2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE) 2017
DOI: 10.1109/ccece.2017.7946775
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Cited by 36 publications
(17 citation statements)
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“…Helal et al [35] analyzed an energy management system for a hybrid AC/DC MG in an isolated community that employs a photovoltaic system for desalination. The proposed optimization algorithm was based on the mixed integer non-linear programming, wherein the objective function minimizes the daily operating costs.…”
Section: Energy Management Based On Linear and Non-linear Programmingmentioning
confidence: 99%
“…Helal et al [35] analyzed an energy management system for a hybrid AC/DC MG in an isolated community that employs a photovoltaic system for desalination. The proposed optimization algorithm was based on the mixed integer non-linear programming, wherein the objective function minimizes the daily operating costs.…”
Section: Energy Management Based On Linear and Non-linear Programmingmentioning
confidence: 99%
“…Determining the optimal design and operation of microgrids is a complex task that imposes demanding requirements on computational resources and mathematical solvers. Different mathematical approaches, such as Mixed-Integer Linear Programming (MILP) [2,4,6,[9][10][11][12][13][14][15][16][17][18][19][20], Mixed-Integer Non-Linear Programming (MINLP) [21,22] and metaheuristic approaches [3,[23][24][25][26][27][28] are used to determine the optimal design or operation of microgrid energy supply systems. The advantage of mathematical programming like MILP to metaheuristics is that the distance to the global optimum can be determined, which increases the quality of the results.…”
Section: The Complexity Of Microgrid Supply System Optimizationmentioning
confidence: 99%
“…The temporally-resolved use of the devices is modelled by transition probabilities that are determined by first order Markov chains. The domestic heating demand for buildings is determined with a 5R1C model that was modelled and implemented in Python as per Schuetz et al [21] and is based on the EN ISO 13799. The demand is simulated in a building depending on the outside temperature, solar radiation, wind and building parameters by optimizing the living space temperature between two limit temperatures (21°C-24°C).…”
Section: Data Basismentioning
confidence: 99%
“…The model involved deterministic optimization, with a purpose to minimize the operation cost and improve energy efficiency consistent with the prediction from the prior day data. In Reference, a new EMS for hybrid microgrids in remote communities was proposed, which considered the technical limitations of the grids and customer preferences. The EMS aimed to manage all system assets to ensure the stable operation of the microgrids and to provide customers with a safe supply of clean water.…”
Section: Introductionmentioning
confidence: 99%