Dynamic modeling and transient stability analysis of distributed generators in a microgrid system

Increasing the penetration level of distributed generation units as well as power electronic devices adds more complexity and variability to the dynamic behaviour of the microgrids. For such systems, studying the transient modelling and stability is essential. One of the major disadvantages of most studies on microgrid modelling is their excessive attention to the steady state period and the lack of attention to microgrid performance during the transient period. In most of the research works, the behaviour of different microgrid loads has not been studied. One of the mechanisms of power systems stability studies is the application of state space modelling. This paper presents a mathematical model for connected inverters in microgrid systems with many variations of operating conditions. Nonlineal tools, phase-plane trajectory analysis, and Lyapunov method were employed to evaluate the limits of small signal models. Based on the results of the present study, applying the model allows for the analysis of the system when subjected to a severe transient disturbance such as loss of large load or generation. Studying the transient stability of microgrid systems in the standalone utility grid is useful and necessary for improving the design of the microgrid’s architecture

Modelado matemático de microred isla con cargas estáticas y dinámicas

Aumentar el nivel de penetración de las unidades de generación distribuida y de los dispositivos electrónicos de potencia añade más complejidad y variabilidad al comportamiento dinámico de las microrredes. Para tales sistemas, el estudio del modelado y la estabilidad transitorios es esencial. Una de las principales desventajas de la mayoría de los estudios sobre modelado de microrredes es su excesiva atención al período de estado estable y la falta de atención al rendimiento de la microrred durante el período transitorio. En la mayoría de los trabajos de investigación no se ha estudiado el comportamiento de diferentes cargas de microrredes. Uno de los mecanismos de los estudios de estabilidad de sistemas de potencia es la aplicación del modelado del espacio de estados. Estos estudios incluyen el desarrollo de modelos espaciales de estados de varios componentes del sistema de energía y luego linealizarlos alrededor de un punto de equilibrio. En este artículo, se presenta un método integral para el modelado de microrredes en islas con cargas dinámicas y estáticas. El paso básico del método propuesto es la transformación a un modelo basado en dq0. Para encontrar un modelo completo y preciso de microrred basada en inversor en isla, los submódulos de generación, red y carga deben modelarse en la referencia dq local y luego transferirse a una referencia común. Los resultados de la simulación muestran la efectividad del enfoque de modelado propuesto para estudios de estabilidad transitori

A bridge between robustness and simplicity: practical control design for complex systems

Automatic control design has been one of the major subjects in real-world system design/operation and is becoming much more significant today in accordance with increasing size, changing structure, uncertainties and complexity of artificial industry systems. A major challenge in a new environment is to integrate computing, communication and control into appropriate levels of real-world systems operation and control. In practice, many control systems usually track different control objectives such as stability, disturbance attenuation and reference tracking with considering practical constraints, simultaneously. At the moment in the industry applications, it is desirable to meet all specified goals using the controllers with simple structures. Since, practically these controllers are commonly designed based on experiences, classical and trial-and-error approaches, they are incapable of obtaining good dynamical performance to capture all design objectives and specifications for a wide range of operating conditions and various disturbances. It is significant to note that because of using simple structure, pertaining to the low-order control synthesis for dynamical systems in the presence of strong constraints and tight objectives are few and restrictive. Under such conditions, the synthesis process may not approach to a strictly feasible solution. Therefore, the most of robust and optimal approaches suggest complex state-feedback or high-order dynamic controllers. Moreover in the most of proposed approaches, a single performance criterion has been used to evaluate the robustness of resulted control systems. This research addresses three systematical, fast and flexible algorithms to design of low order or static output controllers for dynamical systems. The developed strategies attempt to invoke the strict conditions and bridge the gap between the power of optimal/robust control theory and industrial control design. To illustrate the effectiveness of the proposed control strategies, they have been applied to several complex systems in the electric industry

Multi-Agent Systems in Control Engineering: A Survey

This paper presents a survey on multi-agent system (MAS) capabilities in control engineering applications. It describes essential concepts of multi-agent systems that are related to the control systems and presents an overview on the most important control engineering issues which MAS can be explored. Most important technical aspects in MAS implementation and development in engineering environment are also explained. Design methodologies, standards, tools, and supporting technologies to provide an effective MAS-based control design are addressed and a discussion on important related standards and protocols is given. Finally, some comments and new perspectives for design and implementation of agent-based control systems are presented