2019
DOI: 10.1109/tsg.2018.2816403
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An Affine Arithmetic-Based Energy Management System for Isolated Microgrids

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Cited by 51 publications
(24 citation statements)
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“…where c curt,l,isl t is the cost of load curtailment at time t, and P curt,l,isl j,t the curtailed load. In the grid-connected case, we assume that any local generation-load mismatch can be covered from the transmission network without the need for load shedding in the grid-connected case, similar to [20]. c) C exc t : The third term includes the cost of exchanging power with the upper voltage levels and is given by…”
Section: Centralized Deterministic Opfmentioning
confidence: 99%
“…where c curt,l,isl t is the cost of load curtailment at time t, and P curt,l,isl j,t the curtailed load. In the grid-connected case, we assume that any local generation-load mismatch can be covered from the transmission network without the need for load shedding in the grid-connected case, similar to [20]. c) C exc t : The third term includes the cost of exchanging power with the upper voltage levels and is given by…”
Section: Centralized Deterministic Opfmentioning
confidence: 99%
“…In recent years, LA countries have contributed novel proposals in Demand Side Management, forecasting models, and theoretical studies for forecasting optimization (Cruz, Alvarez, Al-Sumaiti, & Rivera, 2020;Cruz, Alvarez, Rivera, & Herrera, 2019;Diaz, Vuelvas, Ruiz, & Patino, 2019;Garcia-Guarin et al, 2019;J. Garcia, Alvarez, & Rivera, 2020; J. R. Garcia, Zambrano P, & Duarte, 2018;Henríquez & Kristjanpoller, 2019;Hernandez & Baeza, 2019;Jiménez, Pertuz, Quintero, & Montaña, 2019;Marrero, García-Santander, Carrizo, & Ulloa, 2019;Moret, Babonneau, Bierlaire, & Maréchal, 2020;Paredes, Vargas, & Maldonado, 2020;Ramirez, Cruz, & Gutierrez, 2019;Rocha, Silvestre, Celeste, Coura, & Rigo, 2018;Romero-Quete & Canizares, 2019;Sanhueza & Freitas, 2018;Zavadzki, Kleina, Drozda, & Marques, 2020;Zuniga-Garcia, Santamaría-Bonfil, Arroyo-Figueroa, & Batres, 2019).…”
Section: Smart Buildings Forecasting Techniquesmentioning
confidence: 99%
“…where P m, t r is the PV active power output from the household m at a time t, I β, t is the actual irradiance, A is the total area of the PV [11] two-point estimate method ✓ ✓ ✓ D [16] tabu search method ✓ ✓ ✓ D [25] roulette wheel mechanism ✓ ✓ ✓ D [12] Stackelberg game ✓ ✓ D [13] routing algorithm ✓ ✓ D [23] semi-Markov process ✓ S [24] bottom-up model (random case) ✓ D [26] robust optimisation ✓ D [10] bi-level optimisation ✓ D [9] robust optimisation ✓ ✓ ✓ D [4,8] robust optimisation ✓ ✓ D [3] maximum power point tracking ✓ ✓ D [7] affine arithmetic method ✓ ✓ D [6] bi-level, imperialist competition algorithm ✓ ✓ D [5] two-stage stochastic programming ✓ ✓ D [19] chance constrained programming ✓ ✓ D [20][21][22] robust optimisation ✓ ✓ D [28] approximate dynamic programming and Monte Carlo simulation ✓ ✓ S [18] robust transient stability constrained ✓ D [2] two-period stochastic programming (historical data) ✓ ✓ ✓ D [14] approximate dynamic programming (expected value) ✓ ✓ D [15] graphical array, ρ is the short-circuit temperature coefficient and T and T ref are practical and reference temperature coefficients, respectively. According to Tan et al [40], the variation in solar irradiance will ultimately result in a change in the cell temperature.…”
Section: Probabilistic Model Of Pv Generationmentioning
confidence: 99%
“…Energy storage (ES) is usually integrated with renewable generation to improve the reliability and efficiency of the power grid [2,3]. Energy management system (EMS) integrates the renewable generation and ES is invested in [4][5][6][7][8]. Specifically, to maximise utility for the demands with uncertain distributed renewable energy and customers' power demand, Rahimiyan et al in [4] propose a robust optimisation algorithm, which allows the customer to operate at a suitable time.…”
Section: Introductionmentioning
confidence: 99%