Advanced Optimal Design of the IoT Based University Campus Microgrid Considering Environmental Concerns and Demand Response

Shahab, Muhammad Luthfi; Wang, Shaorong; Muqeet, Hafiz Abdul

doi:10.1109/icpre52634.2021.9635493

Cited by 15 publications

(7 citation statements)

References 8 publications

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“…In ref. [33], the authors considered a campus-based micro-grid containing both dispatchable and non-dispatchable energy sources in China and devised a system using linear programming techniques in MATLAB with various system constraints. The grid comprised secured advanced communication, control, protection, monitoring, and bidirec- Storage systems usually have three configurations, i.e., single, multiple, and swappable configurations.…”

Section: Literature Reviewmentioning

confidence: 99%

Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response

Ali,

Aftab,

Akram

et al. 2024

Sustainability

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Rising energy demands, economic challenges, and the urgent need to address climate change have led to the emergence of a market wherein consumers can both purchase and sell electricity to the grid. This market leverages diverse energy sources and energy storage systems to achieve significant cost savings for consumers while providing critical grid support for utilities. In this study, an energy management system has been employed to tackle the optimization problem associated with various energy sources. This approach relies on mixed-integer linear programming (MILP) to optimize energy utilization while adhering to diverse constraints, yielding a feasible energy solution. This model is applied to real-world energy system consumption data and forecasts the most cost-effective day-ahead energy plans for different types of loads engaged in demand response. Furthermore, time-based charging and discharging strategies for electric vehicles and energy storage systems are considered, conducting a comprehensive analysis of energy costs across various storage devices. Our findings demonstrate that implementing this model can lead to an 18.26% reduction in operational costs when using lithium batteries and a remarkable 14.88% reduction with lead–acid batteries, particularly when integrating solar power and an EV into the system, while GHG is reduced by 36,018 grams/day for a load of 25 kW in one particular scenario. However, the analysis reveals that integrating wind power is not economically viable due to its comparatively higher operational costs.

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Section: Literature Reviewmentioning

confidence: 99%

Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response

Ali,

Aftab,

Akram

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Economic dispatch holds a prominent position among various power system operation problems. In a conventional power system, fossil fuel power plants are the largest electric power producers [4][5][6]. Different thermal generating units have different fuel-cost curves, which means that they consume different amounts of fuel for producing the same amount of power.…”

Section: Introductionmentioning

confidence: 99%

Combined Economic Emission Dispatch in Presence of Renewable Energy Resources Using CISSA in a Smart Grid Environment

et al. 2023

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The geographically spatial and controlled distribution of fossil fuel resources, catastrophic global warming, and depletion of fossil fuel resources have forced us to integrate zero- or low-emissions energy resources, such as wind and solar, in the generation mix. These renewable energy resources are unexhausted, available around the globe, and free of cost. The advancement in wind and solar technologies has caused an appreciable decrease in installed the and global levelized costs of electricity via these sources. Therefore, the penetration of renewable energy resources in the generation mix can provide a promising solution to the above-mentioned problems. The aim of simultaneously reducing fuel consumption in terms of “Fuel Cost” and “Emission” in thermal power plants is called a combined economic emission dispatch problem. It is a combinatorial and multi-objective optimization problem. The solution of this problem is to allocate the load demand and losses on the committed units in such way that the overall costs of the generation and emission of thermal units are reduced, while the legal bounds (constraints) are met. It is a highly non-linear and complex optimization problem. The valve-point loading effect makes this problem non-convex. The addition of renewable energy resources (RERs) adds more complexities to this problem because they are intermittent. In this work, chaotic salp swarm algorithms (CISSA) are used to solve the combined economic emission dispatch problem. Chaos is used as an alternative to randomization for the tuning of the control variable to improve the trait of obtaining global extrema. Different test cases having different combinations of thermal, solar, and wind units are solved using the proposed algorithm. The results show the superiority of this study in comparison to the existent research results in terms of the cost of generation and emissions.

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“…Advancement in research has proved that the future belongs to these RE-based hybrid systems [9]. RE-based hybrid systems are being more and more developed [10], stable, and organized with every passing day. Besides producing power during peak and off-peak hours for conventional grids, these hybrid systems have wider applications in the development of energy-efficient buildings [11][12][13], power generation for remote sites [14][15][16], ship power supplies [17][18][19], production of pure water and its desalination [20,21], production of gas [22] and for electrical vehicle charging [23][24][25].…”

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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Advanced Optimal Design of the IoT Based University Campus Microgrid Considering Environmental Concerns and Demand Response

Cited by 15 publications

References 8 publications

Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response

Residential Prosumer Energy Management System with Renewable Integration Considering Multi-Energy Storage and Demand Response

Combined Economic Emission Dispatch in Presence of Renewable Energy Resources Using CISSA in a Smart Grid Environment

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

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