Optimal Protection Coordination for Microgrids Considering N $-$1 Contingency

Saleh, Khaled A.; Zeineldin, H. H.; El-Saadany, Ehab F.

doi:10.1109/tii.2017.2682101

Cited by 105 publications

(77 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The approach is presented as a non-linear programming problem by considering both the time dial setting and the pickup current as optimization variables. The obtained results indicated that the pickup current settings were extremely low, as explained in [18]. The aforementioned protection coordination methods conceive the optimization problem without considering the uncertainties of the different variables that could affect the performance of the protection scheme.…”

Section: Introductionmentioning

confidence: 91%

Adaptive Protection System for Microgrids Based on a Robust Optimization Strategy

et al. 2018

View full text Add to dashboard Cite

Abstract:The development of a proper protection system is essential for the secure and reliable operation of microgrids. In this paper, a novel adaptive protection system for microgrids is presented. The protection scheme is based on a protective device that includes two directional elements which are operating in an interleaved manner, namely overcurrent and undervoltage elements. The proposed protection scheme can be implemented in microprocessor-based relays. To define the settings of the protective device, a robust programming approach was proposed considering a finite set of fault scenarios. The scenarios are generated based on the predictions about the available energy and the demand. For each decision step, a robust optimization problem is solved online, which is based on forecasting with a confidence band to represent the uncertainty. The system is tested and compared using real data sets from an existing microgrid in northern Chile. To assess the performance of the proposed protection system, fault scenarios not considered in the optimization were taken into account. The results obtained show that the proposed protective device is able to manage those failure scenarios, as well as those included in the tuning of the settings. Practical considerations are also discussed.

show abstract

Section: Introductionmentioning

confidence: 91%

Adaptive Protection System for Microgrids Based on a Robust Optimization Strategy

et al. 2018

View full text Add to dashboard Cite

show abstract

“…In [21], the protection coordination problem was solved by fault current limiters accommodating both grid-connected and islanded modes of operation without considering line or DG outage. In [22], the protection coordination problem was solved for micro-grids by incorporating a new set of coordination constraints that correspond to line, substation, and DG outages, as well as micro-grid operation modes. Moreover all of these network topologies lead to the complexity of the problem, as well as result in mis-coordination of DOCRs, constantly leading to contingencies.…”

Section: Literature Reviewmentioning

confidence: 99%

Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

et al. 2019

View full text Add to dashboard Cite

In power systems protection, the optimal coordination of directional overcurrent relays (DOCRs) is of paramount importance. The coordination of DOCRs in a multi-loop power system is formulated as an optimization problem. The main objective of this paper is to develop the whale optimization algorithm (WOA) for the optimal coordination of DOCRs and minimize the sum of the operating times of all primary relays. The WOA is inspired by the bubble-net hunting strategy of humpback whales which leads toward global minima. The proposed algorithm has been applied to six IEEE test systems including the IEEE three-bus, eight-bus, nine-bus, 14-bus, 15-bus, and 30-bus test systems. Furthermore, the results obtained using the proposed WOA are compared with those obtained by other up-to-date algorithms. The obtained results show the effectiveness of the proposed WOA to minimize the relay operating time for the optimal coordination of DOCRs.

show abstract

“…The directional OCRs coordination problem is also analyzed in [14] in DNs with high participation of DG. The authors of [15] proposed a methodology for OCRs coordination which includes the N-1 security criterion. In [16], a multi-objective swarm optimization algorithm for OCRs coordination in microgrids was presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal Coordination of Overcurrent Relays in Microgrids Considering a Non-Standard Characteristic

2020

View full text Add to dashboard Cite

The optimal coordination of overcurrent relays (OCRs) has recently become a major challenge owing to the ever-increasing participation of distributed generation (DG) and the multi-looped structure of modern distribution networks (DNs). Furthermore, the changeable operational topologies of microgrids has increased the complexity and computational burden to obtain the optimal settings of OCRs. In this context, classical approaches to OCR coordination might no longer be sufficient to provide a reliable performance of microgrids both in the islanded and grid-connected operational modes. This paper proposes a novel approach for optimal coordination of directional OCRs in microgrids. This approach consists of considering the upper limit of the plug setting multiplier (PSM) as a variable instead of a fixed parameter as usually done in traditional approaches for OCRs coordination. A genetic algorithm (GA) was implemented to optimize the limits of the maximum PSM for the OCRs coordination. Several tests were performed with an IEC microgrid benchmark network considering several operational modes. Results showed the applicability and effectiveness of the proposed approach. A comparison with other studies reported in the specialized literature is provided showing the advantages of the proposed approach.

show abstract

Optimal Protection Coordination for Microgrids Considering N $-$1 Contingency

Cited by 105 publications

References 28 publications

Adaptive Protection System for Microgrids Based on a Robust Optimization Strategy

Adaptive Protection System for Microgrids Based on a Robust Optimization Strategy

Nature-Inspired Whale Optimization Algorithm for Optimal Coordination of Directional Overcurrent Relays in Power Systems

Optimal Coordination of Overcurrent Relays in Microgrids Considering a Non-Standard Characteristic

Contact Info

Product

Resources

About