A Simulation-Based Framework for Distribution Service Restoration

Abstract:

Service restoration in a distribution power system aims at finding a series of switching operations - a restoration plan, that restores power given an occurrence of a fault, considering multiple objectives and constraints. In this research, we first elaborate that many of common objectives and constraints depend on plan’s physical properties that can be obtained efficiently by simulating the plan, using simulation software like DIgSILENT PowerFactory. However other objectives/constraints cannot be computed by physical simulation because they depend on non-physical and/or non-functional properties not intrinsic to the plan, such as the power company's policies and the market information. From this observation, we propose a framework for distribution service power restoration integrating multiple knowledge sources: heuristics representing the expertise of experienced operators are used to construct possible plans, DIgSILENT PowerFactory computes plan’s physical properties, while non-physical properties are provided by relevant knowledge bases. To demonstrate the appropriateness of the framework, we developed a proof-of-concept implementation.

• Periodical: Applied Mechanics and Materials (Volumes 799-800)
• Pages: 1227-1231
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.799-800.1227
• Online since: October 2015
• Authors: Santi Kaisaard, Nguyen Duy Hung
• Keywords: Distribution Power System, Heuristics, Multiple Objectives, Service Restoration

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