Analysis on the organization and Development of multi-microgrids

Zhang, Xu; Yang, Ping; Zheng, Chengli; Zhang, Yujia; Peng, Jiajun; Zeng, Zhiji

doi:10.1016/j.rser.2017.06.032

Cited by 112 publications

(71 citation statements)

References 47 publications

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“…Probability of power balance between load and source in the submicrogrids 1, 2, and 3 can be expressed by Equations (18) to (20). Probability of power balance between load and source in the submicrogrids 1, 2, and 3 can be expressed by Equations (18) to (20).…”

Section: Probability Of Power Balance and The State Of Probability mentioning

confidence: 99%

“…To avoid unnecessary DG trippings and prevent any risk of danger, probability of power balance (PoB) is evaluated. Probability of power balance between load and source in the submicrogrids 1, 2, and 3 can be expressed by Equations (18) to (20). The submicrogrid 1 represents a wind DG of active power 9 MW with load of 8 MW, submicrogrid 2 consists of wind plant of 9 MW, and load of 2.5 MW.…”

Section: Probability Of Power Balance and The State Of Probability mentioning

confidence: 99%

“…For any contingency event in utility or microgrid side, for which islanding occurs, the algorithm decides how safe the system is with respect to the particular DG connected. However, the scenario has changed now with the inclusion of numerous distributed generators creating multiple microgrids with submicrogrids 20 . Islanding occurrence may be a frequent phenomenon with the thriving promotions in the use of DGs.…”

Section: Introductionmentioning

confidence: 99%

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A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

Radhakrishnan

Ashok

Sunitha

2019

Int Trans Electr Energ Syst

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SUMMARY There is an abundant interest in microgrids due to its innate ability to operate in either utility connected or isolated mode. The existing conventional methods disconnect the individual distributed generators on loss of utility. In this work, a combined islanding detection algorithm at the point of common coupling (PCC) of the whole microgrid is proposed. It detects islanding using islanding detection monitoring factor, rate of change of inverse hyperbolic cosecant function, and voltage at the PCC as the islanding detection elements with the help of phasor measurement units. On detection of islanding event, the whole microgrid is transferred to autonomous mode. Moreover, any fault in the microgrid side which may isolate the distributed generator is detected using dilation and erosion mathematical morphological operators. The algorithm estimates the probability of power balance and probability of islanding duration at the control centre for events within the microgrid. The decision for islanded operation or disconnecting the distributed generator is communicated based on this. The proposed method is tested on a microgrid test system and verified on a section of the realistic local feeder of the Indian utility system. The simulation results indicate that the developed algorithm is quick, reliable, and secure in discriminating between the islanding and nonislanding scenarios for the various cases during both import and export conditions with an accuracy of 100%. It eliminates the nondetection zone completely even during zero power mismatch conditions. With the proposed method, any unnecessary distributed generator outage can be avoided enhancing the microgrid utilisation.

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Section: Probability Of Power Balance and The State Of Probability mentioning

confidence: 99%

Section: Probability Of Power Balance and The State Of Probability mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

Radhakrishnan

Ashok

Sunitha

2019

Int Trans Electr Energ Syst

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“…While there are many research or review papers on the control, operation and management of microgrids [4][5][6][7][8][9][10][11]13,14], there is a gap in terms of identifying the definition and characteristics of converter-based microgrids and all their possible related challenges and opportunities to distinguish them from distribution networks. To bridge this gap, this paper offers the following contributions.…”

Section: Introductionmentioning

confidence: 99%

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Hossain¹,

Pota²,

Hossain³

et al. 2018

Preprint

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Although microgrids facilitate the increased penetration of distributed generations (DGs) and improve the security of power supplies, they have some issues that need to be better understood and addressed before realising the full potential of microgrids. This paper presents a comprehensive list of challenges and opportunities supported by a literature review on the evolution of converter-based microgrids. The discussion in this paper presented with a view to establishing microgrids as distinct from the existing distribution systems. This is accomplished by, firstly, describing the challenges and benefits of using DG units in a distribution network and then those of microgrid ones. Also, the definitions, classifications and characteristics of microgrids are revised according to their specific roles to provide a sound basis for novice researchers to undertake ongoing research on microgrids.

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“…Recently, as the research of PV and Wind turbine (WT) develops, the generalization of residential MGs grows in popularity [2]. Multiple adjacent MGs located within a certain range are tend to be connected to form a multiple micro-grid (MMG) system to reach a better performance to supply load [3]. Distinct from sizing a single micro-grid, for a two micro-grids system, power can be exchanged between MGs, which makes the sizing process of two micro-grids system more uncertain.…”

Section: Introductionmentioning

confidence: 99%

Cooperation between Two Micro-Grids Considering Power Exchange: An Optimal Sizing Approach Based on Collaborative Operation

et al. 2018

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Optimal sizing of single micro-grid faces problems such as high life cycle cost, low self-consumption of power generated by renewable energy, and disturbances of intermittent renewable energy. Interconnecting single micro-grids as a cooperative system to reach a proper size of renewable energy generations and batteries is a credible method to promote performance in reliability and economy. However, to guarantee the optimal collaborative sizing of two micro-grids is a challenging task, particularly with power exchange. In this paper, the optimal sizing of economic and collaborative for two micro-grids and the tie line is modelled as a unit commitment problem to express the influence of power exchange between micro-grids on each life cycle cost, meanwhile guaranteeing certain degree of power supply reliability, which is calculated by Loss of Power Supply Probability in the simulation. A specified collaborative operation of power exchange between two micro-grids is constructed as the scheduling scheme to optimize the life cycle cost of two micro-grids using genetic algorithm. The case study verifies the validity of the method proposed and reveal the advantages of power exchange in the two micro-grids system. The results demonstrate that the proposed optimal sizing means based on collaborative operation can minimize the life cycle cost of two micro-grids respectively considering different renewable energy sources. Compared to the sizing of single micro-grid, the suggested method can not only improve the economic performance for each micro-grid but also form a strong support between interconnected micro-grids. In addition, a proper price of power exchanges will balance the cost saving between micro-grids, making the corresponding stake-holders prefer to be interconnected.Sustainability 2018, 10, 4198 2 of 21 for a two micro-grids system more uncertain. Therefore, in order to improve economy performance of neighbouring MGs and ensure the reliability at the same time, it is meaningful to study cooperative sizing of two micro-grids considering different local renewable energy resources, which may lay the foundation for further cooperative sizing of MMG system. Literature ReviewRecently, the sizing of renewable energy systems has attracted the attention of many scholars worldwide. Economically, the total annual cost of the system should be minimized by means of optimizing the combination of wind turbines, PV panels and the batteries system [4]. That is to say, the aim of obtaining the right amount optimized of wind turbines, photovoltaic panels, and storage is to minimize the annual value of total cost for the entire system under certain constraints. Many scholars have studied in optimizing sizing of hybrid wind and photovoltaic systems. For example, on the base of a simple graphical construction, the optimal combination of a hybrid PV-wind system was investigated without taking account of the actual scale of the battery in [5]. Taking the per-unit cost of the power produced and the total system cost into consideration, a...

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Analysis on the organization and Development of multi-microgrids

Cited by 112 publications

References 47 publications

A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

Evolution of Microgrids with Converter-Interfaced Generations: Challenges and Opportunities

Cooperation between Two Micro-Grids Considering Power Exchange: An Optimal Sizing Approach Based on Collaborative Operation

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