Demand Response Management using Non-Dominated Sorting Genetic Algorithm II

Ray, Pravat Kumar; Nandkeolyar, Shobhit; Lim, Chee Shen; Satiawan, I Nyoman Wahyu

doi:10.1109/pesgre45664.2020.9070522

Cited by 5 publications

(4 citation statements)

References 11 publications

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“…To schedule the operation between neighboring interconnected HMGs, an EMS is presented with architecture that incorporates the function of an Artificial Neural Network (ANN) to predict both the load and the availability of the DERs in the HMGs. Further applications of NSGA-II are presented in [174][175][176]. In [177], a methodology is introduced to determine the availability and cost of the energy resource delivered by an HMG with wind and solar generation, as well as a connection to the main electrical grid.…”

Section: Genetic Algorithm (Ga) and Multi-agent (Mas) Optimizationmentioning

confidence: 99%

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A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

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Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical grid. They are capable of reducing transmission losses and improving the use of electricity and heat. However, RESs presents intermittent behavior derived from the stochastic nature of the renewable resources available on site. This can cause power-quality issues throughout the electrical grid, which can be solved by different optimization techniques and/or control strategies applied to power converters. This paper offers a detailed review of the literature regarding three important aspects: (i) Power-quality issues generated in MGs both in islanded mode and grid-connected mode; (ii) Optimization techniques used in the MGs to achieve the optimal operating conditions of the Energy Management System (EMS); and (iii) Control strategies implemented in the MGs to guarantee stability, mitigation of power-quality issues, power balance, and synchronization with the grid. It is worth mentioning that in this paper, we emphasize hybrid MGs (HMGs) since they combine the benefits of AC–MGs and DC–MGs while increasing system reliability. As the utility grid moves toward an optimal design of MG structures, this paper will serve as a foundation for future research, comparative analysis, and further development of novel techniques regarding HMGs.

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Section: Genetic Algorithm (Ga) and Multi-agent (Mas) Optimizationmentioning

confidence: 99%

“…They can be difficult to optimize and can be time-consuming to run. [173][174][175][176] Table 10. Cont.…”

Section: Intelligentmentioning

confidence: 99%

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

View full text Add to dashboard Cite

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“…Moreover, in [138], NSGA-II is applied to the controller of the inverters of distributed generators with inner and outer control loops to seamless transition operation between grid-connected and islanding mode. In [139][140][141][142] the more applications of NSGA-II are presented.…”

Section: C32 Direct Aooroachmentioning

confidence: 99%

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

et al. 2022

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Section: C32 Direct Approachmentioning

confidence: 99%

Energy management in collaborative power electronics-based microgrid integrated with renewable energies

Salehi

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(English) This thesis is introduced the research performed on microgrid applications, especially in cooperative operating mode. The research is conducted considering two main challenging aspects of microgrid operation over the last years. The reliable and optimum operation of microgrids is surveyed by focusing on: energy management systems, specifically in collaborative microgrid operation and robust power electronics interfaces. This thesis presents a comprehensive review of optimization methods for individual and community microgrids. In addition, different control strategies applied in microgrid systems are studied. The potential pros and cons of various control strategies are analyzed, and the background studies bring brilliant and smart solutions for optimal control in a networked microgrid. A supervised and unsupervised learning clustering is developed in order to control a networked microgrid consisting of industrial, commercial, and residential microgrids. The clustering algorithms are performed based on the maximum load demand and operating reserve of the microgrid. Furthermore, a component size procedure for dispatchable units in a networked microgrid is presented. The proposed algorithm evaluates the component size considering the operating reserve of microgrids. To diminish the adverse effect of component size reduction on microgrids’ reliability, the proposed reduced factor is modified by the peak load and correlation of load profile. Optimal operation, new topology, and new control methods for various power electronics interfaces for microgrid applications are presented in the following. The optimal operation of the LLC resonant converter is investigated considering the load variation and switching frequency. Then, a modified cascaded high step-up Z-source DC-DC converter with high voltage gain and low voltage stress is proposed. Eventually, a novel control method for a single-phase Z-source inverter is presented. A feed-forward neural network predicts the forced response of the generalized predictive control to enhance the transient performance of the inverter. (Català) En aquesta tesi es presenta la recerca realitzada en aplicacions de microxarxes, especialment en mode de funcionament cooperatiu. La investigació es porta a terme considerant dos aspectes de l'operació de les microxarxes que han estat fonamentals durant els últims anys. El funcionament fiable i òptim de les microxarxes s'estudia centrant-se en els sistemes de gestió d'energia, específicament en el funcionament col·laboratiu de microxarxes i en les interfícies d'electrònica de potència robustes. Aquesta tesi presenta una revisió exhaustiva dels mètodes d'optimització per a microxarxes individuals i comunitàries. A més, s'estudien diferents estratègies de control aplicades en sistemes de microxarxes. S'analitzen els avantatges i els inconvenients potencials de diverses estratègies de control i els estudis de fons aporten noves solucions per a un control òptim en una microxarxa connectada a la xarxa de distribució. Es desenvolupa una estratègia d’agrupació basada en aprenentatge supervisat i no supervisat per controlar una microxarxa connectada a xarxa i formada per microxarxes industrials, comercials i residencials. Aquestes agrupacions es realitzen en funció de la demanda de càrrega màxima i de la reserva operativa de la microxarxa. A més, es presenta un procediment de dimensionament dels elements per a unitats distribuïbles en una microxarxa connectada a la xarxa. L'algorisme proposat avalua el dimensionat de l’element tenint en compte la reserva operativa de les microxarxes. Per disminuir l'efecte advers de la reducció de la mida dels elements sobre la fiabilitat de les microxarxes, el factor de reducció proposat es modifica atenent a la càrrega màxima i a la correlació del perfil de càrrega. A continuació es presenten un funcionament òptim, una nova topologia i uns nous mètodes de control de diverses interfícies d'electrònica de potència per a la seva aplicació en microxarxes. El funcionament òptim del convertidor ressonant LLC s'investiga tenint en compte la variació de càrrega i la freqüència de commutació. A continuació, es proposa un convertidor DC-DC de font Z en cascada modificat d'alt guany en tensió i baixa tensió d’estres en els interruptors. Finalment, es presenta un nou mètode de control per a un inversor de font Z monofàsica. Una xarxa neuronal feed-forward prediu la resposta forçada del control predictiu generalitzat per millorar el rendiment transitori de l'inversor.

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Demand Response Management using Non-Dominated Sorting Genetic Algorithm II

Cited by 5 publications

References 11 publications

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

Energy management in collaborative power electronics-based microgrid integrated with renewable energies

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