Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm

Syahputra, Ramadoni; Robandi, Imam; Ashari, Mochamad

doi:10.15866/iree.v10i2.5410

Cited by 30 publications

(26 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sectionalizing switches are switches that are in closed position under normal conditions, while the tie switches are switches that are in open position under normal conditions. Data load of 33-bus IEEE distribution network can be seen in [10]. The total amount of load of the distribution system is 3715 kW.…”

Section: Resultsmentioning

confidence: 99%

“…Basically, in addition to the reconfiguration of the distribution network, there are several ways to minimize the loss of electrical power distribution systems, namely the installation of capacitors, load balancing, and increasing the voltage level [10]- [14]. Installation capacitors on distribution network and load balancing usually have difficulty because the load distribution system is very dynamic.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An artificial immune system algorithm approach for reconfiguring distribution network

Syahputra¹,

Soesanti²

2017

AIP Conference Proceedings

Self Cite

View full text Add to dashboard Cite

Abstract. This paper proposes an artificial immune system (AIS) algorithm approach for reconfiguring distribution network with the presence distributed generators (DG). The distribution network with high-performance is a network that has a low power loss, better voltage profile, and loading balance among feeders. The task for improving the performance of the distribution network is optimization of network configuration. The optimization has become a necessary study with the presence of DG in entire networks. In this work, optimization of network configuration is based on an AIS algorithm. The methodology has been tested in a model of 33 bus IEEE radial distribution networks with and without DG integration. The results have been showed that the optimal configuration of the distribution network is able to reduce power loss and to improve the voltage profile of the distribution network significantly.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An artificial immune system algorithm approach for reconfiguring distribution network

Syahputra¹,

Soesanti²

2017

AIP Conference Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Solar cells are semiconductor devices with large surfaces consisting of "p" and "n" type diode circuits, with the ability to convert solar energy into electrical energy. The work of these solar cells is highly dependent on the photovoltaic effect to absorb solar energy and charge current to flow between two opposing layers [17]- [19].…”

Section: Solar Photovoltaic Systemmentioning

confidence: 99%

Performance of A Standalone Solar Photovoltaic System

Syahputra*,

Ferbriyanto,

Mujaahid

et al. 2019

IJRTE

View full text Add to dashboard Cite

His research interests are in power system optimization, power system control, AI in power system, optimization, and renewable energy. Suko Ferbriyanto received B.Sc. degree from Department of Electrical Engineering, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia in 2019. His research interests are in operation of power system and renewable energy systems. Faaris Mujaahid hold a bachelor degree in 2010 from

show abstract

“…Wind is one of the most readily available renewable energy sources in Indonesia, most prevalently on the southern coast of Java and Sumatra Island, and the eastern islands. Based on data from the National Energy Blueprint, Ministry of Energy and Mineral Resources of the Republic of Indonesia, the potential of wind energy is 9.29 GW, but the utilization is still around 0.5 GW, 5.38% of the existing potential [3,4].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement for Small-Scale Wind Turbine System Based on Maximum Power Point Tracking Control

Syahputra

Soesanti

2019

Energies

Self Cite

View full text Add to dashboard Cite

This paper proposes a strategy for performance improvement of small-scale wind turbine systems using maximum power point tracking control (MPPT). In this study, wind-turbine systems which use permanent magnet synchronous generators and converter devices are modeled in Simulink-Matlab software. In order to increase the power generated, MPPT is used based on the extended perturb and observe (PO) method. This algorithm has the ability to improve the speed of the turbine without oscillation. To analyze the ability of the PO-based MPPT in maximizing output power, performance examination of wind turbine systems in Simulink-Matlab software was conducted. The study is carried out with a 3000 W wind turbine device serving various electrical loads of 50 Ω, 100 Ω, 200 Ω, and 300 Ω, and each ohm varies with a wind speed of 4, 5, 6.5, 7, 8.5, 9, and 10 m/s. The overall turbine system performance found that the maximum increase in system output power occurs when it is loaded with 200 Ω with a wind speed of 6.5 m/s. During this combination of 200 Ω and 6.5 m/s, there are high increments of output power at 135.62% caused by the installation of MPPT controllers, with an average output power increase of 50.77%. The results of this study proved that PO-based MPPT has successfully improved the performance of wind-turbine systems.Wind generates electrical energy through turbines, which are characterized by various types according to shapes and shafts. The wind turbine is connected with a generator that converts kinetic into electricity. Generators commonly used in conjunction with low-to medium-scale wind turbines are called permanent magnet synchronous generators (PMSG) [5,6]. The output of power generated by a PMSG varies depending on wind speed [7]. In order to maximize the output power of the generator, the maximum power point tracking (MPPT) controller is used to stabilize the maximum power [8,9].Methods for MPPT that are commonly used include gradient approximation, artificial neural network method, fuzzy logic, particle swarm optimization, ant colony optimization, and the perturb and observe (PO) methods [10][11][12][13][14]. In the study of [15], stand-alone wind turbines and MPPT using the gradient approximation method is carried out. This works by measuring the voltage and current, then changing the duty cycle in the direct current (DC)-DC converter to obtain the maximum power. The alternating current (AC) output voltage used single phase full bridge inverter. Simulation results show that the maximum power ratio without MPPT is 79.41%, while with it, the maximum power is 94.51%. The results of this study indicate that wind turbines have a higher average power when using MPPT. Furthermore, research [16] shows that MPPT technology is used to regulate the output voltage of the generator through a DC-DC converter circuit, where the switching technique uses pulse width modulation (PWM) by adjusting the duty cycle. The change of the duty cycle value depends on the wind speed. Therefore, a fuzzy logic controller (FLC) algorithm is...

show abstract

Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm

Cited by 30 publications

References 28 publications

An artificial immune system algorithm approach for reconfiguring distribution network

An artificial immune system algorithm approach for reconfiguring distribution network

Performance of A Standalone Solar Photovoltaic System

Performance Improvement for Small-Scale Wind Turbine System Based on Maximum Power Point Tracking Control

Contact Info

Product

Resources

About