Discrete shunt controls in a Newton optimal power flow
- Empros Systems International, Plymouth, MN (United States)
- Pacific Gas and Electric Co., San Francisco, CA (United States)
Efficient and effective methods are needed for modeling discrete control actions in optimal power flow algorithms. Modeling discrete controls as continuous variables and rounding them off to the nearest steps is not satisfactory for controls with large step sizes such as shunt capacitors and reactors because it can significantly degrade optimality. Rigorous solution with discrete controls would involve a combinatorial research procedure which would be unacceptably slow for real-time applications. In this paper a penalty based discretization algorithm is proposed. The algorithm consistently provides a near optimal discrete solution for shunt controls without combinatorial search. It has been implemented in a production grade Newton optimal power flow program and tested on two actual power networks. Test results are reported.
- OSTI ID:
- 6977669
- Journal Information:
- IEEE Transactions on Power Systems (Institute of Electrical and Electronics Engineers); (United States), Vol. 7:4; ISSN 0885-8950
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
POLICY AND ECONOMY
24 POWER TRANSMISSION AND DISTRIBUTION
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
POWER DISTRIBUTION
OPTIMAL CONTROL
ALGORITHMS
DATA
EFFICIENCY
NEWTON METHOD
TESTING
CALCULATION METHODS
CONTROL
INFORMATION
ITERATIVE METHODS
MATHEMATICAL LOGIC
290100* - Energy Planning & Policy- Energy Analysis & Modeling
240200 - Power System Networks
Transmission & Distribution- (1990-)
990200 - Mathematics & Computers