Optimization Online


Large-Scale Decentralized Unit Commitment

Mohammad Javad Feizollahi (feizollahi***at***gatech.edu)
Mitch Costley (mitch.costley***at***gatech.edu)
Shabbir Ahmed (sahmed***at***isye.gatech.edu)
Santiago Grijalva (sgrijalva***at***ece.gatech.edu)

Abstract: A method for formulating and solving a decentralized unit commitment problem is presented in this work. Several forces are motivating the development of decentralized power system operations, including growing interest in decentralized control frameworks, the need for inter-ISO and multi-area optimization, expanding complexity in electricity markets, and an opportunity to solve modern commitment problems faster. The method, which extends the alternating direction method of multipliers (ADMM), is presented along with several heuristics and refinements to mitigate oscillations and traps in local optimality that result from the nonconvexity of unit commitment. We present and discuss the promising results from testing the method on large-scale systems of more than 3,000 buses. The scalability observed so far suggests that this method is a practical option for use with large systems and may provide a significant benefit for computational speed.

Keywords: Unit commitment, decentralized optimization, ADMM

Category 1: Integer Programming ((Mixed) Integer Linear Programming )

Category 2: Network Optimization

Citation: Feizollahi M. J., Ahmed S., Costley M., Grijalva S. "Large Scale Decentralized Unit Commitment," to appear in International Journal of Electrical Power & Energy Systems, 2015.

Download: [PDF]

Entry Submitted: 05/05/2014
Entry Accepted: 05/05/2014
Entry Last Modified: 04/20/2015

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