Size Optimization and Sensitivity Analysis of Hybrid Wind/PV Micro-Grids- A Case Study for Bangladesh

Nurunnabi, Md.; Roy, N. K.; Hossain, Eklas; Pota, H. R.

doi:10.1109/access.2019.2945937

Cited by 116 publications

(46 citation statements)

References 37 publications

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“…[10]. Hybrid microgrids can be an alternative energy supply in remote areas and they have already been used in several countries for the electrification of rural areas or islands [11][12][13][14][15][16][17][18][19][20].…”

Section: Geographic Location and Climatementioning

confidence: 99%

Techno-Economic Feasibility Analysis through Optimization Strategies and Load Shifting in Isolated Hybrid Microgrids with Renewable Energy for the Non-Interconnected Zone (NIZ) of Colombia

2020

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In developing countries, electrification in remote areas, where access to energy is limited or null, has been one of the biggest challenges in recent years. Isolated microgrids with renewable generation are an efficient alternative for the energy supply in these areas. The objective of this work was to analyse the techno-economic viability of 6 isolated microgrids in different locations in the non-interconnected zone of Colombia, considering different climatic conditions, the availability of renewable resources, the current consumption profile, and a modified profile applying demand-side management. Modelling and simulation were performed considering storage systems based on lithium and lead-acid batteries. The resulting simulations provide the optimal system cost, emissions levels, electricity cost and battery lifetime. This study demonstrates that isolated hybrid microgrids with renewable energy are a feasible alternative to solve access to energy problems, reducing the need for diesel generators and optimizing the use of renewable energies and battery-based storage systems.

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Section: Geographic Location and Climatementioning

confidence: 99%

Techno-Economic Feasibility Analysis through Optimization Strategies and Load Shifting in Isolated Hybrid Microgrids with Renewable Energy for the Non-Interconnected Zone (NIZ) of Colombia

2020

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“…Results showed the best configuration of the hybrid energy system for both standalone and grid-connected modes in term of cost of energy. In [9,10], the authors used HOMER to find optimal configuration of a hybrid energy system that satisfies a load demand in different locations. However, HOMER has some limitations, such as black box coding, different working platforms, single-objective optimisation and inflexibility regarding optimisation techniques [11,12].…”

Section: Literature Survey and Contributionsmentioning

confidence: 99%

Hybrid energy system design using greedy particle swarm and biogeography‐based optimisation

Abuelrub

Khamees

Ababneh

et al. 2020

IET Renewable Power Generation

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Renewable energy systems (RESs) are affordable, clean and sustainable. However, their output power is intermittent. Therefore, RESs are usually combined with an energy storage system or conventional sources to make the overall operation uninterruptable. Optimal sizing of hybrid energy system components is imperative to be financially and technically feasible. In this study, a multi-objective optimisation based on a hybrid optimisation procedure, which combines the exploitation ability of the biogeography-based optimisation (BBO) with the exploration ability of the particle swarm optimisation (PSO), is used to handle the system design. This algorithm is known as greedy particle swarm and BBO algorithm (GPSBBO). Weighted sum method is added to the GPSBBO to handle the multi-objective nature of the design problem. A case study for a hybrid wind-PV energy system design in the standalone and grid-connected configurations is presented to illustrate the proposed method. Coverage of two sets, hypervolume and diversity performance indices are used to compare results of the proposed method to nondominated sorting genetic algorithm and the multi-objective PSO. These indices show an improved performance of the suggested method in finding the optimal system design.

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“…Unpredictable fuel prices and environmental consequences of extensive fuel consumption resulted in attracting the attention of experts to renewable energy (RE) or alternative energy resources. Electric power generation by photovoltaic (PV) and wind power (WP) has played a vital role due to their easy availability and harmless nature [1,2]. The RE sources can be integrated with the main electric power grid, which resulted in the emergence of microgrid (MG) and smart grid.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, it might also be argued that wind turbine and solar photovoltaic technology structures are the most extensively adopted and hooked up technologies. As mentioned in [1], electrical energy from RES such as WT and PV will quickly be decreased at lower costs than electricity. Depending on the size, properties and characteristics of WT and PV technological knowhow producers can have a considerable have an effect on strength effectivity in phrases of monetary symptoms such as electrical energy fees in thermal power plants, electricity first rate indicators and electricity loss.…”

Section: Introductionmentioning

confidence: 99%

A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter

Ab-BelKhair

Rahebi

Nureddin

2020

International Journal of Photoenergy

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Presently, climate change and global warming are the most uncontrolled global challenges due to the extensive fossil fuel usage for power generation and transportation. Nowadays, most of the developed countries are concentrating on developing alternative resources; consequently, they did huge investments in research and development. In general, alternative energy resources including hydropower, solar power, and wind energy are not harmful to nature. Today, solar power and wind power are very popular alternative energy sources due to their enormous availability in nature. In this paper, the photovoltaic cell and wind energy systems are investigated under various weather conditions. Based on the findings, we developed an advanced intelligent controller system that tracks the maximum power point. The MPPT controller is a must for the renewable energy sources due to unpredictable weather conditions. The main objective of this paper is to propose a new algorithm that is based on deep neural network (DNN) and maximum power point tracking (MPPT), which was simulated in a MATLAB environment for photovoltaic (PV) and wind-based power generation systems. The development of an advanced DNN controller that improves the power quality and reduces THD value for the microgrid integration of hybrid PV/wind energy system was performed. The MATLAB simulation tool has been used to develop the proposed system and tested its performance in different operating situations. Finally, we analyzed the simulation results applying the IEEE 1547 standard.

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Size Optimization and Sensitivity Analysis of Hybrid Wind/PV Micro-Grids- A Case Study for Bangladesh

Cited by 116 publications

References 37 publications

Techno-Economic Feasibility Analysis through Optimization Strategies and Load Shifting in Isolated Hybrid Microgrids with Renewable Energy for the Non-Interconnected Zone (NIZ) of Colombia

Techno-Economic Feasibility Analysis through Optimization Strategies and Load Shifting in Isolated Hybrid Microgrids with Renewable Energy for the Non-Interconnected Zone (NIZ) of Colombia

Hybrid energy system design using greedy particle swarm and biogeography‐based optimisation

A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter

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