Optimizing renewable based generations in AC/DC microgrid system using hybrid Nelder-Mead – Cuckoo Search algorithm

Kumar, J. Senthil; Raja, S. Charles; Nesamalar, J. Jeslin Drusila; Venkatesh, P.

doi:10.1016/j.energy.2018.06.029

Cited by 52 publications

(12 citation statements)

References 32 publications

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“…Senthil Kumar et al 115 proposed an algorithm named hybrid Nelder‐Mead and Cuckoo Search (HNMCS) applied to HMGs‐AC/DC in order to reduce the power losses. The main objective of the proposed technique is to reduce the nonlinear output power losses of DERs and to facilitate the DC‐MG with improved DC bus voltage.…”

Section: Efficiency and Energy Losses In Hybrid Ac/dc Power Distributionmentioning

confidence: 99%

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Efficiency and energy‐loss analysis for hybridAC/DCdistribution systems and microgrids: A review

Charadi

Chaibi

Redouane

et al. 2021

Int Trans Electr Energ Syst

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Historically, the development and design of distribution systems (DSs) and microgrids (MGs) were based primarily on alternating current (AC) as a traditional approach due to many advantages such as eliminating the need for synchronization, as well as the ease of integrating distributed energy resources (DERs). Recently, given the democratization of DER through local installations of renewable energy systems and appliances using power electronics, direct current microgrids (DC‐MGs) are gaining more and more momentum. In order to enable durable and economically viable use by integrating DC and AC DERs into microgrids, hybrid AC/DC microgrids (HMGs‐AC/DC) present one of the most promising approaches in eliminating the need for AC‐DC or DC‐AC conversions. The improvement of energy efficiency, protection, management, and control of this kind of systems are relevant research topics. This article provides an overview of theoretical works and industrial applications of hybrid AC/DC microgrids/distribution systems. In addition, an efficiency/energy‐losses study of different literature‐based works is discussed. Accordingly, a critical analysis is provided, and research perspectives related to this subject are outlined. This review article can be considered as a guide for future research on the efficiency and energy losses of hybrid AC/DC distribution systems/microgrids.

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Section: Efficiency and Energy Losses In Hybrid Ac/dc Power Distributionmentioning

confidence: 99%

“…hybrid AC‐DC microgrid (HMG‐AC/DC) system proposed by Reference 115, (A) 33‐bus radial distribution system and (B) 69‐bus radial distribution system…”

Section: Efficiency and Energy Losses In Hybrid Ac/dc Power Distributionmentioning

confidence: 99%

Efficiency and energy‐loss analysis for hybridAC/DCdistribution systems and microgrids: A review

Charadi

Chaibi

Redouane

et al. 2021

Int Trans Electr Energ Syst

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“…Subramanyam et al [12] used a neural network and artificial bee colony (ABC) algorithm for fuel cell placement and sizing. A hybrid Nelder-Mead and cuckoo search algorithm was proposed in [13] to minimise the power loss in microgrid systems with renewable-based DGs integration. Renewable-based DGs integration in the distribution system presented in [14] used the ant lion optimisation algorithm for loss minimisation.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the literature survey, it is noted that most of the researchers focused on DG integration only and ignored the impact of network reconfiguration [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][25][26][27][28][29][30][31][32][33][34]. A few research studies…”

Section: Introductionmentioning

confidence: 99%

“…This is an open access article published by the IET under the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) have discussed distribution system analysis with DG and reconfiguration simultaneously [46][47][48][49]. Furthermore, many authors have used sensitivity methods [9,10,13,14,17,28,46] to find the location to install DG units. However, the solution obtained with the sensitivity approaches is neither consistent nor competitive.…”

Section: Introductionmentioning

confidence: 99%

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Optimal DG integration and network reconfiguration in microgrid system with realistic time varying load model using hybrid optimisation

Murty

Kumar

2019

IET Smart Grid

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The potential availability of renewable energy sources is unquestionable and the government is setting steep targets for renewable energy usage. Renewable-based DGs, reduce dependence on fossil fuels, mitigate global climate change, ensure energy security, and reduce emissions of CO 2 and other greenhouse gases. This study addresses microgrid system analysis with hybrid energy sources and reconfiguration simultaneously for efficient operation of the system. Microgrid zones are formulated categorically with the existing distribution system. In this study, wind, solar and small hydro-based DGs are considered. Uncertainties of renewable power generation and load are also taken care in the optimization problem. A multiobjective optimisation method proposed in this paper for optimal integration of renewable-based DGs and reconfiguration of the network to minimise power loss and maximise annual cost savings. Optimal location and sizes of DG units are determined using gravitational search algorithm and general algebraic modelling system respectively. Optimal reconfiguration of the microgrid system is obtained using genetic algorithm. Simulation results are obtained for the IEEE 33-bus system and compared with existing methods as available in the literature. Furthermore, this study has been carried out with a 24-hr time-varying distribution system. The simulation results show the efficiency and accuracy of the proposed technique.

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Application of Heuristic Techniques and Evolutionary Algorithms in Microgrids Optimization Problems

Ghavifekr

2021

Power Systems

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Optimizing renewable based generations in AC/DC microgrid system using hybrid Nelder-Mead – Cuckoo Search algorithm

Cited by 52 publications

References 32 publications

Efficiency and energy‐loss analysis for hybridAC/DCdistribution systems and microgrids: A review

Efficiency and energy‐loss analysis for hybridAC/DCdistribution systems and microgrids: A review

Optimal DG integration and network reconfiguration in microgrid system with realistic time varying load model using hybrid optimisation

Application of Heuristic Techniques and Evolutionary Algorithms in Microgrids Optimization Problems

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