Hydropower Potential Assessment of Four Selected Sites in the North Interconnected Network of Cameroon

Dieudonné, Kidmo Kaoga; Bajaj, Mohit; Kitmo,; Rubanenko, Olena; Jurado, Francisco; Kamel, Salah

doi:10.1109/ica-acca56767.2022.10005948

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Numerous studies have suggested scenarios for load shedding or strengthening using primary sources. In addition to these methods, energy optimization and planning models employ mathematical approaches and strategies based on deep learning or artificial intelligence (AI) [19]. Some algorithms are used based on system complexity.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Placement and Sizing of Distributed Generations for Power Losses Minimization Using PSO-Based Deep Learning Techniques

Ngoussandou,

Nisso,

Kidmo

et al. 2023

SGRE

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The integration of distributed generations (DGs) into distribution systems (DSs) is increasingly becoming a solution for compensating for isolated local energy systems (ILESs). Additionally, distributed generations are used for self-consumption with excess energy injected into centralized grids (CGs). However, the improper sizing of renewable energy systems (RESs) exposes the entire system to power losses. This work presents an optimization of a system consisting of distributed generations. Firstly, PSO algorithms evaluate the size of the entire system on the IEEE bus 14 test standard. Secondly, the size of the system is allocated using improved Particles Swarm Optimization (IPSO). The convergence speed of the objective function enables a conjecture to be made about the robustness of the proposed system. The power and voltage profile on the IEEE 14-bus standard displays a decrease in power losses and an appropriate response to energy demands (EDs), validating the proposed method.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Placement and Sizing of Distributed Generations for Power Losses Minimization Using PSO-Based Deep Learning Techniques

Ngoussandou,

Nisso,

Kidmo

et al. 2023

SGRE

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Optimal energy scheduling method for the North Cameroonian interconnected grid in response to load shedding

Ngoussandou,

Nisso,

Kidmo

et al. 2023

Sustainable Energy res.

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Renewable energy sources like sun and wind are intermittent, hence a hybrid system incorporating them is necessary. However, certain systems are more cost-effective and efficient than others, and they are not only more expensive but also far more harmful to the environment. To make up for the energy shortage in unconnected remote regions and urban areas with linked networks, renewable energies offer an alternative. This effort is focused on eliminating both load shedding and the pollution caused by conventional power plants that burn fossil fuels. In order to improve the interconnected Northern Cameroon grid, researchers looked into the possibility of using the permanently accessible sun and wind at the Waibé-Lokoro-Kalfou location in Cameroon. For the hot and humid climate of Waibé-Lokoro, Cameroon, based on four distributed generations, four combinations were established in the scenario. The goal was to maximize the net present value while minimising the energy expense. Electricity costs were found to drop from USD 0.097/kWh to USD 0.085/kWh under the PV-Wind-Grid-Battery scenario, saving a total of USD 0.54 million in net present cost. The particle swarm optimization method (PSO), genetic algorithmic algorithm (GA), cuckoo search approaches (CSA), as well as whale optimization algorithm (WOA) were utilized to calculate power losses as well as system size allocation. PSO was the only algorithm to converge quickly. The level of distortion caused by harmonics is measured experimentally to verify that power grid connectivity regulations are being followed. The standards for the IEEE 33-bus as well as IEEE 69-bus tests provide more precise voltage profiles for use in loss evaluation. Graphical Abstract

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Hydropower Potential Assessment of Four Selected Sites in the North Interconnected Network of Cameroon

Cited by 2 publications

References 10 publications

Optimal Placement and Sizing of Distributed Generations for Power Losses Minimization Using PSO-Based Deep Learning Techniques

Optimal Placement and Sizing of Distributed Generations for Power Losses Minimization Using PSO-Based Deep Learning Techniques

Optimal energy scheduling method for the North Cameroonian interconnected grid in response to load shedding

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