The Development Process and Design of a Hybrid Fuzzy Knowledge-Based System for Multiobjective Optimization of Power Distribution System Operations
نویسندگان
چکیده
A hybrid fuzzy knowledge-based system with crisp and fuzzy rules as well as numerical methods was developed for multiobjective optimization of power distribution system operations. The development process and knowledge acquisition process for the fuzzy knowledge-based system are described in detail. The fuzzy knowledge-based system has a four-level rule hierarchy. After a heuristic preprocessor proposes a list of switch openings that would seem to reduce system losses, network radiality rules consider whether to open a particular switch and find a corresponding switch that can be closed to maintain radiality. Network parameter rules determine if the proposed switching combination will violate network integrity. Network performance rules find the degree of desirability of proposed switching combinations for enhancing multiple objectives.
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