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CHAPTER 3
               Optimization of Annual Generator


               Maintenance Scheduling











               Chapter Outline
               3.1 Introduction  50
                   3.1.1 Description of the Problem  50
                   3.1.2 Basic Requirements for Annual Generator Maintenance Scheduling  52
                   3.1.3 Overview of This Chapter  52
               3.2 Basic Ideas of Developing an GMS Model  52
                   3.2.1 Way of Handling Unit Maintenance Intervals  53
                   3.2.2 Principles to Set Priority for Unit Maintenance  54
                   3.2.3 Way of Processing the Objective Function  54
                   3.2.4 Way of Processing the Variable Settings and Constraints  55
               3.3 Formulation of the GMS Problem  56
                   3.3.1 Notations  56
                   3.3.2 Objective Function  57
                   3.3.3 Constraints  57
               3.4 Fuzzification of GMS Model  59
                   3.4.1 Selection of Fuzzy Membership Function  59
                   3.4.2 Formation of Fuzzy Objective Index of GMS  60
                   3.4.3 Formation of Fuzzy Constraints for GMS Problem  61
               3.5 Expert System Developed for GMS  64
                   3.5.1 Selecting of Time Units  64
                   3.5.2 Introducing of Operation Index  65
                   3.5.3 Related Rules of the Expert System  67
               3.6 Calculation Procedure of GMS Optimization  68
                   3.6.1 Search Paths and Recursive Formulas of Fuzzy Dynamic Programming  68
                   3.6.2 Main Calculation Procedure  69
                   3.6.3 Description of the Input Data  71
                   3.6.4 Description of the Output Results  75
               3.7 Implementation  75
                   3.7.1 Input Data of a Real Scale System  76
                   3.7.2 Part of Output Results  77
               3.8 Conclusion 79

               Mathematical Models and Algorithms for Power System Optimization. https://doi.org/10.1016/B978-0-12-813231-9.00003-0
               # 2019 China Electric Power Press. Published by Elsevier Inc. All rights reserved.
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