A feasibility study of microgrids for reducing energy use and GHG emissions in an industrial application

Li, Mengyu; Zhang, Xiongwen; Li, Guojun; Jiang, Chaoyang

doi:10.1016/j.apenergy.2016.05.070

Cited by 41 publications

(8 citation statements)

References 23 publications

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“…Because of the increased awareness of social and economic development and climate change, and need to reduce the emissions of greenhouse gas, microgrids are generally composed of renewable energy system (RES) and energysaving system that used local waste heat [26]. The optimization of these energy systems are achieved through microgrid energy management system that takes into account strategies for decision-making.…”

Section: Microgrid (Mg) Architecture and Communicationmentioning

confidence: 99%

Energy Management System for Integration of Different Renewable Energy System into Microgrids

2021

IJATCSE

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Renewable energy (RE) is currently being used on a wide scale to meet the rising demand for energy, minimise pollution in environmental, and achieve sustainable social and economic benefits. This paper focuses on the design and development of EMS that can ensure the safe operation of island microgrids (MGs) in the event of possible imbalances between load demand and power generation. Energy management system (EMS) performs optimized calculations for the low priority loads that need to be shut down and the charging and discharging cycle of the batteries in the microgrid (MG). The non-linear model predictive control (NMPC) algorithm was selected to implement energy management system, which processes a data set consisting of power generation, load measurement, battery state of charge (SOC), and set of operating constraints. Energy management system was designed under assumption of installing Advanced Metering Infrastructure (AMI) in MG. Energy management system (EMS) was tested on a simulation platform that integrates a model of the microgrid (MG) component and its distributed controller (DC). The simulation results demonstrate the effectiveness of this method, because even when there is a fault in one of the distributed controllers, key variables such as the voltage and frequency amplitude of the microgrid (MG) will operate within a secured interval.

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Section: Microgrid (Mg) Architecture and Communicationmentioning

confidence: 99%

Energy Management System for Integration of Different Renewable Energy System into Microgrids

2021

IJATCSE

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“…Their objectives were to minimize expenditures, emissions, and value losses of system components in a system using PV and a diesel generator. Li et al 20 presented a feasibility study with the objectives of minimizing both the lifetime energy use and emissions of CO 2 , CH 4 , N 2 O, and so forth. They considered solar and wind energy supply constraints and power balance of the system by using mathematical programming and scenario analysis.…”

Section: Reviewed Studies and Analysesmentioning

confidence: 99%

Review and clustering of optimal energy management problem studies for industrial microgrids

Bektas

Kayakutlu

2020

Int J Energy Res

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The optimal energy management problem of microgrids is an agenda item for the energy field. Especially industrial microgrids, whose energy demand is high and uninterruptible, need to be managed by a holistic view of optimization. Technical researches in this field are to be enriched with the literature review that looks through various angles. In the scope of this paper, the research literature is reviewed deeply and analyzed with the aim of presenting the gaps. Articles written in English, in the period of 2010 to 2019 have been revised thoroughly. By eliminating the search results, 105 relevant articles have been determined. Objective(s), criteria for analysis, processes included, power source(s), storage system, other system components and methodology of each article have been studied. The literature has been summarized, it has been seen that solar, wind, and diesel sources are used in about 82%, 55%, and 16% of articles, respectively. Then, they have been clustered using self-organizing maps. Nine clusters have been obtained which separate the articles clearly. Especially, three of them which have fewer data have been analyzed. Clustering results have been interpreted and utilized to show the research openings. Achievements of this study will lead the scientific research that will fill in the gaps.

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“…Efficient DER management and coordination in MG lead to higher system performance and long-term development [14]. Due to increased environmental awareness, socioeconomic growth, and the need to reduce greenhouse gas emissions, MGs are mainly composed of sustainable energy systems, such as renewable energy sources and energy-efficient systems that use local heat waste [15]. Various energy storage technologies that have potential for high penetration and integration in microgrids are mentioned in [16].…”

Section: Introductionmentioning

confidence: 99%

Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm

et al. 2022

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In smart grids, a hybrid renewable energy system that combines multiple renewable energy sources (RESs) with storage and backup systems can provide the most cost-effective and stable energy supply. However, one of the most pressing issues addressed by recent research is how best to design the components of hybrid renewable energy systems to meet all load requirements at the lowest possible cost and with the best level of reliability. Due to the difficulty of optimizing hybrid renewable energy systems, it is critical to find an efficient optimization method that provides a reliable solution. Therefore, in this study, power transmission between microgrids is optimized to minimize the cost for the overall system and for each microgrid. For this purpose, artificial bee colony (ABC) is used as an optimization algorithm that aims to minimize the cost and power transmission from outside the microgrid. The ABC algorithm outperforms other population-based algorithms, with the added advantage of requiring fewer control parameters. The ABC algorithm also features good resilience, fast convergence, and great versatility. In this study, several experiments were conducted to show the productivity of the proposed ABC-based approach. The simulation results show that the proposed method is an effective optimization approach because it can achieve the global optimum in a very simple and computationally efficient way.

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A feasibility study of microgrids for reducing energy use and GHG emissions in an industrial application

Cited by 41 publications

References 23 publications

Energy Management System for Integration of Different Renewable Energy System into Microgrids

Energy Management System for Integration of Different Renewable Energy System into Microgrids

Review and clustering of optimal energy management problem studies for industrial microgrids

Optimal Power Sharing in Microgrids Using the Artificial Bee Colony Algorithm

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