Smart Sensors for Smart Grid Reliability
Autor: | Hortensia Amaris, Diana M Florez R, Daniel Alcala, Monica Alonso |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Optimization
Computer science 020209 energy Reliability (computer networking) 02 engineering and technology lcsh:Chemical technology Fault (power engineering) 01 natural sciences Biochemistry Article Ingeniería Industrial Analytical Chemistry 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electronics Electrical and Electronic Engineering Duration (project management) Smart Grid smart grid Instrumentation reliability business.industry 010401 analytical chemistry smart sensor Electrical engineering Reliability Atomic and Molecular Physics and Optics 0104 chemical sciences Adaptive protection Smart grid Smart Sensor Electricity adaptive protection business optimization Efficient energy use |
Zdroj: | e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname Sensors Volume 20 Issue 8 Sensors (Basel, Switzerland) Sensors, Vol 20, Iss 2187, p 2187 (2020) e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid Universidad Carlos III de Madrid (UC3M) |
Popis: | Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network&rsquo 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. |
Databáze: | OpenAIRE |
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