New metrics for assessing the performance of multi-microgrid systems in stand-alone mode

Wang, Shouxiang; Zhang, Xingyou; Wu, Lei; Sun, Shuai

doi:10.1016/j.ijepes.2017.12.002

Cited by 27 publications

(18 citation statements)

References 21 publications

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“…and energy storage devices like battery banks, supercapacitor, flywheels etc. [19]. All these components of a microgrid can operate collectively to fulfil power and heat demands of the local loads due to which microgrid can be considered as a single generation unit or a controllable load from grid perspective [20].…”

Section: Microgrid Architecturementioning

confidence: 99%

Hybrid methodology to analyse reliability and techno‐economic evaluation of microgrid configurations

Rana

Iqbal

Siddiqui

et al. 2019

IET Generation, Transmission & Distribution

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Section: Microgrid Architecturementioning

confidence: 99%

Hybrid methodology to analyse reliability and techno‐economic evaluation of microgrid configurations

Rana

Iqbal

Siddiqui

et al. 2019

IET Generation, Transmission & Distribution

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“…A new interface control strategy for ideal load sharing of the multimicrogrid systems is proposed, and the effectiveness of this strategy is verified by taking a multimicrogrid system as an example [9]. Wang et al [10] proposed a series of new indicators and multistep performance evaluation methods to evaluate the performance of the multi-microgrid system from a quantitative perspective. The indicator system includes power generation permeability indicator, reliability indicator, and economic indicator.…”

Section: Introductionmentioning

confidence: 99%

“…The indicator system includes power generation permeability indicator, reliability indicator, and economic indicator. The practice has proved that the indicator system and multistep performance evaluation method are effective [10]. Most of the existing research literature focuses on measuring the reliability and economy of the independent microgrid system.…”

Section: Introductionmentioning

confidence: 99%

Sustainability Intelligent Evaluation of Regional Microgrid Interconnection System Based on Combination Entropy Weight Rank Order-TOPSIS and NILA-KELM

Wang¹,

Fan²,

Meng³

et al. 2022

Energy Engineering

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Sustainability evaluation of regional microgrid interconnection system is conducive to a profound and comprehensive understanding of the impact of interconnection system projects. In order to realize the comprehensive and scientific intelligent evaluation of the system, this paper proposes an evaluation model based on combination entropy weight rank order-technique for order preference by similarity to an ideal solution (TOPSIS) and Niche Immune Lion Algorithm-Extreme Learning Machine with Kernel (NILA-KELM). Firstly, the sustainability evaluation indicator system of the regional microgrid interconnection system is constructed from four aspects of economic, environmental, social, and technical characteristics, and the evaluation indicators are explained. Then, the classical evaluation model based on TOPSIS is constructed, and the entropy weight method and rank order method (RO) are coupled to obtain the indicator weight. The niche immune algorithm is used to improve the lion algorithm, and the improved lion algorithm is used to optimize the parameters of KELM, and the intelligent evaluation model based on NILA-KELM is obtained to realize fast real-time calculation. Finally, the scientificity and accuracy of the model proposed in this paper are verified. The model proposed in this paper has the lowest RMSE, MAE and RE values, indicating that its intelligent evaluation results are the most accurate. This study is conducive to the horizontal comparison of the overall performance of regional microgrid interconnection system projects, helps investors to choose the most promising project scheme, and helps the government to find feasible project.

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“…The popularity of the microgrid for its utility in the grid-connected or islanded mode of operation has directed the interests of the research community towards the MMG concept. A lot of literature focuses their attention on the voltage, current, and frequency control; energy management, and overload management in an MMG system [9][10][11][12][13][14][15][16]. However, these articles do not appear to have addressed the use of multiple batteries at the dc-link of the interfacing converters and the power management needed for them.…”

Section: Introductionmentioning

confidence: 99%

Battery state‐of‐charge‐based control and frequency regulation in the MMG system using fuzzy logic

Sahoo

Kishore

2020

IET Generation, Transmission & Distribution

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New metrics for assessing the performance of multi-microgrid systems in stand-alone mode

Cited by 27 publications

References 21 publications

Hybrid methodology to analyse reliability and techno‐economic evaluation of microgrid configurations

Hybrid methodology to analyse reliability and techno‐economic evaluation of microgrid configurations

Sustainability Intelligent Evaluation of Regional Microgrid Interconnection System Based on Combination Entropy Weight Rank Order-TOPSIS and NILA-KELM

Battery state‐of‐charge‐based control and frequency regulation in the MMG system using fuzzy logic

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