Cost-effective energy management systems strategy in optimization of photovoltaic for grid-connected system

Renewable Energy Source (RES) based Distributed Generation (DG) like Photovoltaic (PV) is widely integrated into the distribution network, particularly for residential. With proper planning, the installation of optimal PV in the network is capable of minimizing the dependency on the power grid gener...

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Bibliographic Details
Main Authors: Shamsuddin, Noor Ilham, Md. Rasid, Madihah, Anuar, Mohd. Shafiq
Format: Article
Language:English
Published: Penerbit UTM Press 2023
Subjects:
Online Access:http://eprints.utm.my/105046/1/MadihahMdRasid2023_CostEffectiveEnergyManagementSystems.pdf
http://eprints.utm.my/105046/
http://dx.doi.org/10.11113/jurnalteknologi.v85.17688
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Summary:Renewable Energy Source (RES) based Distributed Generation (DG) like Photovoltaic (PV) is widely integrated into the distribution network, particularly for residential. With proper planning, the installation of optimal PV in the network is capable of minimizing the dependency on the power grid generation. However, the optimum use of solar energy has been limited by the weather and the load variation. At the particular time, the generated PV output is not fully utilized during the minimum load. The excessive generation of PV power occurs and causes an increase in the cost of electricity consumption. Therefore, the purpose of this paper is to optimize the PV size for the grid-connected system considering the Battery Energy Storage System (BESS) and the proper Energy Management System (EMS) Strategy in order to reduce the grid power consumption. BESS is introduced to store the excess PV power generated during peak hours, while the cost-effective EMS strategy is proposed to ensure the RES is fully employed. The number of PV panels is optimized using Particle Swarm Optimization (PSO) technique. The implementation of PSO in optimising PV size can reduce the number of PV panels by 21% compared to the conventional method.