Optimization of wind/solar energy microgrid by division algorithm considering human health and environmental impacts for power-water cogeneration

Kiehbadroudinezhad, Mohammadali; Merabet, Adel; Rajabipour, Ali; Čada, Michael; Kiehbadroudinezhad, Shahideh; Khanali, Majid; Hosseinzadeh-Bandbafha, Homa

doi:10.1016/j.enconman.2021.115064

Cited by 44 publications

(17 citation statements)

References 47 publications

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“…(1) The solar module: the solar energy P solar is calculated by [22][23][24][25]: where E represents the solar radiation in units of W/ m 2 , I solar is the solar current, and V DC is the DC-bus voltage. The radiation data are illustrated in Appendix A.…”

Section: Hybrid Energy Model Matlab Simscape Electrical™mentioning

confidence: 99%

“…A default PEMFC current of 20 A was set with the highest efficiency (5) The power management module: the PEMFC output current was adjusted according to the battery SOC. The original management was as follows [22][23][24][25]:…”

Section: Hybrid Energy Model Matlab Simscape Electrical™mentioning

confidence: 99%

“…Wang et al [22] studied a hybrid energy system consisting of PV, WTs, PEMFCs, hydrogen electrolyzers, chemical hydrogen generation, and batteries and showed that adjusting the component sizes could significantly improve system costs and reliability. Kiehbadroudinezhad et al [23] considered a stand-alone hybrid energy system consisting of PV panels, WTs, batteries, and a diesel generator. They applied the division algorithm to optimize a multiobjective problem regarding costs, environmental impacts, and reliability.…”

Section: Introductionmentioning

confidence: 99%

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Superior Optimization for a Hybrid PEMFC Power System Employing Model Predictions

Wang

2023

International Journal of Energy Research

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This research investigated the impacts of model prediction on the optimization of hybrid energy systems using a system consisting of solar panels, batteries, a proton exchange membrane fuel cell (PEMFC), and a chemical hydrogen generation system. A PEMFC has several advantages, such as low operating temperatures, fast response times, high power density, and environmental friendliness, and it can convert hydrogen into electricity. However, because hydrogen costs are an important consideration, the PEMFC is usually integrated with hybrid energy systems to guarantee system sustainability. Therefore, in this study, a whole-year household load and solar radiation data were applied to optimize the system components and power management, thereby reducing the system cost by 42.43% and improving system sustainability by 7.05%. The system responses showed that some hydrogen consumption might be saved if the solar and load profiles could be foreseen. Two prediction models were developed that could accurately forecast the radiation and load profiles. Next, a second-year dataset was employed to verify the effectiveness of the model prediction. The results showed that the system cost was reduced by 40.20% without model prediction and by 44.06% with model prediction compared to the original system settings. Finally, experiments to illustrate the feasibility of the hybrid energy system were conducted using prediction models. Based on the results, the model prediction was deemed effective in improving the performance of hybrid energy systems.

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Section: Hybrid Energy Model Matlab Simscape Electrical™mentioning

confidence: 99%

Section: Hybrid Energy Model Matlab Simscape Electrical™mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Superior Optimization for a Hybrid PEMFC Power System Employing Model Predictions

Wang

2023

International Journal of Energy Research

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“…The most effective utilization of a scenario or available circumstances/resources is a stitch in time, considering the current energy situation. Many studies are presented and are under consideration dealing with the optimization of diverse scenarios, from all walks of life [47][48][49][50]. The current study may form a base for comparative efficiency analysis of AC and DC distribution systems with the DC system incorporating the suggested scheme of modular architecture.…”

Section: Conclusion and Future Recommendationsmentioning

confidence: 99%

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

et al. 2022

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The battle of currents between AC and DC reignited as a result of the development in the field of power electronics. The efficiency of DC distribution systems is highly dependent on the efficiency of distribution converter, which calls for optimized schemes for the efficiency enhancement of distribution converters. Modular solid-state transformers (SSTs) play a vital role in DC distribution networks and renewable energy systems (RES). This paper deals with efficiency-based load distribution for solid-state transformers (SSTs) in DC distribution networks. The aim is to achieve a set of minimum inputs that are consistent with the output while considering the constraints and efficiency. As the main feature of modularity is associated with a three-stage structure of SSTs, this modular structure is optimized using ant lion optimizer (ALO) and validated by applying it to the EIA (Energy Information Agency) DC distribution network which contains SSTs. In the DC distribution grid, modular SSTs provide the promising conversion of DC power from medium voltage to lower DC range (400V). The proposed algorithm is simulated in MATLAB and also compared with two other metaheuristic algorithms. The obtained results prove that the proposed method can significantly reduce the input requirements for producing the same output while satisfying the specified constraints.

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“…Until recent years, distributed generation (i.e., wind turbines and photovoltaic panels) and renewable sources (i.e., bioenergy) were used only as backup power generation sources and were not considered the primary energy source [ 13 ]. In addition, due to the unpredictable nature of renewable energy sources, these sources have low reliability, leading to disrupting the balance and stability of the power generator unit.…”

Section: Introductionmentioning

confidence: 99%

The role of biofuels for sustainable MicrogridsF: A path towards carbon neutrality and the green economy

Kiehbadroudinezhad¹,

Merabet²,

Ghenaï³

et al. 2023

Heliyon

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Optimization of wind/solar energy microgrid by division algorithm considering human health and environmental impacts for power-water cogeneration

Cited by 44 publications

References 47 publications

Superior Optimization for a Hybrid PEMFC Power System Employing Model Predictions

Superior Optimization for a Hybrid PEMFC Power System Employing Model Predictions

Comparison of Efficiency-Based Optimal Load Distribution for Modular SSTs with Biologically Inspired Optimization Algorithms

The role of biofuels for sustainable MicrogridsF: A path towards carbon neutrality and the green economy

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