Optimal Overcurrent Relay Coordination in Interconnected Networks by Using Fuzzy-Based GA Method

Alkaran, Davood Solati; Vatani, Mohsen; Sanjari, M. J.; Gharehpetian, Gevork B.; Naderi, Mahdi

doi:10.1109/tsg.2016.2626393

Cited by 91 publications

(49 citation statements)

References 24 publications

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“…The programming of the relay-based smart-sensor optimization coordination was carried out by means of a GA. Genetic algorithms belong to the meta-heuristic algorithms which have proven to be suitable for global search optimization techniques, dealing with linear and nonlinear, continuous or discontinuous as well as convex problems [47][48][49][50]. GA is a multipoint and population-based search methodology, so that the possibility of finding a global optimum solution is higher than that of other optimization methods, such as single-point search methodology, due to the possibility to explore the search space in different directions simultaneously [51,52].…”

Section: Genetic Algorithm Processmentioning

confidence: 99%

Smart Sensors for Smart Grid Reliability

Alonso

Amarís

Alcala

et al. 2020

Sensors

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Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of devices have fixed adjustment settings (offline stage) and do not provide any coordination among them under real-time operation. In this paper, a new smart sensor is developed that offers the capability to update its adjustment settings during real-time operation, in coordination with the rest of the smart sensors spread over the network. The proposed sensor and the coordinated protection scheme were tested in a standard smart grid (IEEE 34-bus test system) under different short circuit scenarios and renewable energy penetration. Results suggest that the short-circuit fault sensed by the smart sensor is improved up to 80% and up to 64% compared with analog electromechanics relays and IEDs, respectively.

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Section: Genetic Algorithm Processmentioning

confidence: 99%

Smart Sensors for Smart Grid Reliability

Alonso

Amarís

Alcala

et al. 2020

Sensors

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“…Nevertheless, optimal relay coordination was not addressed properly and the suggested approach was not tested using a naturally-meshed system despite the connection of DG into the system. In addition, an effort was devoted to using constants that are readily available in standard characteristic equations as variables in order to obtain non-standard characteristics [16][17][18][19][20]. By doing so, flexibility was introduced in the characteristics, nonetheless, the actual potential of microprocessor-based OCRs in terms of providing non-standard characteristics was not revealed.…”

Section: Relevant Literaturementioning

confidence: 99%

A Non-Standard Characteristic Based Protection Scheme for Distribution Networks

et al. 2018

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Abstract:The increasing number of distributed generation (DG) units in the distribution systems poses a challenge on protection systems in terms of coordination. In addition, the single characteristic based conventional protection causes an increase in the primary operation time of the relays due to the coordination between relay pairs. As a consequence, earlier studies investigated the utilization of non-standard characteristics and protection schemes in order to ease the insufficiencies of the standard approach. However, a commonly accepted protection approach that mitigates the effect of DG while providing lower primary operating time by levering the benefits of the non-standard protection strategy has not been developed so far. In order to overcome the aforementioned drawbacks of traditional protection, this paper firstly introduces a non-standard characteristic and then proffers an unconventional protection strategy, which utilizes a double characteristic.The suggested protection approach is tested on the IEEE 14 Bus distribution system including synchronous generator based DG connection. The results show that the proposed characteristic and protection scheme are able to provide a substantial decrease in the operation time of the relays while meeting the coordination requirements.

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“…Optimal relay coordination [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] Obtain relay settings that consider network reconfiguration or changes to DG integration.…”

Section: Optimal Protection Relay Coordinationmentioning

confidence: 99%

“…For example, the evolutionary algorithms may need to be run repeatedly while varying, by trial and error, the parameters or weights of the OFs before selecting the optimal results [23]. The work in [31] presents a fuzzy-based GA method that uses the fuzzy controller to determine the required changes to the weighting factors for the different terms of the OF during the execution of the GA, instead of the trial and error approach.…”

Section: 13mentioning

confidence: 99%

Review of technical issues influencing the decoupling of DG converter design from the distribution system protection strategy

Manditereza

Bansal

2018

IET Renewable Power Generation

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Several issues need to be considered in the design and control of converters for converter-interfaced distributed generators (DGs). Under fault conditions, the semiconductor devices withstand ratings must not be exceeded. The converter control strategy is also required to facilitate fault ride through (FRT) capability. On the other hand, protection against fault is better served by employing control strategies that allow the converter-interfaced DGs to contribute short duration fault current sufficient to aid the detection of faults. Semiconductor devices protection and FRT capability have the same objective of limiting the magnitude of the fault current. Protection coordination in the complex DG-integrated network is difficult and may result in protection settings that are not optimal or contribute to long relay operating times that may impact FRT support. On this basis, this study proposes the de-coupling of the protection solution from FRT and semiconductor device considerations. This study critically reviews various strategies proposed in the literature for the protection of the DG-integrated distribution system and develops an argument that aims to influence a paradigm shift towards voltage-based protection that may see protection design decoupled from inverter design and control, since fault current contribution may not be required to achieve effective protection.

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Optimal Overcurrent Relay Coordination in Interconnected Networks by Using Fuzzy-Based GA Method

Cited by 91 publications

References 24 publications

Smart Sensors for Smart Grid Reliability

Smart Sensors for Smart Grid Reliability

A Non-Standard Characteristic Based Protection Scheme for Distribution Networks

Review of technical issues influencing the decoupling of DG converter design from the distribution system protection strategy

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