scholarly journals Perbaikan Level Tegangan dan Reduksi Rugi-Rugi Sistem Transmisi Sulbagsel Berbasis Ant Colony Optimization

2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Ikhlas Kitta
Keyword(s):  
Power System ◽  
Ant Colony Optimization ◽  
Electric Power ◽  
Electric Power System ◽  
Ant Colony ◽  
Power Losses ◽  
The South ◽  
Optimal Amount ◽  
South Sulawesi

Abstract—The Ant Colony Optimization (ACO) method is used to determine the location and optimal amount of bank capacitors in the South Sulawesi electric power system (Sulbagsel). The purpose of employing ACO is to determine the ability of ACO as one method for optimization to improve voltage levels and reduce power losses in the electric power system. There are 5 scenarios carried out in this study, scenario 4 and scenario 5 are scenarios for applying the ACO method, the results of these two scenarios are the increase in voltage on the bus and the reduction of power losses in the Sulbagsel system.  

A Procedure of Drawing up Integral Indicators for Comprehensively Estimating the Properties of Electric Power System Nodes

Vestnik MEI ◽  
2021 ◽  
Vol 3 (3) ◽  
pp. 11-18
Author(s):  
Nailia Sh. Chemborisova ◽  
◽  
Ivan D. Chernenkov ◽  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Reactive Power ◽  
Voltage Regulation ◽  
Reactive Power Compensation ◽  
Electric Power System ◽  
Power Losses ◽  
System Operation ◽  
Active Power Losses ◽  
System Nodes

The problem of selecting the electric power system control nodes is studied. By performing control of these modes, matters concerned with providing reliable power supply of the required quality to consumers can be settled in the most efficient manner. As an example, a fragment of the electric power system mathematical model used in the Finist mode-setting simulator for a power system dispatch control center operator is considered, which represents a highly branched electrical network consisting of eleven 110 kV nodes, three 220 kV nodes connected with the system, and two generator nodes. A new procedure for selecting the control nodes is proposed, which takes into account a combination of different indicators having different measurement units, dimensions and scales is proposed. These indicators characterize the following properties of power system nodes: the reactive power fraction absorbed at a node, the sensitivity of voltage to reactive load variations, the number of connected power lines, and statistical indicators characterizing the change of voltage at the nodes and reactive power flows for different options of installing the reactive power compensation devices. For combined use of these indicators, they were ranked according to the efficiency of installing reactive power compensation devices in the system. For each indicator, a scale of five ranks (intervals) is set, which determine the preferences (qualitative judgments) of the researcher in evaluating the reactive power compensation devices installation efficiency at the system nodes. The highest rank (5) corresponds to the maximum efficiency, and the lowest rank (1) corresponds to the minimum efficiency. To calculate the individual (integral) priority indicator of installing reactive power compensation devices, the ranks of indicators are added together, and their sum is divided by the product of the number of ranks by the number of the used indicators (features). Based on the calculation results, the rating (location) of each node is determined, and the nodes for installing the reactive power compensation devices are selected according to their effect on ensuring the electric power system operation reliability, active power losses in the network, and voltage regulation. Thus, a new procedure is presented for determining the integral indicators for comprehensively estimating the properties of complex electric power system nodes and selecting the controlled nodes using a system of various indicators. These indicators characterize the studied nodes in terms of the efficiency of installing reactive power compensation devices to reduce active power losses in the network, voltage regulation, and ensuring the electric power system operational reliability. The validity of the results obtained in the study is confirmed by their comparison with the indicators of the balance-conductivity method, which has proven itself in solving problems connected with determining the nodes for controlling electric power system operation modes.

scholarly journals The Effect of Distributed Generator Injection with Different Numbers of Units on Power Quality in the Electric Power System

2021 ◽  
Vol 1 (2) ◽  
pp. 71
Author(s):  
Robi Kurniawan ◽  
Ardiansyah Nasution ◽  
Arnawan Hasibuan ◽  
Muzamir Isa ◽  
Muskan Gard ◽  
...  
Keyword(s):  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Reactive Power ◽  
Voltage Drop ◽  
Load Flow ◽  
Electric Power System ◽  
Total Loss ◽  
Electrical Network ◽  
Power Losses

Distributed Generation (DG) is a small capacity generator located in the electricity distribution system and is usually placed on buses that are connected directly to the load. Placement of distributed generation is one of the technical efforts to reduce voltage drop and power losses in the system. In addition, load flow analysis is a study to plan and determine the amount of power in an electric power system. The results of power losses after adding distributed generation were the best in the fifth experiment on bus 149, where the system experienced a total loss of active power (P) previously of 720,822 kW, to 682,939 kW and total loss of reactive power (Q) previously of 530.02 kVar, to 405.835 kVar. From the results of the calculation of the power flow using ETAP software (Electrical Transient Analyzer Program). So, it can be concluded that the electrical network system can be said to be good. The results obtained are the more DG (wind turbine generator) that is input into the bus it will reduce the voltage drop that occurs. After simulating the overall voltage drop, it still meets the standards according to the results of the Text Report on ETAP.

Expectation for Smart Inverter & DERMS for Electric Power System Task

2018 ◽  
Vol 138 (6) ◽  
pp. 412-415 ◽  
Author(s):  
Ryo Maeda ◽  
Takeshi Fukuoka ◽  
Yasutoshi Yoshioka ◽  
Atsushi Harada
Keyword(s):  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
System Task
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