Cascading: a new approach to electricity generation in the distribution system with maximum efficiency and availability as well as minimum costs

2006 ◽  
Author(s):  
J. Klimstra
Keyword(s):  
Distribution System ◽  
Electricity Generation ◽  
Maximum Efficiency ◽  
New Approach ◽  
Minimum Costs

scholarly journals A NEW AND SUSTAINABLE PKL ELECTRICITY

2021 ◽  
Author(s):  
K. A. Khan ◽  
Shahinul Islam ◽  
M. A. Saime ◽  
S. R. Rasel ◽  
Sazzad Hossain
Keyword(s):  
Rural Areas ◽  
Electricity Generation ◽  
Short Circuit ◽  
Storage System ◽  
Research Work ◽  
Titratable Acidity ◽  
Voltage Regulation ◽  
Open Circuit ◽  
Electricity Production ◽  
Maximum Efficiency

A new method of electricity generation based on Pathor Kuchi Leaf (Genus: Kalanchoe, Section: Bryophyllum) has been developed at the Department of Physics, Jagannath University, Dhaka- 1100, Bangladesh. This electricity generation method has several advantages for smart grid over the conventional electricity production. This sustainable method is likely to generate the employment at particularly in the rural areas of where grid electricity is absent. This research work reports an invention made on Pathor Kuchi Leaf (PKL) electric power plant to enhance the PKL electricity production. The efficiency of the PKl electricity production device, Short Circuit Current ( Isc ), Open circuit Voltage ( Voc ), Temperature effect of the PKL malt, pH of the PKL malt, Titratable acidity of the PKL malt, Generation of PKL electricity, Storage system of the PKL electricity, Particular utilization of PKL electricity, I-V characteristics of the PKL, Classification of PKL, Longevity of PKL malt for PKL electricity generation, Preparation of PKL electric unit cell, module, panel, arrays and the constituent elements of the PKL, Voltage regulation, Internal resistance of the cell and efficiency of the cell have been studied. The chemical reactions of the PKL electrochemical cell have also been studied. In experimental study, it is shown that the maximum efficiency of the PKL electricity production device is ≈ 34%, the pH of the PKL malt is ≈ 4.6(without water), pH of the PKL malt is ≈ 4.8 (with 10% solution), the titratable acidity of the PKL malt is ≈ 0.88%. Most of the results have been tabulated and graphically discussed.

A new approach for real time voltage control using demand response in an automated distribution system

2014 ◽  
Vol 117 ◽  
pp. 157-166 ◽  
Author(s):  
Alireza Zakariazadeh ◽  
Omid Homaee ◽  
Shahram Jadid ◽  
Pierluigi Siano
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Distribution System ◽  
Voltage Control ◽  
New Approach

Modeling and Simulation of MPPT-SEPIC Combined Bidirectional Control Inverse KY Converter Using ANFIS in Microgrid System

2016 ◽  
Vol 1 (2) ◽  
pp. 264 ◽  
Author(s):  
Soedibyo Soedibyo ◽  
Farid Dwi Murdianto ◽  
Suyanto Suyanto ◽  
Mochamad Ashari ◽  
Ontoseno Penangsang
Keyword(s):  
Energy Storage ◽  
Output Power ◽  
Distribution System ◽  
Maximum Output Power ◽  
Optimization Method ◽  
Photovoltaic System ◽  
Maximum Efficiency ◽  
Maximum Output ◽  
Pv System ◽  
Excess Power

<em>Photovoltaic system (PV) is widely used in various renewable energy application. The main problem of PV system is how to get the maximum output power which is integrated in microgrid system. Furthermore, the redundancy output power generated by on a distribution system should also be considered. This study utilizes the excess power for energy storage using bidirectional of KY inverse</em> <em>converter. Since the DC voltage which generated by PV and the energy storage will be converted into AC voltage using inverter toward load. This paper proposes ANFIS as search optimization method using SEPIC converter with a maximum efficiency of 99.95%</em> to impact to power generation performance  in microgrid system.

scholarly journals An Experimental Data-Driven Model of a Micro-Cogeneration Installation for Time-Domain Simulation and System Analysis

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2759 ◽  
Author(s):  
Wojciech Uchman ◽  
Janusz Kotowicz ◽  
Leszek Remiorz
Keyword(s):  
Time Domain ◽  
Electricity Generation ◽  
System Analysis ◽  
Data Driven ◽  
Maximum Efficiency ◽  
Time Domain Simulation ◽  
Term Operation ◽  
Operating Modes ◽  
Laboratory Setup ◽  
The Time Domain

In this article, an investigation of a free-piston Stirling engine-based micro-cogeneration (μCHP) unit is presented. This work is a step towards making the system calculations more reliable, based on a data-driven model, which enables the time-domain simulation of the μCHP behavior. A laboratory setup was developed that allowed for the measurement of a micro-cogeneration unit during long-term operation with a variable thermal load. The maximum efficiency of electricity generation was equal to 13.2% and the highest overall efficiency was equal to 95.7%. A model of the analyzed μCHP system was developed and validated. The simulation model was based on the device’s characteristics that were obtained from the measurements; it enables time-domain calculations, taking into account the different operating modes of the device. The validation of the system showed satisfactory compliance of the model with the measurements: for the period modeled of 24 h, the error in the heat generation fluctuated in the range 0.31–4.50%, the error in the electricity generation was in the range 2.48–4.70%, the error in the natural gas consumption was in the range 0.26–4.59%, and the engine’s runtime error was in the range 0.14–8.58%. The modelling process is easily applicable to other energy systems for detailed analysis.

An Artificial Intelligence Based Approach for High Impedance Faults Analysis in Distribution Networks

2012 ◽  
Vol 1 (2) ◽  
pp. 44-59 ◽  
Author(s):  
M. S. Abdel Aziz ◽  
M. A. Moustafa Hassan ◽  
E. A. El-Zahab
Keyword(s):  
Artificial Intelligence ◽  
Distribution System ◽  
Fault Location ◽  
Fuzzy Inference ◽  
Distribution Networks ◽  
Inference System ◽  
New Approach ◽  
High Impedance ◽  
Neuro Fuzzy ◽  
High Impedance Faults

This paper presents a new approach for high impedance faults analysis (detection, classification and location) in distribution networks using Adaptive Neuro Fuzzy Inference System. The proposed scheme was trained by data from simulation of a distribution system under various faults conditions and tested for different system conditions. Details of the design process and the results of performance using the proposed method are discussed. The results show the proposed technique effectiveness in detecting, classifying, and locating high impedance faults. The 3rd harmonics, magnitude and angle, for the 3 phase currents give superior results for fault detection as well as for fault location in High Impedance faults. The fundamental components magnitude and angle for the 3 phase currents give superior results for classification phase of High Impedance faults over other types of data inputs.

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