Design and optimization of smart grid system based on renewable energy in Nyamuk Island, Karimunjawa district, Central Java

Novitasari, Dwi; Indartono, Yuli Setyo; Rachmidha, T. D.; Reksowardojo, Iman K.; Irsyad, Muhammad

doi:10.1063/1.4976900

Cited by 7 publications

(2 citation statements)

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“…Based on the simulation, the battery can run for 16.3 hours on autonomy day. Autonomy day is defined as the absence of electrical energy supply from the sun and wind due to unpredictable weather [20]. Figure 10 is the power output of the PV.…”

Section: Simulation Resultsmentioning

confidence: 99%

Optimization of power system for UAV ground control station in Natuna Island

Utami

Setiawan

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The Unmanned Aerial Vehicle (UAV) is controlled remotely by the operator at the Ground Control Station (GCS) during the mission. Reliable electrical energy is needed to supply energy needs in GCS, such as radio communications, workstations, weather stations, HVAC systems, and lamps when the UAV is operating. GCS is located in Ranai City, Natuna Islands. The UAV mission in Ranai can assist the military in monitoring border surveillance, disaster management, and mapping the area. GCS power source in the initial design, using a diesel generator as the main power source with a power of 12 kW for 192.3 kWh per day energy consumption and 10.8 kW load peak. This paper has shown the study on a hybrid system with 3 scenarios, consisting of a PV system, wind turbine, generator, and battery. The system is simulated by using HOMER for accounting the technical and economic aspects. The results showed that the NPC and LCOE of the third scenario, which consisted of PV/wind/battery, were $181,157.38 and $0.15 per kWh, respectively. It has the lowest cost compared to the first scenario with the usage of diesel generator only. The average fuel consumption is 7.97 litre per day, down 87% compared to the existing condition. Thus, this configuration can overcome the costs of delivering fuel supplies for GCS operations and complement the government’s efforts to achieve emission reduction targets.

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Section: Simulation Resultsmentioning

confidence: 99%

Optimization of power system for UAV ground control station in Natuna Island

Utami

Setiawan

2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…None of the individual methods could perform better than all the other methods on all kinds of problems. However, new generation optimization approaches like artificial intelligence-based, heuristic algorithms are found to be more acceptable than traditional algorithms because of their ability to search global and local optima, fast convergence speed, and good calculation accuracy [22][23][24][25][26][27][28][29][30]. Since the using hybridization of two or more algorithms to overcome the limitations of a single algorithm, in this section, at first two metaheuristic methods are introduced (HSA and SAA).…”

Section: Hybrid Optimization Techniquesmentioning

confidence: 99%

The Optimal Energy Management Methods of The Hybrid Power System

MOHAMMED,

Hashim,

Suliman

2023

NTU-JRE

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The hybrid renewable energy system is a particular type of energy system which can be used to reduce grid losses and improve efficiency. In general, during the design step, there are two important conditions: the first is the availability, and the second is the cost of equipment. This paper considers these restrictions and uses hybrid renewable energy sources (HRES). The problems of traditional energy are many and varied, and the percentage of the pollution that comes from it is also many, so people began to search for renewable energy sources with problems, pollution, and lower cost. Therefore, several studies have been conducted on integrating different types of renewable energies to generate electricity and meet the consumer’s needs. This paper provides a comprehensive overview of the recent methods used to Improve and manage hybrid energy systems.

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Phytochemicals of Calophyllum inophyllum

Pawar¹,

Patil²

2019

Reference Series in Phytochemistry

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Design and optimization of smart grid system based on renewable energy in Nyamuk Island, Karimunjawa district, Central Java

Cited by 7 publications

References 1 publication

Optimization of power system for UAV ground control station in Natuna Island

Optimization of power system for UAV ground control station in Natuna Island

The Optimal Energy Management Methods of The Hybrid Power System

Phytochemicals of Calophyllum inophyllum

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