Economic and environmental benefits of increasing the renewable energy sources in the power system

Nassar, Ibrahim A.; Hossam, Kholoud; Abdella, Mahmoud M.

doi:10.1016/j.egyr.2019.08.006

Cited by 39 publications

(12 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Renewable energy sources (RESs) and electric vehicles (EVs) are the alternative, sustainable, and environmentally friendly solutions to the energy generation 4 and transportation sector, 5 respectively. The main advantages of RES, compared with the conventional power plants, are that they do not emit harmful greenhouse gasses, their use leads to a reduction in air and sea pollution, they are replenished, 6,7 and their adoption offers several economic benefits 8 . Solar and wind energy form two of the major RESs 9 .…”

Section: Introductionmentioning

confidence: 99%

An intelligent decentralized energy management strategy for the optimal electric vehicles' charging in low‐voltage islanded microgrids

Boglou

Karavas

Karlis

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

Summary The expected significant growth in global electricity demand, followed by the adoption of green energy sources, led to the modernization of the energy distribution grids, such as the development of microgrids that can improve the reliability of the electric power system. Meanwhile, the increased integration of electric vehicles is expected to have a negative impact on power quality, normal operation, and investment costs of the microgrid. In this paper, a microgrid topology was studied for the islanded operation of a low‐voltage distribution network. The deployment of such energy management systems is essential to guarantee the safe and reliable operation of isolated microgrids. Hence, a decentralized energy management system, based on multi‐agent systems, was developed for the efficient charging of electric vehicles, by expanding a state‐of‐the‐art fuzzy logic controller‐based energy management strategy, in combination with a charging power controller, based on fuzzy cognitive maps. According to the authors' best knowledge, this is the first time that fuzzy cognitive maps theory is introduced in EVs' charging management problems. The performance of the proposed multi‐agent decentralized energy management system presented significant reduction in the investment costs of the microgrid, as compared with the use of a sole fuzzy logic controller‐based energy management strategy. The total cost of the microgrid for a 20‐year investment period is decreased by approximately 8.8%. Furthermore, the incorporation of the fuzzy cognitive maps‐based charging power controller leads to a significant amount of chargeable EVs. The mean chargeable EVs increased by 31%. Finally, the proposed energy management system reduces the peak load and load variances approximately 17% and 29%, respectively, without shifting and delaying the charging of the EVs. Hence, the proposed novel charging management system offers an intelligence approach for islanding distribution grids including the high penetration of electric vehicles by presenting operational and financial benefits.

show abstract

Section: Introductionmentioning

confidence: 99%

An intelligent decentralized energy management strategy for the optimal electric vehicles' charging in low‐voltage islanded microgrids

Boglou

Karavas

Karlis

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…Egypt's expanding economy, rapid population growth, and bull market require an increase in energy generation. For those reasons, the Egyptian government has set several goals to meet the gradual increase in energy production and to use that energy for more economic development 2 . The government aims to achieve short‐term objectives to increase renewable energy electricity production to at least 50% of the total national energy production.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of photovoltaic power farms using a new power prediction approach

Ibrahim

Belanger

Shehata

et al. 2021

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Solar energy power prediction is a vital process for designing and operating solar power plants to evaluate the system performance and reduce the cost of grid management as it decreases the grid imbalance for a more stable grid. This study introduces a new power prediction approach to enhance the power prediction quality by combining different solar models. The study investigates the performance of 4.5 MWp solar field located at the California Polytechnic State University at San Luis Obispo, California, United States to validate this new approach. The system is real‐time monitored for 1 year to study its performance. A representative identical model for the actual farm is then designed and built on a solar performance modeling software to validate the software. The actual energy generation of the field is compared with the predicted energy. The model is optimized by selecting different transposition and decomposition models to achieve the most accurate energy prediction. After that, the model is used in a computational framework to predict the energy injected into the grid for photovoltaic solar farms in Egypt based on the new approach methodology. Egypt is considered a solar belt country. Following the validation, a pilot model is used to predict energy generation for the selected locations in Egypt. Egypt's case study is then used as a pilot project to optimize some design parameters to study its effect and the suitability of the power generation in Egypt's weather. The results show that the relative error using the new approach for the whole year when using the proposed approach of combining the solar models is 2.9%. The performance ratio of the actual farm is 79% for the whole year, and the total energy produced is 10.92 GWh/year. The power prediction for the Egyptian sites concludes that 14 GWh/year energy potential can be achieved from the Red Sea location from the suggested model and the most suitable modules are polycrystalline. Furthermore, predicting a 13% increase in power generation due to using tracking technology compared with the usage of polycrystalline with fixed mounts.

show abstract

“…As mainly influenced by weather and environmental factors, uncertain power injection from renewable based power generation potentially alter power flow, effects transmission lines congestion and influences voltage profiles of the power system. The beneficial effects of integrating such energy resources in environmental and economic point of view are presented in [4,5]. It was reported that bringing renewable energy results in reduction in environmental and fuel costs.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Voltage Profiles Analysis of Power System with Large Scale Wind Power Integration

Krismanto¹

2021

IJIES

View full text Add to dashboard Cite

One of the main focus in integrating large scale wind power plant is how to maintain voltage stability under different power injection from wind farm. In this paper, effects of large-scale wind power plants on voltage profile of power system is investigated. Practical test system of South-West Sulawesi, Indonesia with integration of two large scale wind power plants are considered. It was monitored that the increasing wind enhanced the voltage profile of the system. Impacts of wind power integration on power system voltage profile were investigated in this paper. Probability analaysis based on MCS were conduted to observe the impacts of uncertain power injection from wind farm on voltage fluctuation. It was clearly monitored that the probability distribution of bus voltage varied accordingly depending to location and capacity of wind farm. It was also monitored that enhancement of voltage profiles increased in proportion with power injection from wind farm. Thus, having more power production from wind farm results in better loadability and eventually improved voltage stability condition of power system as shown in bus 31 (the voltage magnitude increased from 0.942 to 0.952 pu).

show abstract

Economic and environmental benefits of increasing the renewable energy sources in the power system

Cited by 39 publications

References 5 publications

An intelligent decentralized energy management strategy for the optimal electric vehicles' charging in low‐voltage islanded microgrids

An intelligent decentralized energy management strategy for the optimal electric vehicles' charging in low‐voltage islanded microgrids

Enhancement of photovoltaic power farms using a new power prediction approach

Probabilistic Voltage Profiles Analysis of Power System with Large Scale Wind Power Integration

Contact Info

Product

Resources

About