000221922 001__ 221922
000221922 005__ 20180317091945.0
000221922 020__ $$a978-8-8941-0512-4
000221922 02470 $$2ISI$$a000382485600033
000221922 037__ $$aCONF
000221922 245__ $$aStochastic Security Constrained Unit Commitment with Variable-Speed Pumped-Storage Hydropower Plants
000221922 260__ $$aNew York$$bIeee$$c2016
000221922 269__ $$a2016
000221922 300__ $$a7
000221922 336__ $$aConference Papers
000221922 520__ $$aThe Pumped Hydro Storages (PHSs) equipped with variables speed drives have several advantages, namely: i) power regulation in pumping mode, ii) extended operating range, iii) higher efficiency in turbine mode. Such flexible operation of the PHS units ensures capability of the PHS to provide the frequency control reserves even during the pumping mode. It may lead to increased revenues in the electricity market conditions. It is important to quantify the benefits of PHS, especially variable-speed ones. This paper proposes a Stochastic Security Constrained Unit Commitment (SSCUC) model which takes into account different models of pumped hydro units. Different energy and reserve provision models are considered for fixed-speed and variable-speed units in the generating and pumping modes. The presented day-ahead SSCUC problem considers the optimization of energy and reserves costs. The problem is solved using Benders decomposition approach, for which the master problem solves the unit commitment and the sub-problems ensure the feasibility of the solution for the base operating point and for a set of dedicated scenarios. The set of scenarios includes the base operating point, contingencies (i.e. N-1 criterion), and stochasticity of demand and renewable injections. The proposed formulation is successfully tested on IEEE RTS 24-bus system.
000221922 6531_ $$aBenders decomposition
000221922 6531_ $$arenewable injection forecast error
000221922 6531_ $$aLatin Hypercube Sampling
000221922 700__ $$0242728$$aAlizadeh-Mousavi, Omid$$g199572$$uABB Corp Res Ctr, Baden, Switzerland
000221922 700__ $$0246332$$aNick, Mostafa$$g218988
000221922 7112_ $$a19th Power Systems Computation Conference (PSCC)$$cGenova, ITALY$$dJUN 20-24, 2016
000221922 773__ $$t2016 Power Systems Computation Conference (Pscc)
000221922 909CO $$ooai:infoscience.tind.io:221922$$pSTI$$pconf
000221922 909C0 $$0252423$$pDESL$$xU12494
000221922 917Z8 $$x156731
000221922 937__ $$aEPFL-CONF-221922
000221922 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000221922 980__ $$aCONF