Intelligent hierarchical energy and power management to control the voltage and frequency of micro-grids based on power uncertainties and communication latency

Sepehrzad, Reza; Mahmoodi, Amirhossein; Ghalebi, Seyedeh Yosra; Moridi, Ali; Seifi, Ali Reza

doi:10.1016/j.epsr.2021.107567

Cited by 24 publications

(4 citation statements)

References 34 publications

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“…over several years has been fourfold, which has led to a concern with the quality of power of sensitive loads [2]. The essential power quality issues include voltage swells, sags, harmonics, transients, flickers, fluctuations, and interruptions [3]. The sensitive and critical loads must prevent these issues in terms of power quality and voltage disturbances.…”

Section: Cpdmentioning

confidence: 99%

Solar PV-Fed Multilevel Inverter With Series Compensator for Power Quality Improvement in Grid-Connected Systems

Prasad

Dhanamjayulu

2022

IEEE Access

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Power quality difficulties arise as a result of Renewable Energy Sources (RES) integrating with the grid. Voltage swell, sag, and harmonic distortion occur on the grid due to power quality issues, which have an impact on customers. An inexpensive series compensator, like the Dynamic Voltage Restorer (DVR), is the best solution for overcoming the aforementioned problems. In this article, a solar PV integrated DVR with a novel multilevel inverter is introduced to address the power quality issues in the grid. The main objective of the proposed work is to develop a DVR integrated with a 23-level multilevel inverter to enhance the power quality. In addition, an improved INC-MPPT technique is designed for the boost converter for maximum energy extraction from the solar PV modules. Despite numerous benefits of multilevel inverters, there exist several reliability challenges such as fewer component counts and reduced THD. The suggested topology can able to generate 23 levels of output voltage with asymmetrical DC sources. The MLI has several advantages such as a reduction in the overall component count, cost and size of the inverter. Additionally, a detailed mathematical analysis is presented for the rotating dq reference frame control. The dynamic performance of the DVR is evaluated with a balanced load and implemented experimentally. Simulation results of the proposed system are carried out using MATLAB/Simulink. The proposed system is implemented using a dSPACE controller with a laboratory hardware prototype and OPAL-RT real-time simulator setup as well. The results show that the design of the proposed system is more effective at compensating for voltage sag and improves the power quality significantly. The THD obtained at the grid side is lower, which is under IEEE standards. INDEX TERMSEnhanced INC MPPT technique, Photovoltaic array, Dynamic voltage restorer, Power quality, multilevel inverter.

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Section: Cpdmentioning

confidence: 99%

Solar PV-Fed Multilevel Inverter With Series Compensator for Power Quality Improvement in Grid-Connected Systems

Prasad

Dhanamjayulu

2022

IEEE Access

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“…Electrical distribution network modelling AC load distribution model based on main grid and EH constraints such as power, voltage and frequency constraints is equal to [27]:…”

Section: 13mentioning

confidence: 99%

“…AC load distribution model based on main grid and EH constraints such as power, voltage and frequency constraints is equal to [27]:

\begin{equation}P_t^i = \sum_{j = 1}^n {\left| {V_t^i} \right|} \left| {V_t^j} \right|({G_{ij}}\cos (\delta _t^i - \delta _t^j) + {B_{ij}}\sin (\delta _t^i - \delta _t^j),\end{equation}

\begin{equation}Q_t^i = \sum_{j = 1}^n {\left| {V_t^i} \right|} \left| {V_t^j} \right|({G_{ij}}\sin (\delta _t^i - \delta _t^j) + {B_{ij}}\cos (\delta _t^i - \delta _t^j),\end{equation}

\begin{matrix} left ({}, \begin{matrix} P_{t}^{i j} = |V_{t}^{i}| false{(||, V_{t}^{i}) G_{i j} - (||, V_{t}^{j}) false(G_{i j} \cos false(δ_{t}^{i} - δ_{t}^{j} false) \\ + B_{i j} \sin false(δ_{t}^{i} - δ_{t}^{j} false) false) false} \end{matrix}) \end{matrix}

…”

Section: Energy Hub Topologymentioning

confidence: 99%

Robust management and optimization strategy of energy hub based on uncertainties probability modelling in the presence of demand response programs

Mobarakeh

Sadeghi

Saghafi

et al. 2021

IET Generation Trans & Dist

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The energy hub is considered one of the most important parts of the multi-carrier energy distribution systems. One of the major challenges facing the energy hub idea is the optimal distribution and management of energy based on renewable and non-renewable power generation resources in the presence of demand response programs and uncertainties. This study aims to present an optimal management and distribution model of energy based on uncertainties of probability modelling of renewable energy resources, uncertainties of electrical loads (electric vehicles (EVs)), operating and maintenance cost, cost modelling of greenhouse gas emissions, and electric and thermal demand response programs. Therefore, the proposed model is presented based on a robust optimization model and mixed-integer linear programming. Uncertainties in this research are divided into two categories; technical and economic. The technical part includes the uncertainties caused by renewable energy resources and EVs, simulated based on the Monte Carlo method and their probability distribution function. The economic part includes modelling the uncertainty caused by the price of electricity. The operation model and the objective function of the optimization problem are modelled using the demand response models based on peak shaving and load shifting techniques.

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“…Ademais, em Bekhradian et al (2019), uma proposição mais direcionada para a detecção de ilhamentos viáveis e seguros em MRs foi apresentada. Outras investigações nesse sentido também podem ser encontradas, como os trabalhos desenvolvidos por Hosseinzadeh e Salmasi (2020), Agarwal et al (2021) e Sepehrzad et al (2022).…”

Section: Considerações Sobre a Identificação De Mudanças Nas Condiçõe...unclassified

Nova estratégia de proteção para microrredes utilizando uma abordagem adaptativa com características híbridas de atuação

Barra¹

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Agradeço primeiramente a Deus, que me permitiu o traçado dessa trajetória e esteve comigo durante todo tempo. Agradeço pelo favor, direção, livramento e cuidado comigo e minha família. A Deus toda a glória! À minha esposa, Caroline, por estar ao meu lado em todos os momentos. Nos dias bons e ruins, sempre me trouxe a motivação que eu precisava para seguir em frente. O seu incentivo e suporte foram fundamentais para que eu conseguisse chegar até aqui.À minha filha, Elisa, que chegou trazendo alegria para a nossa família. O seu nascimento fez com que os dias fossem mais felizes, cheios de cor e vida.Aos meus pais (Sebastião e Geraldina) e irmãos (Janayna e Marcos), que não mediram esforços para que eu concluísse esse ciclo. Sou imensamente grato por toda ajuda e força que me deram.Ao meu orientador, Prof. Denis Coury, por todos os ensinamentos em pesquisa, pelas oportunidades concedidas e por toda orientação ao longo desse período. Foram diversos os aprendizados que me fizeram crescer e ampliar meus horizontes. À Jane, meus sinceros agradecimentos pela paciência nas revisões sempre muito cuidadosas de nossas publicações.Ao Prof. Ricardo Fernandes, que esteve sempre presente durante o desenvolvimento deste trabalho, pelas recomendações e sugestões. A parceria dele foi inestimável no meu desenvolvimento ao longo do doutorado.Aos Profs. José Carlos, Mário Oleskovicz e Eduardo Asada pela parceria no projeto de P&D, publicações e outras oportunidades de trabalhos conjuntos.Aos companheiros da pós-graduação, que me ajudaram de alguma maneira a tornar esse caminho mais amigável, onde posso citar

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Intelligent hierarchical energy and power management to control the voltage and frequency of micro-grids based on power uncertainties and communication latency

Cited by 24 publications

References 34 publications

Solar PV-Fed Multilevel Inverter With Series Compensator for Power Quality Improvement in Grid-Connected Systems

Solar PV-Fed Multilevel Inverter With Series Compensator for Power Quality Improvement in Grid-Connected Systems

Robust management and optimization strategy of energy hub based on uncertainties probability modelling in the presence of demand response programs

Nova estratégia de proteção para microrredes utilizando uma abordagem adaptativa com características híbridas de atuação

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