This paper presents a new power system restoration planning methodology which incorporates interactive graphics and an optimization algorithm. The interactive graphics provides a tool to define restoration scenarios, view the restoration process, and display the optimization and simulation results. By introducing the concept of optimal restoration scenario, the process of selecting the control variables can be formulated as a mathematical problem which can be solved by nonlinear programming. This approach removes most of the guesswork found in conventional restoration planning and provides a systematic and optimal solution in the sense of minimizing the variations from normal, and the number of control variable adjustments from stage to stage. The optimization reduces the duration of the restoration procedure and guarantees the security of all variables during the restoration process by respecting all steady-state operating constraints.
G.T. VuongHydro-Qubbec Montrbal, Canada This paper presents a new power system restoration planning methodology which incorporates interactive graphics and an optimization algorithm. The interactive graphics provides a tool to define restoration scenarios, view the restoration procedures, and display the optimization and simulation results. This restoration scheme invokes, for the first time, an algorithm to optimize the settings of all controllable variables by respecting all steady-state operating constraints. These constraints are very hard to satisfy with conventional heuristic approaches, and the algorithm facilitates their satisfaction considerably. This approach therefore cuts back on trialand-error procedures, thereby reducing the duration of the restoration process. The proposed strategy is tested on the Hydro-QuBbec system, but it is formalized in a general way so that it is applicable to other systems.
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