This paper addresses broad issues relating the application of artificial intelligence (AI) techno... more This paper addresses broad issues relating the application of artificial intelligence (AI) technologies to the operation and control of large scale interconnected electric power systems. A fundamental issue discussed in this paper is the control structure of power systems. An evaluation of the control structure yields the characteristic requirements of knowledge-based systems and can indicate a means of integrating "intelligent" control with "algorithmic" control systems. As a result the nature of an overall knowledge-based philosophy can be speculated. The paper presents a hypothesis that the structure of knowledge, in a knowledge-based system, should evolve as the structure of the power system evolves in real-time. This hypothesis is explored in terms of the distributed and centralized power system control structures, and the hierarchies that exist in the control structures. The hierarchical nature of the control structures suggest a hierarchical structure in t...
As the penetration of renewables increases in the distribution systems, and microgrids are concei... more As the penetration of renewables increases in the distribution systems, and microgrids are conceived with high penetration of such generation that connects through inverters, fault location and protection of microgrids needs consideration. This report proposes averaged models that help simulate fault scenarios in renewable-rich microgrids, models for locating faults in such microgrids, and comments on the protection models that may be considered for microgrids. Simulation studies are reported to justify the models.
Catastrophic failures have been traditionally treated as rare events. However, in view of the man... more Catastrophic failures have been traditionally treated as rare events. However, in view of the manner in which power systems have been evolving over the past decade, and the frequency with which catastrophic failures have occurred in this period, it is imperative that systematic approaches be devised to identify the likely chains of events that lead to these failures, so that appropriate countermeasures-strategic and tactical-may be designed and implemented. This paper discusses the recent body of work on structural issues, such as hidden failures and failure sequences, and identifies the need to further explore how chains conspire to form, and how the transition rates of the dependent events might change as the chain evolves. The paper then proceeds to develop a genetic algorithm based method that searches through the state space to identify likely event trees that connect healthy system states to catastrophic failure states. The method is illustrated via a small test system. The simplicity of the system enables an intuitive understanding of the mechanics of the method. I.
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Papers by Satish Ranade