Power system scheduling with fuzzy reserve requirements
- Xian Jiaotong Univ., Shaanxi (China). Inst. of Systems Engineering
- Univ. of Connecticut, Storrs, CT (United States). Dept. of Electrical and Systems Engineering
The modeling of constraints is an important issue in power system scheduling. Constraints can be generally classified into two categories: (1) physical limits and (2) operating limits. A schedule violating physical limit or constraint would not be acceptable. An operating limit, however, is often imposed to enhance system security but does not represent a physical bound. This kind of soft limits can be temporarily violated a little bit if necessary, but not too much. These constraints are therefore fuzzy in nature, and crisp treatment of them may lead to over conservative solutions. In this paper, a fuzzy optimization-based method is developed to solve power system scheduling problem with fuzzy reserve requirements. The problem is first converted to a crisp and separable optimization problem. Lagrange multipliers are then used to relax system-wide constraints and decompose the problem into a number of unit-wise subproblems and a membership subproblem. These subproblems can be efficiently solved, and the multipliers are updated by using a subgradient method. Heuristics are then used to construct a feasible schedule based on subproblem solutions. Numerical testing results show that near optimal schedules are obtained, and the method can provide a good balance between reducing costs and satisfying reserve requirements.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 264258
- Report Number(s):
- CONF-950727--
- Journal Information:
- IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 2 Vol. 11; ISSN 0885-8950; ISSN ITPSEG
- Country of Publication:
- United States
- Language:
- English
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