scholarly journals Electrical Power Characteristics and Economic Analysis of Distributed Generation System Using Renewable Energy: Applied to Iron and Steel Plants

2019 ◽  
Vol 11 (22) ◽  
pp. 6199 ◽  
Author(s):  
Hee-Kwan Shin ◽  
Jae-Min Cho ◽  
Eul-Bum Lee
Keyword(s):  
Economic Analysis ◽  
Power System ◽  
Output Power ◽  
Distributed Generation ◽  
Electrical Power ◽  
Peak Load ◽  
Environmental Issues ◽  
Steel Plant ◽  
Energy Utilization ◽  
Iron And Steel

The intention of this paper is to respond to the increase in electric power demand and global environmental issues in iron and steel plants. In particular, the authors studied the characteristics of the power flow from a distributed generation (DG) system connected to the electrical power system of a steel plant. In addition, the authors carried out an economic analysis of the DG system by calculating the capital investment cost that could convert the profit of the DG into a certain profit. The research was conducted based on the power system configuration and basic data of a steel plant in operation in Korea. To analyze the unconnected DG of the power system, a transmission voltage target was set, and the voltage characteristics of 22.9 and 6.6 kV systems were analyzed. The authors analyzed the connected DG system in terms of the effect of link location, power factor, and output power by case. The authors also studied the power loss variation in the output power of a DG system. Various simulations with MATLAB software and NPV (Net Present Value) and IRR (Internal Rate of Return) methods were run in an economic analysis to compare the case of not introducing an energy storage system (ESS), and the case of introducing an ESS in terms of comprehensive energy utilization. The results of the economic analysis indicated that the scenario with ESS is more economically advantageous, resulting from the peak power reduction effect and the evasion cost due to the elimination of the power generation operation of the peak load. Developed countries have established best available technology (BAT) standards and developed related practices to apply them to industrial plants, actively preparing for environmental issues in the future. In Korea and in some other countries, the application of distributed generation in conjunction with the steel plant sector will be effective for improving energy efficiency and responding to environmental issues.

scholarly journals Solar Power System Assessments Using ANN and Hybrid Boost Converter Based MPPT Algorithm

2021 ◽  
Vol 11 (23) ◽  
pp. 11332
Author(s):  
Imran Haseeb ◽  
Ammar Armghan ◽  
Wakeel Khan ◽  
Fayadh Alenezi ◽  
Norah Alnaim ◽  
...  
Keyword(s):  
Power System ◽  
Output Power ◽  
Electrical Power ◽  
Analytical Framework ◽  
Boost Converter ◽  
Electrical Power System ◽  
Load Pressure ◽  
Point Tracking ◽  
Artificial Neural Network Ann ◽  
Power Point

The load pressure on electrical power system is increased during last decade. The installation of new power generators (PGs) take huge time and cost. Therefore, to manage current power demands, the solar plants are considered a fruitful solution. However, critical caring and balance output power in solar plants are the highlighted issues. Which needs a proper procedure in order to minimize balance output power and caring issues in solar plants. This paper investigates artificial neural network (ANN) and hybrid boost converter (HBC) based MPPT for improving the output power of solar plants. The proposed model is analyzed in two steps, the offline step and the online step. Where the offline status is used for training various terms of ANNs in terms of structure and algorithm while in the online step, the online procedure is applied with optimum ANN for maximum power point tracking (MPPT) using traditional converter and hybrid converter in solar plants. Moreover, a detail analytical framework is studied for both proposed steps. The mathematical and simulation approaches show that the presented model efficiently regulate the output of solar plants. This technique is applicable for current installed solar plants which reduces the cost per generation.

Output power analysis of Tel-USat electrical power system

2020 ◽  
Author(s):  
Aulia Indana ◽  
Dharu Arseno ◽  
Edwar ◽  
Adilla Safira
Keyword(s):  
Power System ◽  
Output Power ◽  
Power Analysis ◽  
Electrical Power ◽  
Electrical Power System

Probabilistic Power System Reliability Assessment

2021 ◽  
pp. 670-693
Author(s):  
Oliver Dzobo ◽  
Kehinde O. Awodele
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Output Power ◽  
Distributed Generation ◽  
System Reliability ◽  
Sequential Monte Carlo ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power System Reliability ◽  
Monte Carlo Simulation Technique

This chapter presents the different dynamics in power system reliability as a result of the intrinsic behavior of distributed renewable energy sources. The output power of distributed renewable energy sources depends on the amount of available respective resource at any given time. This output power generally experiences fluctuations when compared with the output of conventional power generation units. The phenomenon is not usually included in traditional reliability worth evaluation methods for power system networks with distributed generation. In this chapter, a reliability worth evaluation model for power system networks with time-dependent distributed renewable generation resources is presented and analyzed. Time sequential Monte Carlo simulation technique is used, and the operational efficiency of the distributed generation unit is measured using the primary reliability worth index, ECOST. The derived index is fitted to a beta distribution function to show the inherent skewness of the supply reliability worth index.

Impact of Distributed Generation on Power System

2014 ◽  
Vol 543-547 ◽  
pp. 681-684 ◽  
Author(s):  
Ming Yue Wei
Keyword(s):  
Power Generation ◽  
Power System ◽  
Distributed Generation ◽  
Basic Structure ◽  
Paper Analysis ◽  
Energy Utilization ◽  
Planning System ◽  
Distributed Power ◽  
Distributed Power Generation ◽  
Supply Mode

For the study of distributed generation and its impact on power system, this paper briefly introduces the basic concept, the advantages of distributed generation, and the concept and basic structure of micro-grid. From the power system planning, system voltage, power quality, island effect, relay protection and other aspects, this paper analysis and discusses the influence of distributed power on power system. To properly resolve the grid-connected distributed generation power influence, it will be helpful for the development of future of distributed power generation. Distributed power generation can be used not only as an important supplement of the traditional centralized power supply mode, but also as a very important role in energy utilization, it will become an important area of research and development in future energy.

Probabilistic Power System Reliability Assessment

2020 ◽  
pp. 94-117
Author(s):  
Oliver Dzobo ◽  
Kehinde O. Awodele
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Output Power ◽  
Distributed Generation ◽  
System Reliability ◽  
Sequential Monte Carlo ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power System Reliability ◽  
Monte Carlo Simulation Technique

This chapter presents the different dynamics in power system reliability as a result of the intrinsic behavior of distributed renewable energy sources. The output power of distributed renewable energy sources depends on the amount of available respective resource at any given time. This output power generally experiences fluctuations when compared with the output of conventional power generation units. The phenomenon is not usually included in traditional reliability worth evaluation methods for power system networks with distributed generation. In this chapter, a reliability worth evaluation model for power system networks with time-dependent distributed renewable generation resources is presented and analyzed. Time sequential Monte Carlo simulation technique is used, and the operational efficiency of the distributed generation unit is measured using the primary reliability worth index, ECOST. The derived index is fitted to a beta distribution function to show the inherent skewness of the supply reliability worth index.

scholarly journals ANALISIS KINERJA PMS REL 2 BAY TRAFO 6 MENGGUNAKAN THERMOVISION METHODE DI GARDU INDUK SUNYARAGI

Foristek ◽  
2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Agus Siswanto ◽  
Reza Alfian ◽  
Erfan Subyanta
Keyword(s):  
Power System ◽  
Contact Resistance ◽  
Electric Power ◽  
Electrical Power ◽  
Good Condition ◽  
Peak Load ◽  
Electrical Energy ◽  
Electric Power System ◽  
Electrical Power System ◽  
T Phase

In an effort to provide reliable and efficient electrical energy, substations have an important role in regulating the demand for electric power loads and as a center for securing electrical power system components in a certain area. Frequent disturbances become a benchmark for an electric power system whether or not it is good or not in an effort to provide reliable and efficient energy. One of the maintenance measures is temperature measurement using thermal imagers, which is commonly referred to as thermovision measurement.Thermal imager is a tool that can be used for predictive maintenance activities to monitor the condition and performance of an equipment so that the possibility of equipment failure can be minimized. In October 2020, after thermovisiting transformer bay 6 at the Sunyaragi substation, it was discovered that there was a hotspot on the T-phase separation blade, causing heating of the blade, the above conditions can result in a decrease in PMS performance, with the worst condition if left alone can result in damage to the PMS blade and can also melt when the peak load is on the transformer 6. Under these conditions, maintenance is carried out by maintaining contact resistance, insulation resistance, and grounding resistance. The results of the analysis of contact resistance after maintenance show that the equipment is in good condition and still suitable for use, with a value of 7μΩ for the R phase, 6.5μΩ for the S phase, and 6.7μΩ for the T phase.

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