Abstract:The coordination of optimal overcurrent relays (OCRs) for modern power networks is nowadays one of the critical concerns due to the increase in the use of renewable energy sources. Modern grids connected to inverter-based distributed generations (IDGs) and synchronous distributed generations (SDGs) have a direct impact on fault currents and locations and then on the protection system. In this paper, a new optimal OCR coordination scheme has been developed based on the nonstandard time–current characteristics (… Show more
“…Then, based on the detected mode of operation the differential positive sequence current is compared with one of the two settings to take the needed action. In [8], a protection scheme based on nonstandard characteristics curves for overcurrent relays was proposed using a logarithmic function and variable coefficient. The scheme uses two optimization techniques which are genetic algorithm and a hybrid technique combining gravitational search algorithm and sequential quadratic programming.…”
Designing a properly coordinated protection scheme for a multi-microgrid is very challenging because of their distinct characteristics. A microgrid can be operated in a grid-connected mode through direct connection to utility or through another grid-connected microgrid. It can also operate in an islanded mode or get connected with another independent microgrid. The various operation modes and topologies under which the system may operate bring major challenges such as the bi-directional flow of power and substantial variation in fault current. Such characteristics make protection schemes of conventional radial distribution systems unreliable options. In this paper, a centralized communication-assisted protection scheme based on artificial neural networks is proposed. The scheme operates in a cascaded process. In the first stage, a central protection controller is responsible of identifying and isolating the microgrid or tie line which has the fault. In the second stage, the local protection controller will be activated due to detection of islanding condition. It will then identify and isolate the faulty line accordingly. Identification of fault location is accomplished through neural networks trained with massive amount of three phase voltage and current measurements of all buses and lines during different fault scenarios using MATLAB/Simulink environment. The proposed scheme utilizes IEC 61850 based standardized communication to monitor the multi-microgrid and send the trip commands. Finally, the performance evaluation of the proposed scheme in terms of end-to-end delays including neural networks computational delay and communication network delay through extensive simulations is also presented which proves the effectiveness of the proposed protection scheme.INDEX TERMS Communication assisted protection, distributed energy resources, microgrid, neural networks.
“…Then, based on the detected mode of operation the differential positive sequence current is compared with one of the two settings to take the needed action. In [8], a protection scheme based on nonstandard characteristics curves for overcurrent relays was proposed using a logarithmic function and variable coefficient. The scheme uses two optimization techniques which are genetic algorithm and a hybrid technique combining gravitational search algorithm and sequential quadratic programming.…”
Designing a properly coordinated protection scheme for a multi-microgrid is very challenging because of their distinct characteristics. A microgrid can be operated in a grid-connected mode through direct connection to utility or through another grid-connected microgrid. It can also operate in an islanded mode or get connected with another independent microgrid. The various operation modes and topologies under which the system may operate bring major challenges such as the bi-directional flow of power and substantial variation in fault current. Such characteristics make protection schemes of conventional radial distribution systems unreliable options. In this paper, a centralized communication-assisted protection scheme based on artificial neural networks is proposed. The scheme operates in a cascaded process. In the first stage, a central protection controller is responsible of identifying and isolating the microgrid or tie line which has the fault. In the second stage, the local protection controller will be activated due to detection of islanding condition. It will then identify and isolate the faulty line accordingly. Identification of fault location is accomplished through neural networks trained with massive amount of three phase voltage and current measurements of all buses and lines during different fault scenarios using MATLAB/Simulink environment. The proposed scheme utilizes IEC 61850 based standardized communication to monitor the multi-microgrid and send the trip commands. Finally, the performance evaluation of the proposed scheme in terms of end-to-end delays including neural networks computational delay and communication network delay through extensive simulations is also presented which proves the effectiveness of the proposed protection scheme.INDEX TERMS Communication assisted protection, distributed energy resources, microgrid, neural networks.
This paper proposes a comprehensive 26-bus microgrid (MG) test system designed to validate or propose new protection coordination schemes. The proposed MG test system comprises various components facilitating the simulation of diverse configurations and operating modes. It also presents a predefined overcurrent protection scheme which is validated with and without Distributed Generation (DG), offering detailed specifications and settings for the test network. The MG test system outlined in this paper incorporates multiple DG sources in different buses, multiple voltage levels, and two operating modes (with and without DG). Additionally, the overcurrent protection scheme considers multiple functions and devices simultaneously. The detailed features of the proposed protection coordination scheme enable the simulation of various fault types and contingencies. The paper also presents specific details of the MG test system under different single-phase and three-phase faults, reporting bus voltages in nodes, transformer and line loadability, short-circuit currents, and operating times. The MG test system is meant to serve as a valuable tool for researchers to conduct comparative studies and develop new strategies regarding the operation and planning of MGs.
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