Open AccessA Nexus among Reliability Improvement of Distribution System with Optimal Placement and Capacity of Wind-Based Distributed Generation Management
Author(s) -
Syahrial Shaddiq
Publication year - 2021
Publication title -
engineering journals of information, control, telecommunication and electrical/engineering journals of information, control, telecommunication and electrical
Language(s) - English
Resource type - Journals
eISSN - 2798-6462
pISSN - 2746-7481
DOI - 10.33365/jictee.v2i2.1174
Subject(s) - renewable energy , wind power , distributed generation , reliability (semiconductor) , reliability engineering , turbine , nexus (standard) , population , computer science , environmental economics , engineering , power (physics) , electrical engineering , economics , mechanical engineering , physics , demography , quantum mechanics , sociology , embedded system
Along with the world population growth, the need for a source of electrical energy is higher, so a reliable system with higher capacities is expected. Renewable energy becomes an alternative that supports the goal of reducing the risk of disruption, thus increasing the distribution system’s reliability. A lot of industries and public settlement uses renewable sources of energy as an alternative power supply to comply their energy needs. This research uses wind turbine as a source of renewable energy in the distributed generation (DG). However, the required investment in wind-based DG is commonly considered too costly to deploy and require a proper planning on its placement method. The flower pollination algorithm (FPA) method could be a solution to achieve optimal placement of wind-based DG, thus increase the distribution system’s reliability, which is indicated by minimum energy not supplied (ENS) index.