A generalized shell for dynamic security analysis in operations planning

Abstract

This paper introduces the concept of a generalized shell for performing power-system dynamic security analysis. The generalized shell mechanizes routines traditionally carried out by human experts and that are essential to power-system dynamic security analysis, thereby greatly accelerating the realization of complex processes. The shell semantics express high-level goals and tasks using a friendly, highly compact syntax which closely matches the language of operations planners. Typically. the shell will execute appropriate load-flow and transient-stability simulations (i.e. using commercially available simulation software). perform result analysis, make input changes and repeat this process until a user-defined goal has been achieved.A working shell prototype for performing key algorithmic processes is described and results of a typical sensivity study are presented using a 700-bus model of the Hydro-QuCbec network. It is expected that the prototype will reduce study-cycle time, improve the accuracy of dynamic security limits and, indeed. transform the working environment of operations and system planners. Eventually. it can be foreseen that the approach will gravitate towards supporting on-line dynamic security analysis.

From Hierarchical to Open Access Electric Power Systems

“…Preventive control should be contrasted with corrective control which can result from near real-time solution of the full stochastic dynamic optimization problem. Some forward-looking utilities have begun development of numerical tools for a more corrective approach to ensuring stability in electric power systems during major equipment failures, and are probabilistic in nature [53], [80].…”

Preventing Future Blackouts by Means of Enhanced Electric Power Systems Control: From Complexity to Order

“…While some progress has been made toward dynamic security assessment methodologies, the problem of near real-time transient stability analysis remains largely an unsolved problem for a variety of reasons, including fundamental DAE numerical integration problems [15], [16]. One pragmatic approach to analyzing the system as the conditions change is based on various learning methods [17], [18]. This paper is, however, not concerned with modeling for system analysis itself.…”

Topology information based decision trees to predict dynamic transfer limits and their sensitivities for Hydro-Quebec's network

“…Power transfer limits are determined by a number of different factors including thermal and stability constraints [1]- [3]. Due to the characteristics of long transmission lines of Hydro-Quebec's radial network, stability aspects play a critical role in determining transfer limits.…”