Zobrazeno 1 - 10
of 116
pro vyhledávání: '"M. Tariq Iqbal"'
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 4, Pp 1165-1175 (2023)
This paper aims to improve the performance of the conventional perturb and observe (P&O) maximum power point tracking (MPPT) algorithm. As the oscillation around the maximum power point (MPP) is the main disadvantage of this technique, we introduce a
Externí odkaz:
https://doaj.org/article/c2f0e800e7fe48caac2bd9c80378fa40
Publikováno v:
Electronics, Vol 25, Iss 2, Pp 39-49 (2021)
With advancements in renewable energy technologies, consumers are becoming prosumers, and renewable energy resources are being used in distributed networks. In an isolated distributed system, peer-to-peer (P2P) energy trading is one of the most pro
Externí odkaz:
https://doaj.org/article/f990501106ff411bba8c64e75e6fdf9d
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 5733-5746 (2021)
An open-source P2P energy trading platform facilitates energy trading amongst the peers. The proposed system provides real time data acquisition, monitoring and control of self-generated energy at a remote location. The trading activities are done on
Externí odkaz:
https://doaj.org/article/09dfdba91cb1457384274e4708fc05b3
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 5, Iss 1, Pp 1-23 (2021)
Most of the active current sharing methods are based on a communication network. The communication link is also used with the improved droop control methods to achieve a precise load current sharing and regulate the voltage at the common DC bus. Conv
Externí odkaz:
https://doaj.org/article/e7e70d5fd09e44f5b16ce2a7d24b7043
Publikováno v:
Journal of Chemical and Petroleum Engineering, Vol 54, Iss 2, Pp 235-251 (2020)
Reciprocating piston artificial lift systems are widely adopted especially, for onshore wells. Matching the pump mode to well and reservoir conditions reduces the pumping cost and increases the efficiency of production. Parameters influencing the ene
Externí odkaz:
https://doaj.org/article/0edd8505d12a4a31ae0839076e6228f3
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 4, Iss 3, Pp 303-325 (2020)
This paper proposes a LoRa-based wireless communication system for data transfer in microgrids. The proposed system allows connection of multiple sensors to the LoRa transceivers, and enables data collection from various units within a microgrid. The
Externí odkaz:
https://doaj.org/article/ba93681cfd8e44a99bb867d239d1aff7
Autor:
Lawrence O. Aghenta, M. Tariq Iqbal
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 4, Iss 1, Pp 57-86 (2020)
Distributed assets, such as hybrid power system components, require reliable, timely, and secure coordinated data monitoring and control systems. Supervisory Control and Data Acquisition (SCADA) is a technology for the coordinated monitoring and cont
Externí odkaz:
https://doaj.org/article/6ba2a38ebbd64cd4b8bbbcfee97f561a
Publikováno v:
Energies, Vol 15, Iss 14, p 5080 (2022)
In this study, we present a Direct Model Reference Adaptive Control (DMRAC) algorithm in a boost converter used in islanded microgrids (MG) with a solar photovoltaic (PV) system. Islanded types of microgrids have very sensitive voltage and frequency
Externí odkaz:
https://doaj.org/article/41e78206e357450fac124fb23090a138
Publikováno v:
Energies, Vol 15, Iss 13, p 4862 (2022)
A low-cost, open-source peer-to-peer (P2P) energy trading system for a remote community is presented in this paper. As a result of its geographic location, this community has never been able to access electricity and other modern amenities. This stud
Externí odkaz:
https://doaj.org/article/7ab6c1f9cce24da8a2acb6c9ca631f23
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2020 (2020)
DC microgrids are gaining more attention compared to AC microgrids due to their high efficiency and uncomplicated interconnection of renewable sources. In standalone DC microgrid, parallel-connected converters connect the storage system to the load.
Externí odkaz:
https://doaj.org/article/d4e7db1865cb4faead99658c4eb8e71f