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

Muqeet, Hafiz Abdul; Javed, Haseeb; Akhter, Muhammad Naveed; Shahzad, Muhammad; Munir, Hafiz Mudassir; Nadeem, Muhammad Usama; Bukhari, Syed Sabir Hussain; Huba, Mikuláš

doi:10.3390/s22062345

Cited by 54 publications

(29 citation statements)

References 134 publications

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“…A study that approaches similar issues is [22], having results obtained by a planning simulator of a campus spanned across 26,000 m 2 , using Low-Power Wide-Area Networks (LPWANs) to provide low-cost, low-power connectivity consumption. This also makes the case of the energy management issue, with solutions such as a "microgrid" campus to provide sustainable, economical, and reliable energy [23]. The microgrid would be built by distributed generators of AC, DC, hybrid loads, and an energy storage system.…”

Section: Mobility In a Public Spacementioning

confidence: 99%

Community- and Data-Driven Services for Multi-Policy Pedestrian Routing

Damian

Ioniţă

Anton

2022

Sensors

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Pedestrian routing is important in a multitude of public spaces, especially those characterized by a large number of newcomers. Their needs may be diverse, with priority for the shortest path, the less crowded or the less polluted one, the accessibility for reduced mobility, or the sheltering from unfavorable weather conditions. Hence, typical graph-based routing must be enriched to support multiple policies, at the choice of each person. The paper proposes a systemic approach and a set of services for orientation and accessibility, which are both community-driven and data-driven, for correctly perceiving the routing necessities and the surrounding situation. The response time to a pathfinding query depends on the types of policies applied and not only on their number, because each of them contributes to the customization of the weighted graph, although it refers to the same physical space traversed by pedestrians. The paper also presents results of loading tests for up to 5000 Virtual Users, inspired from real-life requirements and executed on a graph that models a real building in our university; different policies are applied to assess performance metrics, with simulated community feedback and sensor data.

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Section: Mobility In a Public Spacementioning

confidence: 99%

Community- and Data-Driven Services for Multi-Policy Pedestrian Routing

Damian

Ioniţă

Anton

2022

Sensors

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“…As renewable energy technologies such as photovoltaic (PV) and wind turbines continue to advance, China is steadily advancing low‐carbonization goals 2,3 . To efficiently consume renewable energy and improve energy utilization efficiency, microgrid (MG) technology is widely applied 4,5 . An MG is an integration of loads, distributed generation, and energy storage systems (ESSs) that cooperatively operate to supply power 6,7 .…”

Section: Introductionmentioning

confidence: 99%

“…2,3 To efficiently consume renewable energy and improve energy utilization efficiency, microgrid (MG) technology is widely applied. 4,5 An MG is an integration of loads, distributed generation, and energy storage systems (ESSs) that cooperatively operate to supply power. 6,7 It has the advantages of improving power supply reliability and flexibility in operation.…”

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confidence: 99%

Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

Zheng,

Li,

Yuan

2024

Energy Science & Engineering

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In recent years, energy sharing has attracted a lot of attention. However, the intermediate platforms in centralized energy‐sharing methods cause the rapid growth of communication complexity and the risk of privacy leakage. Unlike complex energy‐sharing market mechanisms, in this paper, a simple and efficient distributed energy sharing for microgrids (MGs) is proposed, where game theory is employed to form flexible prices for prosumers and only local information is used to improve the privacy protection of prosumers. First, prosumers located in different areas are characterized more precisely and a two‐tier carbon emission cost model is built. Next, a game‐theory‐based distributed energy‐sharing model is proposed, where a flexible pricing mechanism is developed to enable prosumers to independently reach price agreements and achieve supply–demand balance within MGs. In the process, optimization models for obtaining equilibrium are formed and only local information is needed. However, solving these optimization models is generally time‐consuming. So, a distributed optimization method based on weighted subgradients is proposed to accelerate the equilibrium‐finding process. Finally, four cases are designed, and simulation results demonstrate that the prosumers' costs of our method are reduced by 7.5%–22.5% compared to the costs obtained by feed‐in tariff. Moreover, in the case of solving the distributed trading model for an MG at a 24‐h time scale, the iteration numbers of our method are only 38.9% and 49.3% of the two traditional solving methods.

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“…These are called green energy resources, and power production from these green renewable energy resources (REs) is on the rise. Different energy management schemes are being developed to effectively use these resources in power production [1][2][3]. Antiquated grids are being replaced by modern grids that are decentralized and smart [4,5].…”

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

Cited by 54 publications

References 134 publications

Community- and Data-Driven Services for Multi-Policy Pedestrian Routing

Community- and Data-Driven Services for Multi-Policy Pedestrian Routing

Game‐based distributed energy‐sharing model for prosumers in microgrids considering carbon emissions and its fast equilibrium‐finding method

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

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