Optimal Capacity Sizing for the Integration of a Battery and Photovoltaic Microgrid to Supply Auxiliary Services in Substations under a Contingency

Tabares, Alejandra; Martinez, Norberto; Ginez, Lucas; Resende, José F.; Brito, Nierbeth

doi:10.3390/en13226037

Cited by 5 publications

(5 citation statements)

References 32 publications

(42 reference statements)

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“…Simulation Platform [32,95,120] BARON GAMS [39,120] DICOPT GAMS [50,137] Fmincon MATLAB [39,55,56,110,120] SBB GAMS [77,149] Other/Unspecified GAMS [26,71,152] MATLAB [79,88,162,174,178] Unspecified…”

Section: Minlp Solvermentioning

confidence: 99%

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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Distributed generation systems (DGSs) are one of the key developments enabling the energy transition. DGSs provide users with increased control over their energy use and generation, but entail greater complexity in their design and operation. Traditionally, optimization models have been used to overcome this complexity, and currently, research is focusing on integrating uncertainties on them. This review attempts to analyze, classify and discuss 170 articles dealing with optimization of DGSs under uncertainty. A survey has been performed to identify the selected manuscripts and the strengths and weaknesses of previous reviews. As a result, an innovative classification has been designed and the distinct elements of optimization models in DGSs have been highlighted: microgrid architecture, sources of uncertainty, uncertainty addressing methods, problem types and formulations, objective functions, optimization algorithms and additional features. Each part is detailed thoroughly to provide an instructive overview of the research output in the area. Subsequently, several aspects of interest are discussed in depth: the future of dealing with uncertainty, the main contributions and trends, and the relative importance of the field. It is expected that this review will be of use to both experts and lay people to learn more about the current state of optimization models in DGSs and provide insights into how to further develop this field.

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Section: Minlp Solvermentioning

confidence: 99%

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

et al. 2022

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Section: Literature Reviewmentioning

confidence: 99%

“…Other works focus on optimized sizing for two energy sources within a microgrid [9,21,22]. Tabares et al [21] minimize cost by conducting an exhaustive search over varying quantities of predefined battery and photovoltaic components. Dong et al [9] apply mixed integer programming to minimize investment cost, while optimizing battery and backup generator size.…”

Section: Literature Reviewmentioning

confidence: 99%

Rightsizing the Design of a Hybrid Microgrid

Reich

Oriti

2021

Energies

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Selecting the sizes of distributed energy resources is a central planning element when designing a microgrid. Decision makers may consider several important factors, including, but not limited to, capacity, cost, reliability and sustainability. We introduce a method for rightsizing capacity that presents a range of potential microgrid design solutions, allowing decision makers to weigh their upsides and downsides based on a variety of measurable factors. We decouple component-specific modeling assumptions, energy management system logic and objective measurements from our simulation-based nested binary search method for rightsizing to meet power loads. In doing so, we develop a flexible, customizable and extensible approach to microgrid design planning. Aspects which have traditionally been incorporated directly in optimization-centric frameworks, such as resilience and reliability, can be treated as complementary analyses in our decoupled approach. This enables decision makers to gain exposure to a wide range of relevant information and actively participate in the microgrid design assessment process.

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“…Despite the wide discussion about the sizing of hybrid systems considering different variables and techniques, there are few reports available in the literature discussing the sizing of a grid-connected hybrid system under contingencies with well-established duration time given by regulatory policies as in the case of ESS auxiliary systems [11,35]. For example, the optimal size of the PV/BESS was determined by minimizing the total cost of the investment using Monte Carlo simulations to assess the variability of the solar resource and the uncertainties of contingencies [35]. Hybrid Optimization of Multiple Energy Resources (HOMER) software was also used to size the PV/BESS to meet the demand [11,36].…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing of a Photovoltaic/Battery Energy Storage System to Supply Electric Substation Auxiliary Systems under Contingency

et al. 2023

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Electric substations (ESS) are important facilities that must operate even under contingency to guarantee the electrical system’s performance. To achieve this goal, the Brazilian national electricity system operator establishes that alternating current (AC) auxiliary systems of ESS must have, at least, two power supplies, and in the case of failure of these sources, an emergency generator (EG) must at least supply energy to the essential loads. In order to improve the availability of auxiliary systems, a microgrid with other sources, such as photovoltaic (PV) systems and Battery Energy Storage Systems (BESS), can be an alternative. In this case, an economical optimization of the PV/BESS system must be addressed considering the costs associated with the installation and maintenance of equipment, and the gains from the credits generated by the photovoltaic system in the net metering scheme. In this paper, the size of the BESS system was determined to supply energy to the load of auxiliary systems of an ESS, as well as a PV system to achieve a null total cost. Furthermore, multi-objective optimization using the genetic algorithm technique was employed to optimize the size of the hybrid PV/BESS to minimize the investment cost and time when the demand was not met. Simulations under different scenarios of contingency were allowed to obtain the Pareto frontier for the optimal sizing of a PV/BESS system to supply energy to AC auxiliary systems in an ESS under contingency.

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Optimal Capacity Sizing for the Integration of a Battery and Photovoltaic Microgrid to Supply Auxiliary Services in Substations under a Contingency

Cited by 5 publications

References 32 publications

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Optimization Models under Uncertainty in Distributed Generation Systems: A Review

Rightsizing the Design of a Hybrid Microgrid

Optimal Sizing of a Photovoltaic/Battery Energy Storage System to Supply Electric Substation Auxiliary Systems under Contingency

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