
Olumuyiwa Taiwo Amusan- Ph.D.M.Sc, B.Sc
- Doctoral Student at University of Johannesburg
Olumuyiwa Taiwo Amusan
- Ph.D.M.Sc, B.Sc
- Doctoral Student at University of Johannesburg
About
14
Publications
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Introduction
Olumuyiwa Amusan is currently a doctoral student at the Department of Electrical and Electronic Engineering Science, University of Johannesburg, South Africa. His research interests are in renewable energy harvesting and integration, power systems analysis, transmission and distribution, and distributed generation.
Current institution
Publications
Publications (14)
The water pumping system is a vital daily operation for a sustainable society. The demand for this essential commodity is progressively growing around the world. Incorporating renewable energy sources (RES) into its operation mitigates adverse environmental effects stemming from greenhouse gas (GHG) emissions and reduces associated costs linked to...
One of the ways to increase the participation and penetration of renewable energy resources is to bring down the cost of these abundant resources for easy implementation and affordability. In this paper, a generalized reduced gradient (GRG) non‐linear optimization algorithm is implemented to solve a tri‐objective optimal design and sizing of a low‐...
Water desalination plants powered by solar energy represent a viable solution for addressing a part of the water needs in areas without a reliable water supply. In this case extending the electric grid and water delivery to remote communities remain challenging for some countries. Using Namibia as a case study, this work carried out a feasibility s...
Standalone energy generation is revolutionizing electricity production and consumption by offering decentralized and sustainable options, benefiting communities, enhancing resilience, and reducing dependence on traditional power grids. Nevertheless, standalone electricity systems can face overloading issues when demand varies or exceeds capacity, n...
Demand side management (DSM) and demand response (DR) is an area of the smart grid paradigm that helps utilities shape the demand according to a predetermined load profile. In this paper, the state-of-the-art of DR in literature is overviewed. This paper discusses the various DR programmes, DR benefits and challenges, new smart grid technologies fo...
This paper investigates the modelling and multi-objective optimization (using Non-dominated Sorting Genetic Algorithm (NSGA-II)) of a photovoltaic-battery-hydrogen hybrid renewable energy system (HRES) for a net zero energy building (NZEB) that is a five-bedroom duplex detached residential house located in the heart of Lagos, Nigeria. Three battery...
For the sustainability of power supply and operation systems, planners aim to deliver power at an optimum value to consumers, while maintaining stability in the system. The load-shedding approach has proven to be an effective means of achieving the desired stability. This paper presents a nodal analysis to establish critical bus identification in t...
OPTIMIZATION OF IEEE 30 BUS USING IoT ENABLED LOAD SHEDDING
This paper presents the technical, economic and environmental benefit of meeting the water requirements of some selected communities in 3 regions of Oyo state, using off-grid wind energy conversion system. The study is conducted using 16 years (2000-2015) daily average wind speed data obtained from Nigeria Meteorological Agency (NIMET), Oshodi, Lag...
The possibility of utilizing wind energy for electricity generation at 15 different sites across the 6
geographical zone of Nigeria is investigated in this paper with the aim of providing scientific information
that can lead to optimal investment in wind technology for electricity generation. The data used for the
study were obtained from the Niger...
Questions
Questions (2)
I need the best optimization mix model to properly plan a DG on distribution system.
Considering all the optimization models available, you have chosen to use ant colony. Kindly help highlight some benefits unique to this method.