A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs

Tostado‐Véliz, Marcos; Mouassa, Souhil; Jurado, Francisco

doi:10.1016/j.ijepes.2021.107139

Cited by 41 publications

(19 citation statements)

References 19 publications

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“…Assuming these parameters are known or sufficiently well-predicted, the available power generation can be calculated using an available PV array model. In this paper, the model considered in [7,14] is used, which determines the PV generation capacity as a function of the solar irradiation and ambient temperature, as follows:…”

Section: Pv Modellingmentioning

confidence: 99%

“…where p PV is the rating power of the PV array; ϑ is the solar irradiance; θ is the ambient temperature and η PV is the efficiency of PV panels. As pointed out in [7,14], model (5) does not take into account the installed power of the PV generators. In other words, the second term in (5) may be higher than 1, which yields a value higher than the rated power of PV panels.…”

Section: Pv Modellingmentioning

confidence: 99%

“…This kind of responsible load can therefore adjust their scheduling programs to achieve a more efficient operation of the grid. As in other related problems [14], it is assumed that these consumers have to be operated continuously, which means, once their operating cycle has started, it cannot be interrupted until completing their duty cycle, as modeled the Equation ( 14).…”

Section: Shiftable Consumers Modelingmentioning

confidence: 99%

“…Indeed, one should note that all the variables and constraints would have size S × T . To overcome such issues, some papers have proposed to use scenario reduction approaches [14,45]. By these techniques, the original space is completely described by just a set of few representative members, which are considered a sufficiently descriptive image of the original space.…”

Section: Uncertainties Modelingmentioning

confidence: 99%

“…This agent is usually integrated into the local service entity along with the local retailer [13]. In remote isolated areas, the local service entity usually owns the on-site generation and storage assets [14]. In such a case, the operator must ensure the supplying quality and reliability at minimum cost, in order to maximize the benefits obtained by the retailer.…”

Section: Introductionmentioning

confidence: 99%

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DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

et al. 2021

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With the development of electronic infrastructures and communication technologies and protocols, electric grids have evolved towards the concept of Smart Grids, which enable the communication of the different agents involved in their operation, thus notably increasing their efficiency. In this context, microgrids and nanogrids have emerged as invaluable frameworks for optimal integration of renewable sources, electric mobility, energy storage facilities and demand response programs. This paper discusses a DC isolated nanogrid layout for the integration of renewable generators, battery energy storage, demand response activities and electric vehicle charging infrastructures. Moreover, a stochastic optimal scheduling tool is developed for the studied nanogrid, suitable for operators integrated into local service entities along with the energy retailer. A stochastic model is developed for fast charging stations in particular. A case study serves to validate the developed tool and analyze the economical and operational implications of demand response programs and charging infrastructures. Results evidence the importance of demand response initiatives in the economic profit of the retailer.

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Section: Pv Modellingmentioning

confidence: 99%

Section: Pv Modellingmentioning

confidence: 99%

Section: Shiftable Consumers Modelingmentioning

confidence: 99%

Section: Uncertainties Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

et al. 2021

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A novel interval‐based formulation for optimal scheduling of microgrids with pumped‐hydro and battery energy storage under uncertainty

Ahmadi

Tostado‐Véliz

Ghadimi

et al. 2022

Intl J of Energy Research

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Summary Nowadays, microgrids are emerging as an invaluable framework for the integration of renewable energy sources and demand response programs. In such systems, energy storage facilities are also frequently deployed to properly manage surplus energy from renewable sources on pursuing more efficient management of the system. Hybrid storage systems in which various storage facilities are combined may result in a more effective solution than only considering one storage technology. This way, the good features of the different technologies may be jointly exploited while their drawbacks are minimized. Due to the large‐scale integration of renewable energies in this kind of grid, coping with uncertainties becomes a critical issue. Moreover, the operation of microgrids frequently deals with other kinds of uncertainties related to energy pricing from the upscale grid (in the case of grid‐connected mode) or local demand. This way, proper modeling of uncertainties is essential for adequately operating these systems. This paper contributes to this pool by developing a novel interval‐based formulation, for optimal scheduling of microgrids considering battery and pumped‐hydro storage systems. To achieve this goal, the optimal scheduling of a microgrid with pumped‐hydro and battery energy storage considering demand response is modeled, firstly. Then, the new interval‐based formulation is used to cope with the uncertainties. Finally, the suggested model is verified using simulations in various cases, and the results confirm the effectiveness of the novel interval‐based formulation for the optimal scheduling of microgrid with pumped‐hydro and battery energy storage under uncertainty.

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Economic operation of a micro grid structured university campus via optimal diesel generator operation under different strategies: a case study

İsçan,

Arıkan

2024

Electr Eng

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A MILP framework for electricity tariff-choosing decision process in smart homes considering ‘Happy Hours’ tariffs

Cited by 41 publications

References 19 publications

DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

A novel interval‐based formulation for optimal scheduling of microgrids with pumped‐hydro and battery energy storage under uncertainty

Economic operation of a micro grid structured university campus via optimal diesel generator operation under different strategies: a case study

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