“…For that reason, generator units traditionally have a protection function for abnormal frequency [60,61]. Abnormal frequency protection will be activated when the frequency continuously exceeds the specified safe limit for a short duration.…”
Nowadays, the Balancing Authority Area Control Error (ACE) Limit (BAAL) Standard has been adopted to replace the Control Performance Standard 2 (CPS2) in the North American power grid. According to the new standard's mechanism, a new control logic, named "Triggered Monitoring and Graded Regulation" (TM-GR) is proposed. Its purpose is to improve wind power utilization, with good BAAL Standard compliance for load frequency control (LFC). With the TM logic, according to the real-time regulating ability of areas and forecasting results of wind power output, the triggering moments to give orders are found and a defined monitoring interval is set to track the succeeding fluctuation of Area Control Error (ACE). With the GR logic, based on whether or not over-limit frequency and over-limit ACE occur simultaneously, unit output is regulated in different grades. In cooperation with the existing control logic of Control Performance Standard 1 (CPS1), the proposed logic has a higher priority. From the test results, with the proposed control logic, the utilization of wind power output increases and, meanwhile, the area's control performance meets the Standard BAL-001-2 requirements. The standard deviation of the frequency deviation is less than the target value, and the duration of over-limit ACE and over-limit frequency can both be restricted to be less than 30 min.
“…For that reason, generator units traditionally have a protection function for abnormal frequency [60,61]. Abnormal frequency protection will be activated when the frequency continuously exceeds the specified safe limit for a short duration.…”
Nowadays, the Balancing Authority Area Control Error (ACE) Limit (BAAL) Standard has been adopted to replace the Control Performance Standard 2 (CPS2) in the North American power grid. According to the new standard's mechanism, a new control logic, named "Triggered Monitoring and Graded Regulation" (TM-GR) is proposed. Its purpose is to improve wind power utilization, with good BAAL Standard compliance for load frequency control (LFC). With the TM logic, according to the real-time regulating ability of areas and forecasting results of wind power output, the triggering moments to give orders are found and a defined monitoring interval is set to track the succeeding fluctuation of Area Control Error (ACE). With the GR logic, based on whether or not over-limit frequency and over-limit ACE occur simultaneously, unit output is regulated in different grades. In cooperation with the existing control logic of Control Performance Standard 1 (CPS1), the proposed logic has a higher priority. From the test results, with the proposed control logic, the utilization of wind power output increases and, meanwhile, the area's control performance meets the Standard BAL-001-2 requirements. The standard deviation of the frequency deviation is less than the target value, and the duration of over-limit ACE and over-limit frequency can both be restricted to be less than 30 min.
“…El ajuste de las protecciones para responder correctamente a la detección de islas cuando la presencia de GD es alta, puede afectar el comportamiento dinámico del sistema [7].…”
<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>En éste trabajo se presenta un esquema de operación para que una planta de generación distribuida de potencia opere de manera aislada </span><span>en un sistema de distribución. Se analiza su funcionamiento mediante </span><span>simulaciones de estado estable y dinámico. </span></p><p><span>Los análisis fueron realizados sobre un sistema de prueba radial IEEE de 13 nodos, gracias a que este tipo sistemas cuenta con diversas configuraciones de fase para las líneas, cargas desbalanceadas, bancos de condensadores y transformadores de media a baja tensión. En cuanto a las tecnologías simuladas, se hizo uso de dos tipos de generación distribuida: generadores síncronos y generadores asíncronos con el fin de incluir energías renovables </span><span>y no renovales, y por otro lado máquinas síncronas y asíncronas. Los </span><span>resultados indican un aumento en los perfiles del voltaje de los nodos más </span><span>críticos del sistema: 1,5 % dependiendo del tipo de tecnología utilizada </span>(máquina síncrona o asíncrona) y 2 % dependiendo del punto de ubicación en la red radial. Durante el control de operación de la máquina PQ, el nivel de cargabilidad “λ” en el nodo 646 del sistema, comparado con la máquina síncrona; aumenta en 0,545 MW, para un nivel de colapso de voltaje de 78,42 V. Las simulaciones muestran que la utilización de fuentes de generación distribuida aumenta la frecuencia de oscilación del sistema de 13 nodos y estas oscilaciones de frecuencia son más grandes cuando se usan máquinas asíncronas del orden de 5,09 Hz. </p></div></div></div>
“…This sectionalized area is called an island. Unintentional islanding refers to a formation of island due to faults on the utility side that result in the opening of the circuit breaker in the upper stream of the grid [7]. There are few drawbacks associated with unintentional islanding which includes line worker safety issues, difficulty in maintaining the voltage and current to meet the load demand, and any hazards associated with out-of-phase reclosing [4].…”
Responding to the problem of increased load demand, progress has been made to develop a new smarter infrastructure, which employs a decentralised approach. This smart decentralised system, termed smart grid, is composed of micro grids which utilise a combination of distributed energy resources (DER). The DERs can either be operated in parallel with the grid or in autonomous condition (intentional-islanding). Operating the DER under intentional islanding condition is seen as the next stage in smart grid's future development which requires intelligent control implementation. In order to utilise this intelligent control, immediate detection of islanding is essential. This paper proposes a new smarter islanding detection method, which implements the forecast capability of smart grid by detecting the fluctuations before islanding occurs. The proposed method has been tested in simulation and compared against the current islanding detection methods. The simulation results have successfully proven the benefits of the new proposed method over the current methodologies in island detection.
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