Ramadoni Syahputra

Reconfiguration of distribution network with DG using fuzzy multi-objective method

This paper presents a reconfiguration methodology based on a fuzzy multi-objective approach for achieving the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations. Multi-objective function are considered for load balancing among the feeders, minimization of the real power loss, deviation of nodes voltage, and branch current constraint violation, while subject to a radial network structure in which all loads must be energized. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of the research is that the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generation. The implementation of the fuzzy multi-objective for distribution reconfiguration on a 70 nodes distribution network with distributed generation is described. The simulation results show that a 37.92% of active power loss reduction is achieved by the method.

Optimal distribution network reconfiguration with penetration of distributed energy resources

This paper presents an optimal distribution network reconfiguration with penetration of distributed energy resources (DER). The reconfiguration is done to achieve the minimum active power loss of radial distribution networks with DER penetration. As a further matter, the presence of DER to the distribution systems has become some problems such the increase of the voltage at which there are many DER. In this study, the technique of network reconfiguration is based on an extended fuzzy multi-objective. Multi-objective function are considered for the power loss minimization, deviation of bus voltage, and load balancing among the feeders, while subject to a radial network structure in which all loads must be energized. The extended fuzzy multi-objective for reconfiguration of distribution network has been tested on Yogyakarta 60-bus distribution network data. The test results show that a 3.83% of Yogyakarta 60-bus network power loss reduction is achieved by the method. Also, the improvement of the voltage profile at each bus is also achieved with this method.

Power loss reduction strategy of distribution network with distributed generator integration

This paper proposes a strategy of power loss reduction of radial distribution network with distributed generator (DG) integration based on a fuzzy multi-objective method in order to improve the distribution system efficiency. Multi-objective functions are considered for power loss reduction, minimization of bus voltage deviation, and maintaining the load balancing among the feeder of distribution network. These objective functions are modeled with fuzzy sets to evaluate the imprecise nature of each objective. Originality of this work is the fuzzy-based multi-objective optimization in reconfiguration of distribution network including the distributed generator. The application of the fuzzy based multi-objective for distribution network reconfiguration on a 33-bus distribution network with integration of distributed generator is described. The test results show that the power loss of 33-bus radial distribution network experienced a significant reduction and voltage profile of each bus has also improved. The results show that a 72.34% of power loss reduction is achieved for the IEEE 33-bus network with DG integration.

Power System Stabilizer model based on Fuzzy-PSO for improving power system stability

This paper proposed a Power System Stabilizer model based on Fuzzy-PSO for improving power system stability. Power System Stabilizer (PSS) is a device that can be used to enhance the damping of power system during low frequency oscillations. In multi-machine power systems, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous varied in power system operating conditions. In order to enhance the performance of PSS, the combination of fuzzy logic and particle swarm optimization (PSO) method is used in this study. Simulations were carried out using several fault tests at transmission line on a two-area multi-machine power system. In this work, Delta w PSS and Delta Pa PSS has been used for comparison with the fuzzy-PSO PSS. The result shows that power transfer response using the fuzzy-PSO PSS is more robust than Delta w PSS and Delta Pa PSS, especially for three phase faults and phase to ground faults.

Green Energy Approach for Batik Industry in Order to Increase Productivity and Maintain a Healthy Environment

Batik is a piece of cloth applied by means of a dye-resist technique using “batik-wax” as the resisting medium. Indonesian batik was designated by UNESCO as a Masterpiece of Oral and Intangible Heritage of Humanity. As part of the acknowledgment, UNESCO insisted that Indonesia has preserved their heritage. This fact should be grateful and responded with efforts to develop and preserve Indonesian batik. One effort to develop and preserve Indonesian batik is to adopt green energy technologies in the production process. As generally in Indonesia, batik industry is currently still a class of small and medium enterprises (SMEs). One of the quite popular in Indonesia is Bantul batik. Of the many batik SMEs in Bantul, there are two SMEs that have the potential to develop, namely Ida Lestari Batik and Arjo Munir Batik. The issue of the SMEs is that the production process is still using kerosene stoves, while the price of kerosene is very expensive and difficult to obtain. Therefore, in this paper the application of environmentally friendly energy sources for the production process of batik is described. The energy source is the installation of solar home system. The system is used to distribute electrical power to the batik electric stove. The use of solar home system and batik electric stoves is more practical and economical than kerosene stove. Another advantage is to reduce dependence on fossil fuels and help preserve the environment with the use of green technology.

An artificial immune system algorithm approach for reconfiguring distribution network

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.