Real time implementation of microgrid reconfiguration

Shariatzadeh, Farshid; Zamora, Ramon; Srivastava, Anurag K.

doi:10.1109/naps.2011.6025181

Cited by 12 publications

(12 citation statements)

References 17 publications

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“…Reconfiguration mitigates any disconnection by finding the best configuration that would interconnect all nodes in the event of an outage while satisfying operational constraints. The microgrid system adopted in this study is modelled in DigSilent PowerFactory (DSPF) and based on modifications of CERTS microgrid systems available in [8][9][10][11] as presented in Fig. 2.…”

Section: Multiple Microgrid Reconfigurationmentioning

confidence: 99%

“…Multiple levels of load prioritization were introduced in this study to demonstrate the capability of an adaptive method to allocate load shedding accordingly. These priority indices represent the magnitude of importance of a load and were arbitrarily segregated into five (5) levels namely: important (75), somewhat important (50), neutral (15), somewhat unimportant (10), and unimportant (1). The load parameters for the CERTS-based model used in this study are detailed in Table I.…”

Section: B Fitness Functionmentioning

confidence: 99%

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Reconfiguration and load shedding for resilient and reliable multiple microgrids

Atendido

Zamora

2017

2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)

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The microgrid concept sets the stage for an energy future consisting of networks of microgrids connected with one another. After a fault occurs, multiple interconnected microgrids engage the possibility of power transfer by reconfiguring the network topology to maximize the number of energized loads. This study proposes a two-stage restoration process by means of reconfiguration and load shedding. Reconfiguration is executed through a branch exchange of normally open tie lines while retaining radial topology. Load shedding is implemented with a particle swarm optimization post-reconfiguration to mitigate any load versus generation imbalance. The proposed algorithm was implemented using MATLAB and tested on a CERTS-based multiple microgrid modelled in DigSilent PowerFactory. All scenarios obtained satisfactory results where each indicated a maximum number of supplied loads and all that required load shedding presented reasonable amounts of load shed. This research contributes to multiple microgrid resiliency and reliability through reconfiguration and load shedding.

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Section: Multiple Microgrid Reconfigurationmentioning

confidence: 99%

Section: B Fitness Functionmentioning

confidence: 99%

Reconfiguration and load shedding for resilient and reliable multiple microgrids

Atendido

Zamora

2017

2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)

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“…Such a solution was used in (Padamati et al, 2007) to address an 8-bus shipboard power system (SPS), and was applied in modified CERTS (Consortium for Electric Reliability Technology Solutions) microgrids by (Shariatzadeh et al, 2011). Several methods of computational intelligence have been used to address the reconfiguration issue, e.g., ant colony methods (Vuppalapati and Srivastava, 2010) and genetic algorithms (Padamati et al, 2007).…”

Section: Computational Techniques Applied On Smart Gridsmentioning

confidence: 99%

“…Thus, reconfiguration contributes to the continuity of the power supply in contingency situations, such as the occurrence of a short-circuit (Shariatzadeh et al, 2011), and can be initiated for at least three reasons, i. e. power failure, disequilibrium in the power balance, or maintenance activities on Power network components (Cebrian and Kagan, 2010). In the first two cases, some lower priority loads are likely to be rejected, i.e.…”

Section: Introductionmentioning

confidence: 99%

A methodology for smart grid reconfiguration

Bento

Celeste

2017

Lajer

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Abstract:In this work, it is presented a methodology for the reconfiguration of smart grids that is applied to a smart grid formed by two microgrids that can be electrically interconnected in contingency situations. Each microgrid is also connected to an Electric Power System (EPS) when operating in the normal state. Moreover, the smart grid includes energy storage devices (batteries) located at strategic points. Serious faults that isolated the microgrids of the EPS and, moreover, considerably reduced the generation capacity of such microgrids are simulated. The proposed methodology is applied to reconfiguration in scenarios involving cooperation between microgrids and/or the use of energy storage devices. Performance indices are also proposed to enable a quantitative analysis for each scenario. It is shown that intelligent cooperation between microgrids and the smart-use storage energy is the best option for reducing the impacts in a contingency scenarios.Keywords: Smart grids, microgrids, grid reconfiguration, computational intelligence, genetic algorithm. IntroduçãoMicrogrids, in turn, are electric power networks with several consumer units (loads) and several strategically distributed low-power generators. Both loads and generators are located geographically close (Lasseter, 2011), allowing different manners of connection, that is, different topological changes. Thus, it is possible that for a fault event at one or more points in the microgrid, all adjacent energy sources and loads can be immediately disconnected (isolated) to prevent the problem from spreading. However, the remainder of the microgrid that is not affected by the fault should continue operating normally.Solving the problem of reconfiguration involves providing alternative ways to establish connections between loads in regions with no failures and the non-disconnected sources. Thus, reconfiguration contributes to the continuity of the power supply in contingency situations, such as the occurrence of a short-circuit (Shariatzadeh et al., 2011), and can be initiated for at least three reasons, i. e. power failure, disequilibrium in the power balance, or maintenance activities on Power network components (Cebrian and Kagan, 2010). In the first two cases, some lower priority loads are likely to be rejected, i.e. disconnected from the microgrid.In short, solving the problem of microgrid reconfiguration includes the following processes: topology changes in the microgrid; possible rejection of lower priority loads, i.e., disconnecting them from the microgrids; and maintenance of the power balance for ensuring the operational continuity of priority loads. Therefore, the main objective of this paper is to propose a reconfiguration methodology for smart grids. Literature reviewA methodology and system for automatic reconfiguration of distribution network in real time was presented in (Pfitscher et al., 2011). The authors state that the reconfiguration of distribution network can reduce losses, balance loads and improve quality indicators when in normal...

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“…In [7], a method for load sharing in hybrid microgrid systems using control loops is presented. A method for maritime microgrid reconfiguration is presented in [8] using genetic algorithms and heuristic techniques. The work presented in [8] is implemented on a small shipboard power system, and a modified CERTS microgrid system including distributed generators has been used.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Maritime Microgrids: A Quest for Future Onboard Integrated Marine Power Systems

Caravella¹,

Austell²,

Brady-Alvarez³

et al. 2019

Innovation in Energy Systems - New Technologies for Changing Paradigms

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The following is a comprehensive analysis which details potential ways for the maritime industry to begin to phase out AC power generation and distribution on new vessels over a short period of time. Therefore, the vessels of the future should consider transitioning into DC power generation and distribution. During the transition from AC shipboard systems to DC shipboard systems, there will be a time during which the vessels will be run by "hybrid" shipboard power systems, which utilize a mixture of AC and DC power. These systems are known as integrated marine power systems (IMPS) or hybrid maritime microgrid architectures, since they represent a distribution system or a part thereof. This study presents a state of the art of maritime systems, emphasizing on the design aspects of hybrid maritime microgrids, summarizing the advantages, disadvantages, and the challenges that planners may face when it comes to the vessels of the future. This study also reviews remedies that have been recently proposed in the literature to overcome such challenges. In addition, this work reports on the problem of service restoration of shipboard power systems and introduces directions on how to enhance the survivability of maritime power systems using techniques based on distribution system reconfiguration.

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Real time implementation of microgrid reconfiguration

Cited by 12 publications

References 17 publications

Reconfiguration and load shedding for resilient and reliable multiple microgrids

Reconfiguration and load shedding for resilient and reliable multiple microgrids

A methodology for smart grid reconfiguration

Hybrid Maritime Microgrids: A Quest for Future Onboard Integrated Marine Power Systems

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