and condensate extraction pump to minimize the pressure loss involved with the system/section. The work includes a comparison between all the systems presented for system reliability. The 3-parameters Weibull distribution function is uniquely considered for evaluating the design issues of condenser module. It includes the location parameter for identification of faults and execution of operation in real-time. In addition, a process learning system is developed to enhance the performance supervision of the surface condenser in real-time. Effectiveness of the proposed model is validated on real-time automation platform based on specifications of IEEE C37.1-2007, IEC 61131-3 and IEEE 1413-2010.

Impacts of Micro-grid and DG on Radial Distribution Network

Volume 6 Issue 3 August - October 2018

Research Paper

Impacts of Micro-grid and DG on Radial Distribution Network

Rohit Nandi *, Rahul Pathak**

* _** Assistant Professor, Dr. Akhilesh Das Gupta Institute of technology and Management, Shastri park, New Delhi, India.

Nandi, R., and Pathak, R. (2018). Impacts of Micro-grid and DG on Radial Distribution Network. i-manager’s Journal on Power Systems Engineering, 6(3), 7-14. https://doi.org/10.26634/jps.6.3.15500

Abstract

Micro-grid and DG (Distributed generator) plays a crucial role in modern power systems. The large network of any power system ends at distribution side where high current and low voltage level is suitable for operation. This paper briefly describes about different type of DG system and micro-grid components. It covers brief idea about micro-grid controlling scheme and its mode of operation. The effect of external power source and its impacts on load flow study have been demonstrated on IEEE 33 bus radial distribution system. The techniques used for selection and allocation of DG have been mentioned and used analysis based on proposed radial distribution model. The variation of parameters (i.e. voltage and active power loss) after introduction of external active power units have been represented in this paper

Correction of Power Factor and Balancing of 3 Phase Unbalanced Load

Volume 6 Issue 3 August - October 2018

Research Paper

Correction of Power Factor and Balancing of 3 Phase Unbalanced Load

S. G. Ankaliki*, Akshay Hegde**, Sanjeeth Amminabhavi ***

* Professor & Head, Department of Electrical & Electronics Engineering, SDM College of Engineering and Technology, Dharwad, India.

**_*** PG Scholar, Department of Electrical & Electronics Engineering,SDM College of Engineering and Technology, Dharwad, India.

Ankaliki, G. S., Hegde, A., and Amminabhavi, S. (2018). Power Factor Correction and Balancing of Unbalanced Load. i-manager’s Journal on Power Systems Engineering, 6(3), 1-6. https://doi.org/10.26634/jps.6.3.15482

Abstract

This paper presents correction of power factor and balancing of three phase unbalanced load. The analytical way of correction of power factor and balancing the three phase unbalanced delta connected load is carried out. The analytical results are compared with Matlab simulation results. Simulated results reveal that after correction of power factor and balancing of three phase unbalanced load, all three supply currents are in phase with their respective phase voltages and equal in magnitude resulting in a balanced load on supply system.

Design and Development of Smart Power Module for Reliable Power Supply with Power Quality Feature

Volume 6 Issue 2 May - July 2018

Research Paper

Design and Development of Smart Power Module for Reliable Power Supply with Power Quality Feature

S. Narasimha*, B. Jhansi Rani**

* Professor and Head, Department of Electrical and Electronics Engineering, TKR College of Engineering and Technology (Autonomous), Hyderabad, Telangana, India.

** PG Scholar, Department of Electrical and Electronics Engineering, TKR College of Engineering and Technology (Autonomous), Hyderabad, Telangana, India.

Narasimha, S., and Rani, B. J. (2018). Design and Development of Smart Power Module for Reliable Power Supply with Power Quality Feature. i-manager’s Journal on Power Systems Engineering, 6(2), 37-44. https://doi.org/10.26634/jps.6.2.15107

Abstract

Electrical power demand has been increasing day by day in the all areas, where efforts are made to reach the power demand using conventional and nonconventional sources. The main objective of this paper is to provide uninterruptable quality power supply to the customers by selecting the supply from renewable energy sources such as battery bank and local grid. Initially, the load gets power supply from the renewable energy sources (solar, wind), and in its absence it automatically switches over to the local grid supply or to the battery bank. Therefore, the proposed smart power module can improve the system performance and efficiency with low cost, no pollution, and noise presented in this paper. The functions that are displayed on the LCD, has been designed, examined in real time environment and evaluated for the 5 kW load in MATLAB/Simulink environment.

Parallel Operation of Two Single-Phase Rectifiers with Three-Phase Inverter by Implementing Generalized SVPWM

Volume 6 Issue 2 May - July 2018

Research Paper

Parallel Operation of Two Single-Phase Rectifiers with Three-Phase Inverter by Implementing Generalized SVPWM

Srinivas Singirikonda*, Geetha Chapal**

* Assistant Professor, Department of Electrical and Electronics Engineering, TKRCET, JNTUH, Hyderabad, India.

** M.Tech Scholar, Department of Electrical and Electronics Engineering, TKRCET, JNTUH, Hyderabad, India.

Singirikonda, S., and Chapal, G. (2018). Parallel Operation of Two Single-Phase Rectifiers with Three-Phase Inverter by Implementing Generalized SVPWM. i-manager’s Journal on Power Systems Engineering, 6(2), 28-36.https://doi.org/10.26634/jps.6.2.15060

Abstract

In this paper, a parallel five-leg (P5L) operation of two single-phase rectifiers with three-phase inverter by implementing generalized Space Vector Pulse Width Modulation (SVPWM) is proposed, consisting of two parallel 1-phase half-bridge rectifiers with shared leg. This configuration facilitates the continuity of power flow among the switches though if one switch fails to operate, and reduces the power losses at both rectifier and inverter circuits. The proposed topology is evaluated by connecting 3-phase Induction Motor (IM), which is controlled by SVPWM. The SVPWM is a generalized modulation of PWM derived from Sinusoidal Pulse Width Modulation (SPWM) combination of common-mode voltage. It facilitates the outcomes of the conventional SVPWM with the generalized SVPWM. This power conversion is attained by maintaining the DC-link voltage by using capacitors. This strategy facilitates the balancing of current and voltage at the DC-link. A comparative analysis of machine characteristics with SPWM and SVPWM topology is done. The MATLAB simulation results are analyzed and represented.

Predictive Current Control for Zero D-Axis Current Control of PMSG Based Wind Energy Conversion System

Volume 6 Issue 2 May - July 2018

Research Paper

Predictive Current Control for Zero D-Axis Current Control of PMSG Based Wind Energy Conversion System

Tripura Pidikiti *, G. Tulasi Ram Das **

* Assistant Professor, Department of Electrical and Electronics Engineering, RVR & JC College of Engineering, Guntur, Andra Pradesh,India.

** Professor, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University College of Engineering, Hyderabad, India.

Pidikiti, T., and Das, G.T.R. (2018). Predictive Current Control for Zero D-Axis Current Control of PMSG Based Wind Energy Conversion System. i-manager’s Journal on Power Systems Engineering, 6(2), 20-27. https://doi.org/10.26634/jps.6.2.15295

Abstract

In this paper, the Predictive Current Control (PCC) strategy for back-to-back (BTB) voltage source converters used in Permanent Magnet Synchronous Generator (PMSG), Wind Energy Conversion System (WECS) was explained. PCC is used to control the system, where the discrete time models of the BTB converters are used to predict the future state of control variables. Two cost functions are used to evaluate these predictions, and switching states which will minimize these cost functions will be selected and applied to generator side and grid side converter. The control requirements like Maximum Power Point Tracking (MPPT), Direct Current (DC) link voltage regulation and reactive power generation to the grid are satisfied by the PCC approach. Complete procedure for the MATLAB/Simulink implementation of predictive model, extrapolation and cost function employed in the implementation of PCC scheme are presented along with the comparison of the performance of Wind Energy Conversion System (PMSG WECS) and back-to-back (BTB) converter with conventional control technique.

Description and Examination of Optima Power Flow Using Traditional and Stochastic Optimization Techniques

Volume 6 Issue 2 May - July 2018

Research Paper

Description and Examination of Optima Power Flow Using Traditional and Stochastic Optimization Techniques

Ragaleela D.*, Sivanagaraju S.**

* Senior Assistant Professor, Department of Electrical and Electronics Engineering, PVPSIT, Vijayawada, Andhra Pradesh, India.

** Professor, Department of Electrical and Electronics Engineering, JNTUK, Kakinada, Andhra Pradesh, India.

Ragaleela, D and Sivanagaraju, S. (2018). Description and Examination Of Optima Power Flow Using Traditional and Stochastic Optimization Techniques. i-manager’s Journal on Power Systems Engineering, 6(2), 12-19. https://doi.org/10.26634/jps.6.2.14934

Abstract

In modern power systems, optima power flow plays a crucial role in optimizing different types of objective functions for progress and outlining. The purpose of Optima Power Flow (OPF) problem is to attain the optima solution of a considered test system objective function, like fuel cost and loss minimization by fine tuning the power system control variables. In this paper a new stochastic hybrid method, Particle Movement Bee Colony Algorithm (PMBCA) based on Particle Swarm Optimization (PSO) and Honey Bee Colony (HBC) is proposed in addition to existing methods. Comparisons of various traditional and heuristic optimization methods are considered to solve the OPF problems. The utility and efficacy of suggested algorithms is exemplarily tested on the IEEE 30-bus test system. Results prove that the PMBCA algorithm gives better solution and convergence characteristics to enhance the system performance compared with other methods.