NDLI: Power System Scheduling with Fuzzy Reserve Requirements

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Power System Scheduling with Fuzzy Reserve Requirements

Content Provider	Semantic Scholar
Author	Guan, Xiaohong Luh, Peter B. Prasannan, Balakumar
Copyright Year	1996
Abstract	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.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.eng2.uconn.edu/msl/paper/guan/Pes95spa.pdf
Language	English
Access Restriction	Open
Subject Keyword	Categories Classification Fuzzy logic Heuristics Lagrange multiplier Mathematical optimization Optimization problem Requirement Schedule (document type) Schedule (project management) Scheduling (computing) Scheduling - HL7 Publishing Domain Solutions Subgradient method
Content Type	Text
Resource Type	Article

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