Reliability analysis technique for bulk-system planning
Thesis/Dissertation
·
OSTI ID:5372137
Bulk power system planning involves the development of generation and major transmission facilities so as to meet a prescribed reliability requirement at minimum cost. A systematic approach to bulk-system reliability analysis is presented. Two-state component models, a probabilistic demand model and a least square-error linearization of the a.c. power-flow equations, are used. The concept of Load-dependent Minimum Paths (LMP) is introduced and used to define subsets of states according to supply capability. These subsets are used to develop a probabilistic supply model which, combined with the demand model, yields reliability measures. LMPs also clearly point out the deficiencies in the system and suggest augmentation strategies to the planner. The probability distribution of demand not served is proposed as a planning criterion. This distribution is used to develop the Augmentation Function (AF) which indicates how the supply characteristics of the system must be modified in order to achieve the prescribed reliability. While the AF suggests demand levels at which system performance is to be improved, LMPs suggest contingencies that must be reinforced and expansion strategies likely to provide such reinforcement. In order to unify generation and transmission planning, these strategies are expressed as power injections into a bus or power-flow changes along corridors. The most-effective strategies are selected on the basis of the sensitivity of demand curtailed in the various contingency states. The selected strategies are then interpreted as actual equipment additions, to postulate alternative expansion plans.
- OSTI ID:
- 5372137
- Country of Publication:
- United States
- Language:
- English
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