Fuzzy Logic Control for Energy Management in Distributed Generation Paradigm

Dewangan, D. N.; Mudliar, Anshul; Deb, Shreya; Banik, Arijeet; Bhusnur, Surekha

doi:10.1109/icaect49130.2021.9392448

Cited by 4 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other applications include powering remote telecommunications and military installations, energy-intensive desalination of water, and irrigation pumping [1]. In most cases, GIHPS systems make use of solar PV systems, WECS, fuel cells, and batteries in their capacity as external levelling agents [2,3]. Te PCC is where the DC-DC converters, which regulate and aggregate the source power, are located.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Energy Management for Distributed Power Plants and Battery Storage

Prakash

Varma

Ravikumar

et al. 2023

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

A smart energy management controller is required for effective source coordination and load demand management. This work proposes a novel instantaneous current reference technique for use in power management of hybrid power systems (HPS), both autonomous and interconnected with the grid. A grid integrated hybrid power system (GI-HPS) includes both the AC grid and additional sources used in industrial and commercial environments. Solar photovoltaic (SPV) panels, wind turbine generators, proton exchange membrane fuel cells, and batteries are all part of the test system. The suggested energy management system (SEMS) manages power from the hybrid power source and the energy storage components to meet the load needs. The recommended SEMS can transit between 12 different modes of operation to fulfil the load demand requirements. The SEMS employs a scaling factor N to accelerate the rate at which the measured current approaches the reference current. The proposed scaling factor significantly improves the SEMS’s dynamic performance since it can quickly respond to the changes in the source and load characteristics. The dependability of an HPS powered by a variety of renewable energy sources can also be improved.

show abstract

Section: Introductionmentioning

confidence: 99%

Intelligent Energy Management for Distributed Power Plants and Battery Storage

Prakash

Varma

Ravikumar

et al. 2023

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

show abstract

Modeling of MPPT-Based Solar Eco-System Using Fuzzy Logic Controller

Kaur

Vig²

2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Due to the depletion of fossil fuel reserves, renewable sources are now one of the most important sources of generating electricity. As far as reachable RE technologies are concerned, wind and photovoltaic sources offer the best potential, since they are omnipresent, free, and environmentally friendly. PV (photovoltaic) energy from the sun is an incredibly valuable renewable energy source on this planet. Because of varying climatic conditions, the energy generated directly from sunlight through PV panels is not steady. Environmental conditions are not every time favourable to generate electricity through solar. One of the solutions to this problem is to utilize optimization methods like P&O (Perturbation and Observation) with Maximum Power Point (MPPT) controllers. In this paper the main objective is to enhance the power capabilities of systems by utilizing maximum environmental conditions with Maximum Power Point Tracker to extract the maximum power from sunrays present in the environment. To improve the efficiency and accuracy of this MPPT tracking, a Fuzzy Logic Control technique has also been used in this paper. Simulations of the suggested method are carried out using MATLAB/Simulink.

show abstract

Smart Hybrid Power Sources Controller based on Fuzzy Logic for Energy Management using Wireless Sensor Networks

Hamouda

2023

2023 8th International Engineering Conference on Renewable Energy &Amp; Sustainability (ieCRES)

View full text Add to dashboard Cite

Fuzzy Logic Control for Energy Management in Distributed Generation Paradigm

Cited by 4 publications

References 7 publications

Intelligent Energy Management for Distributed Power Plants and Battery Storage

Intelligent Energy Management for Distributed Power Plants and Battery Storage

Modeling of MPPT-Based Solar Eco-System Using Fuzzy Logic Controller

Smart Hybrid Power Sources Controller based on Fuzzy Logic for Energy Management using Wireless Sensor Networks

Contact Info

Product

Resources

About