Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid

Nasir, Tehreem; Raza, Safdar; Abrar, Muhammad; Muqeet, Hafiz Abdul; Jamil, Harun; Qayyum, Faiza; Cheikhrouhou, Omar; Alassery, Fawaz; Hamam, Habib

doi:10.3390/s21217133

Cited by 39 publications

(23 citation statements)

References 49 publications

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“…Mixed-integer linear programming (MILP) formulates the restoration problem of various network and TESS constraints solved using Gurobi optimizer. Gurobi optimizer is used to resolve the problems of MILP and MINLP [ 129 , 130 ]. The Gurobi Optimizer is commercialized for mixed-integer linear programming (MILP), quadratically constrained programming (QCP), quadratic programming (QP) [ 131 ], linear programming (LP) [ 132 ], mixed-integer quadratically constrained programming (MIQCP), and mixed-integer quadratic programming (MIQP).…”

Section: Multiple Approaches Used For Optimal Scheduling Of Campus Mi...mentioning

confidence: 99%

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muqeet

Javed

Akhter

et al. 2022

Sensors

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Distributed generation connected with AC, DC, or hybrid loads and energy storage systems is known as a microgrid. Campus microgrids are an important load type. A university campus microgrids, usually, contains distributed generation resources, energy storage, and electric vehicles. The main aim of the microgrid is to provide sustainable, economical energy, and a reliable system. The advanced energy management system (AEMS) provides a smooth energy flow to the microgrid. Over the last few years, many studies were carried out to review various aspects such as energy sustainability, demand response strategies, control systems, energy management systems with different types of optimization techniques that are used to optimize the microgrid system. In this paper, a comprehensive review of the energy management system of campus microgrids is presented. In this survey, the existing literature review of different objective functions, renewable energy resources and solution tools are also reviewed. Furthermore, the research directions and related issues to be considered in future microgrid scheduling studies are also presented.

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Section: Multiple Approaches Used For Optimal Scheduling Of Campus Mi...mentioning

confidence: 99%

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Muqeet

Javed

Akhter

et al. 2022

Sensors

Self Cite

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show abstract

“…Almost all developed countries, such as the United States, China, Germany, Japan, and Australia, are developing their infrastructure and technologies related to EVs [26][27][28][29][30][31]. Different energy management schemes are being devised to integrate EVs with our energy systems quickly and efficiently [32]. It is predicted that EVs will contribute a major share of future sales of new vehicles [33].…”

Section: Introductionmentioning

confidence: 99%

Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study

et al. 2022

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The popularity of electric vehicles (EVs) is increasing day by day due to their environmentally friendly operation and high milage as compared to conventional fossil fuel vehicles. Almost all leading manufacturers are working on the development of EVs. The main problem associated with EVs is that charging many of these vehicles from the grid supply system imposes an extra burden on them, especially during peak hours, which results in high per-unit costs. As a solution, EV charging stations integrated with hybrid renewable energy resources (HREs) are being preferred, which utilize multi-energy systems to produce electricity. These charging stations can either be grid-tied or isolated. Isolated EV charging stations are operated without any interconnection to the main grid. These stations are also termed standalone or remote EV charging stations, and due to the absence of a grid supply, storage becomes compulsory for these systems. To attain maximum benefits from a storage system, it must be configured properly with the EV charging station. In this paper, different types of the latest energy storage systems (ESS) are discussed with a comprehensive review of configurations of these systems for multi-energy standalone EV charging stations. ESS in these charging stations is applied mainly in three different configurations, named single storage systems, multi-storage systems, and swappable storage systems. These configurations are discussed in detail with their pros and cons. Some important expectations from future energy storage systems are also highlighted.

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“…In these studies, the authors focused on the power quality improvement of standalone AC/DC hybrid microgrids using artificial-intelligence-based control schemes for energy and load management. Moreover, other works [22][23][24][25] related to microgrids and their operation have been carried out in recent times. These researchers focused on microgrids based on various parameters, such as design configuration, grid stability based on demand side response, techno-economic analysis, operation for small scale facilities, and environmental impact, using a new computational approach.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Dynamic Control Based Optimization of Renewable Energy Resources for Grid-Tied Microgrids

et al. 2022

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Renewable-energy-resource-based microgrids can overcome excessive carbon footprints and increase the overall economic profile of a country. However, the intermittent nature of renewables and load variation may cause various control problems which highly affect the power quality (frequency and voltages) of the overall system. This study aims to develop an adaptive technique for the optimization of renewable energy resources (RERs). The proposed grid-tied microgrid has been designed using a wind-turbine (WT) based distributed generation, a photovoltaic (PV) system, a diesel generator as an emergency backup, and battery energy storage system (BESS). The flexible (residential) and non-flexible (industrial) loads are connected with the proposed grid. Matlab/Simulink has been used to evaluate the performance of the proposed optimization technique. Comparison with different in-use techniques shows that the proposed technique is more reliable and efficient than the state of the art optimization techniques currently in use. Moreover, this proposed system provides robust optimization of parameters of concern such as frequency and voltages, makes efficient use of the maximum power point tracking while regulating voltages, reduces the overall system cost, and increases economic profitability.

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Optimal Scheduling of Campus Microgrid Considering the Electric Vehicle Integration in Smart Grid

Cited by 39 publications

References 49 publications

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges

Latest Energy Storage Trends in Multi-Energy Standalone Electric Vehicle Charging Stations: A Comprehensive Study

Adaptive Dynamic Control Based Optimization of Renewable Energy Resources for Grid-Tied Microgrids

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