PEMBUATAN DAN ANALISA SISTEM INFORMASI GEOGRAFIS DISTRIBUSI JARINGAN LISTRIK (Studi Kasus: Surabaya Industrial Estate Rungkut di Surabaya)

Development and Analysis of Geographic Information System for Electricity Network (Case Study: Surabaya Industrial Estate Rungkut in Surabaya). Geographic Information System (GIS) is a system of data which has spatial base. This may be cause has ability to process and analysis data quickly. The ability of GIS will be able to process the alternative in decision making. The need of electric power grows until recent time along with the existence of industrial sector expansion and land use expansion claim better service, large and balance stock of electric power. GIS is asolution for planning and managing data base system, for quickly service and professional service to consumer in Surabaya Industrial Estate Rungkut (SIER) Area. By using Arc View to process the data which has spatial base, and supported by energy and voltage data in Surabaya Industrial Estate Rungkut area, the resistance, current, voltage regulation, energy losses supplied by Surabaya Industrial Estate Rungkut can be calculated. The existence of GIS technology can assist the work process in operator level and the balance of electrical power efficiency.Keywords: Geographic Information System, Electricity Network, Surabaya Industrial Estate Rungkut Are

AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning

This work proposes a method based on a mixed integer nonlinear non-convex programming model to solve the multistage transmission expansion planning (TEP). A meta-heuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimization tool. An AC load flow model is used in solving the multistage TEP problem, where accurate and realistic results can be obtained. Furthermore, the work considers the constraints checking and system violation such as real and power generation limits, possible number of lines added, thermal limits and bus voltage limits. The proposed technique is tested on well known and realistic test systems such as the IEEE 24 bus-system and the Colombian 93-bus system. The method has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved good results in a fast convergence time for the test systems

Enhanced two-terminal impedance-based fault location using sequence values

Fault at transmission line system may lead to major impacts such as power quality problems and cascading failure in the grid system. Thus, it is very important to locate it fast so that suitable solution can be taken to ensure power system stability can be retained. The complexity of the transmission line however makes the fault point identification a challenging task. This paper proposes an enhanced fault detection and location method using positive and negative-sequence values of current and voltage, taken at both local and remote terminals. The fault detection is based on comparison between the total fault current with currents combination during the pre-fault time. While the fault location algorithm was developed using an impedance-based method and the estimated fault location was taken at two cycles after fault detection. Various fault types, fault resistances and fault locations have been tested in order to verify the performance of the proposed method. The developed algorithms have successfully detected all faults within high accuracy. Based on the obtained results, the estimated fault locations are not affected by fault resistance and line charging current. Furthermore, the proposed method able to detect fault location without the needs to know the fault type

Comparative analysis of evolutionary-based maximum power point tracking for partial shaded photovoltaic

The characteristics of the photovoltaic module are affected by the level of solar irradiation and the ambient temperature. These characteristics are depicted in a V-P curve. In the V-P curve, a line is drawn that shows the response of changes in output power to the level of solar irradiation and the response to changes in voltage to ambient temperature. Under partial shading conditions, photovoltaic (PV) modules experience non-uniform irradiation. This causes the V-P curve to have more than one maximum power point (MPP). The MPP with the highest value is called the global MPP, while the other MPP is the local MPP. The conventional MPP tracking technique cannot overcome this partial shading condition because it will be trapped in the local MPP. This article discusses the MPP tracking technique using an evolutionary algorithm (EA). The EAs analyzed in this article are genetic algorithm (GA), firefly algorithm (FA), and fruit fly optimization (FFO). The performance of MPP tracking is shown by comparing the value of the output power, accuracy, time, and tracking effectiveness. The performance analysis for the partial shading case was carried out on various populations and generations

Power outage prediction by using logistic regression and decision tree

The occurrence of the power outage caused inconvenience to the customers including the energy suppliers. There are various factors that can trigger the power outage such as lightning, weather or animal. In this paper, the power outage prediction has been performed by using the datasets provided which are lightning data and tripping report. The machine learning method was carried out to predict the power outage occurrence by using the Classification Learner App in MATLAB. Before performing the machine learning method, the data went through the data pre-processing to ensure the data is clean and the significant feature for prediction can be selected to run in the Classification Learner App. The results of this research have shown that Fine Tree is the most suitable model to be used for the prediction of power outage. The results have been compared by using the Area Under Curve (AUC) in Receiving Operating Characteristic (ROC). Logistic Regression and Coarse Tree shows the lowest value of AUC compared to other model and Fine Tree has the highest value of AUC

Optimal placement of DSTATCOM in distribution network based on load flow and voltage stability indices studies

The power utilities are experiencing a new challenge as the demand for electrical power is increasing on a regular basis. This forced the existing networks operates closed to its stability limits. The ability of a power system to remain acceptable magnitude voltages at all bus under both normal and contingency conditions, known as voltage stability is the major concern for both transmission and distribution network to ensure that a secure and reliable electrical power is able to transmit from generation to load side. This can be mitigated by integrating Custom Power (CP) device on the existing transmission system. However, the location of CP device is significantly important to ensure adequate investment of CP device in networks that will enhance the voltage stability margin, reduce power loss and improve voltage profile. In this paper, the optimal location of Distribution Static Synchronous Compensator (DSTATCOM) is introduced by analyzing results obtained from two studies; load flow and voltage stability indices. The studies were examined using the modified IEEE 30 bus system which is modelled and tested using DigSILENT PowerFactory 16 as simulation tools

Wide area monitoring system control management of the IEEE-14 bus system using least square support vector regression

The wide area monitoring system (WAMS) records and monitors every fault or disturbance that occurs in a power system network using phasor measuring units (PMUs). Extensive monitoring of the condition of the electrical power system can ensure the sustainability of reliable energy. The accuracy of the PMUs placement can be determined using the least square support vector regression (LS-SVR) technique. The primary goal of this study is to assess the level of accuracy of the PMUs placement using mean square error (MSE). First, the IEEE-14 bus system equipped with PMUs was built in Matlab software using Simulink. The MSE of the PMUs was then calculated using the LS-SVR. The results revealed that the lower the MSE, the better the PMUs placement. It was also observed that placing the PMUs on bus 2, bus 6, and bus 9 produced the lowest value of MSE

Voltage stability indices studies on optimal location of wind farm in distribution network

The increasing demand for electrical power contributes major challenges especially in power utilities as one of the main issues is voltage instability. The voltage instability occur in both transmission and distribution network may weaken the whole operation of power system that will significantly limit the growth of load. As a result, voltage collapse blackout occurs in the power system whereas at this point the voltage become uncontrollable. The penetration of Wind Power Plant (WPP) in distribution system may be a good alternative to accommodate this challenge. However, the location of WPP play the important role to fully utilize the power generated by WPP that will not only improve the voltage stability margin but also reduce the power losses and enhance voltage profile. This paper presents the analysis for the selection of the optimal location of WPP integration from voltage stability, voltage profile and total system losses overview. The study was conducted using IEEE 30 Bus test system as the benchmark system and DigSILENT PowerFactory 16 as simulation tools

Development of an internet of things-based weather station device embedded with O2, CO2, and CO sensor readings

Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O2), carbon dioxide (CO2), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors' characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server

Development and Analysis of Geographic Information System for Electricity Network (Case Study: Surabaya Industrial Estate Rungkut in Surabaya).

Geographic Information System (GIS) is a system of data which has spatial base. This may be cause has ability to process and analysis data quickly. The ability of GIS will be able to process the alternative in decision making. The need of electric power grows until recent time along with the existence of industrial sector expansion and land use expansion claim better service, large and balance stock of electric power. GIS is a solution for planning and managing data base system, for quickly service and professional service to consumer in Surabaya Industrial Estate Rungkut (SIER) Area. By using Arc View to process the data which has spatial base, and supported by energy and voltage data in Surabaya Industrial Estate Rungkut area, the resistance, current, voltage regulation, energy losses supplied by Surabaya Industrial Estate Rungkut can be calculated. The existence of GIS technology can assist the work process in operator level and the balance of electrical power efficiency.<br