Unit commitment under uncertainty in AC transmission systems via risk averse semidefinite stochastic Programs
Received: 18 April 2015
Accepted: 23 April 2016
This paper addresses unit commitment under uncertainty of load and power infeed from renewables in alternating current (AC) power systems. Beside traditional unit-commitment constraints, the physics of power flow are included. To gain globally optimal solutions a recent semidefinite programming approach is used, which leads us to risk averse two-stage stochastic mixed integer semidefinite programs for which a decomposition algorithm is presented.
Mathematics Subject Classification: 90C15 / 90C35 / 90C22
Key words: Stochastic programming / semidefinite programming / AC power flow
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