Using a MILP model for battery bank operation in the &amp;#x201C;White tariff&amp;#x201D; Brazilian context

Lopez-Salamanca, Henry L.; Arruda, Lúcia Valéria Ramos de; Magatão, Leandro; Normey‐Rico, Julio E.

doi:10.1109/irec.2014.6826921

Cited by 7 publications

(3 citation statements)

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“…Scheduling of generation and an energy storage system of a microgrid system has been conducted in [14] where the objective function minimises the overall cost of electricity in the microgrid while maintaining the self-sufficiency and vital constraints of the battery storage. In [15], another approach can be identified in which optimal charging and discharging patterns for the battery storage system are generated. In both cases, the optimisation is defined as a mixed-integer problem.…”

Section: Optimisation Methodsmentioning

confidence: 99%

Optimisation framework for the operation of battery storage within solar‐rich microgrids

et al. 2019

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The growing trend of distributed generation, such as solar photovoltaic (PV) systems and small scale wind turbines have promoted the development of microgrids which are highly dependent on renewable energy. Due to the intermittent nature of renewable energy, these microgrids are generally equipped with energy storage, such as batteries. Batteries are generally operated using fixed control methods, often deviating from the optimal operation. This aspect has created an opportunity to gain improved outcomes for microgrid owners and operators. This research study describes a pathway for designing an optimisation framework which can be used to optimise the charge and discharge operation of battery storage within a microgrid containing a solar PV system. Optimisation is implemented in terms of gaining maximum cost benefit for microgrid owners. The advantages of using model predictive control optimisation compared to fixed control methods for this particular problem, solvers and verification procedures are highlighted. A case study is provided with results including analysis of battery operation, energy usage, and impact on overall tariff. The study describes each step of the control and optimisation platform development ensuring readers to be able to replicate the process utilised.

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Section: Optimisation Methodsmentioning

confidence: 99%

Optimisation framework for the operation of battery storage within solar‐rich microgrids

et al. 2019

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“…Infrastructure is rarely available to recharge EVs using solar panels [6]. Hence, there is an incentive for BEV owners to use moments where renewable energy is available with a so-called "white tariff" to recharge their vehicles [7,8], financially charging for energy use based on the hour of consumption. The emissions and overall energy and exergy efficiency obtained from an electric vehicle directly depend on the means of energy conversion in the recharging environment, as reviewed by [9].…”

Section: Introductionmentioning

confidence: 99%

Energy, Exergy, and Emissions Analyses of Internal Combustion Engines and Battery Electric Vehicles for the Brazilian Energy Mix

Feliciano,

Rovai,

Mady

2023

Energies

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Exergy is a thermodynamic concept that ponders the quality of energy. It evaluates the irreversibilities of a machine, demonstrating its capacity to perform work associated with energy conversion. This article focuses on directing public policies and vehicle development toward their most proper usage worldwide. In the urban mobility scenario, there is an obvious demand to decrease greenhouse gas (GHG) emissions. In addition, the internal combustion engine (ICE) experiences considerable energy losses through heat exchange through the radiator and exhaust flow gases, which are not considerable in battery electric vehicles (BEVs) since there are no exhaust gases subsequent to combustion, nor combustion itself. This work presents longitudinal dynamics simulations of passenger vehicles to understand the magnitude of exergy destruction in ICEVs and BEVs, considering the Brazilian and European Union electric energy mix. Overall, the method can be applied to any other country. The simulation and model parameters were configured to match production road vehicles commercialized in the Brazilian market based on different versions of the same model. Two vehicle dynamic duty cycles were used, one relating to urban usage and another to highway usage, resulting in an overall exergy efficiency of around 50–51% for BEVs considering the exergy destruction in power plants. In contrast, ICE has an average efficiency of 20% in the urban cycle and around 30% in the highway cycle. By comparing the overall equivalent CO2 emissions, it is possible to conclude that EVs in the European energy matrix produce more GHG than ICE vehicles running on ethanol in Brazil. Nevertheless, there are increasing uses of coal, natural gas, and oil thermal electric power plants, raising the question of how the transition may occur with a general increase in electrification since there is an increasing electric expenditure in all sectors of society, and the renewable energy plants may not meet all of the demand.

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“…Some works have already approached White Rate and explored scenarios with different technologies. [9][10][11][12] deal with the White Rate in the context of battery systems and integration with renewables in power systems. Already, in [13] is presented an investigation about the economic viability of the utilization of on-grid distributed generation (DG) systems with photovoltaic (PV) and battery storage by distribution consumers in the White Rate scenario.…”

Section: Introductionmentioning

confidence: 99%

Energy Storage for Peak Shaving in a Microgrid in the Context of Brazilian Time-of-Use Rate

Salles

Souza

Ribeiro

2020

The First World Energies Forum—Current and Future Energy Issues

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The advance of the distributed generation in Brazil makes it essential to investigate the applications and transformations that the use of these new arrangements may entail. The use of non-centralized generation technologies associated with energy storage is interesting for several sectors of the energy market, even if the market is in the process of maturing these technologies. In the context of the time-of-use rate, these changes have allowed the consumer to use strategies to save energy bill costs, especially when its moment of most considerable consumption coincides with that of the highest tariff. In this paper, a Battery Energy Storage System (BESS) is used to perform commercial peak load reduction in a microgrid in connected mode. The microgrid also has a Photovoltaic (PV) Generator Farm as Renewable Energy Sources (RES) to provide load consumption and also to assist BESS in the peak shaving operation. The modeling and simulation of the system are performed by MATLAB/Simulink. The analysis demonstrates that the peak load reduction produces the expected financial benefits under a Brazilian time-of-use rate known as White Rate, in addition to carrying out the operation in a manner consistent with the technique from an electrical point of view. The software Homer Grid validates the potential savings. Thus, the results showed that the use of energy storage associated with renewable generation under a peak shaving strategy allows greater freedom for the consumer in the face of costs with main grid purchases.

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Using a MILP model for battery bank operation in the “White tariff” Brazilian context

Cited by 7 publications

References 1 publication

Optimisation framework for the operation of battery storage within solar‐rich microgrids

Optimisation framework for the operation of battery storage within solar‐rich microgrids

Energy, Exergy, and Emissions Analyses of Internal Combustion Engines and Battery Electric Vehicles for the Brazilian Energy Mix

Energy Storage for Peak Shaving in a Microgrid in the Context of Brazilian Time-of-Use Rate

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