Peter Hirsch

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A framework is presented for a high performance IT infrastructure for supporting a self-healing power grid. The need for such infrastructure is accentuated by high volatility and low operating margins driven by deregulation and other factors. This infrastructure is based on a distributed autonomous architecture and a set of coordinated closed loop controls.(More)
This paper discusses the latest developments in wide-area frequency-based event location using FNET. FNET, meaning ldquoInternet based frequency monitoring networkrdquo, is a low cost and quickly deployable wide-area frequency measurement system with high dynamic accuracy. This project demonstrated the feasibility of using information from FNET to estimate(More)
This work presents a conceptual overview of a distributed autonomous real-time (DART) system for the operation of power systems ranging from small interconnections to continental-scale power grids. The conceptual design considers the evolution of the power and information infrastructure over the next decade and addresses the needs of transmission system(More)
The deregulated markets and other factors are pushing power systems to their limits accentuating the need for more robust control. This paper presents a conceptual overview of a control approach for supporting a self-healing power system based on a distributed autonomous architecture and a set of coordinated closed loop controls. The proposed architecture(More)
This paper addresses a fast process for performing transient stability studies in a large transmission system. The paper describes how the most severe three-phase fault locations were identified in Entergy's power system network. The approach described in this paper offers a unique capability to automatically identify the most severe fault locations and(More)
In order to significantly improve the situation awareness, the operators or operations engineers in the energy management systems and the regional and sub-regional security coordinators of large interconnected systems need to know in real-time the large system disturbance events such as generator outages, load outages and transmission outages over an entire(More)
A major drawback of current dynamic security assessment (DSA) software used to analyze the transient and dynamic responses to a large number of potential power system disturbances in a transient time frame is the long simulation time required to complete the calculations, making it impractical for real-time applications. This paper describes an attempt to(More)
Dynamic stability analysis (DSA) software allows for computing transient and dynamic responses to a large number of potential grid system disturbances (contingencies). Typically, using past tools, DSA analysis is performed off-line since the simulation process took hours to compute the simulation of a large number of contingencies for a large interconnected(More)
This two part paper presents a general methodology and scalable framework for business case analyses to assess the costs and benefits of implementing a high performance IT infrastructure for a self-healing grid. The infrastructure calls for a scalable and distributed architecture as well as geographically and temporally coordinated autonomous intelligent(More)
This two part paper presents a general methodology and scalable framework for business case analyses to assess the costs and benefits of implementing a high performance IT infrastructure for a self-healing grid. The infrastructure calls for a scalable and distributed architecture as well as geographically and temporally coordinated autonomous intelligent(More)