Transmission Line Maintenance Scheduling Considering both Randomness and Fuzziness

摘要

The failure possibility of transmission lines in power system may change from time to time since it will be affected by weather, environment and operating conditions, especially under short-time period. Impacts of various conditions on failure possibility can be described using fuzzy words. In this paper, credibility theory was introduced to model the short-term line maintenance-scheduling problem in power system combining randomness and fuzziness. Benders decomposition was proposed to solve proposed new two-fold random fuzzy model, by breaking the primitive two-fold uncertainty model into a master problem and several sub-problems. The sub-problem is developed as a random fuzzy expected value problem. Credibility theory and DC load flow are adopted to solve the sub-problem. The master problem, which is formulated as a deterministic multi-objective integer-programming problem, is solved by an improved Balas implicit enumeration method considering the characters of transmission line maintenance. The test results on IEEE-RBTS and IEEE-RTS demonstrate the feasibility of proposed method which could accommodate system's security and economy objectives.