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Electrical Power Unit Commitment: Deterministic and by Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng

24 February 2017 adminPower Systems

By Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng

This quantity within the SpringerBriefs in power sequence bargains a scientific assessment of unit dedication (UC) difficulties in electrical energy iteration. It updates texts written within the overdue Nineteen Nineties and early 2000s via together with the basics of either UC and state of the art modeling in addition to answer algorithms and highlighting stochastic versions and mixed-integer programming techniques.

The UC difficulties are normally formulated as mixed-integer linear courses, even supposing there are numerous editions. a few algorithms were built for, or utilized to, UC difficulties, together with dynamic programming, Lagrangian leisure, basic mixed-integer programming algorithms, and Benders decomposition. moreover the ebook discusses the new tendencies in fixing UC difficulties, particularly stochastic programming types, and complicated suggestions to address huge numbers of integer- choice variables as a result of situation propagation

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Extra resources for Electrical Power Unit Commitment: Deterministic and Two-Stage Stochastic Programming Models and Algorithms

Sample text

IEEE Trans Power Syst 2(2):339–348 Senjyu T, Shimabukuro K, Uezato K, Funabashi T (2003) A fast technique for unit commitment problem by extended priority list. IEEE Trans Power Syst 18(2):882–888 Shahidehpour M, Yamin H, Li Z (2003) Market operations in electric power systems, forecasting, scheduling, and risk management. Wiley, New York Withironprasert K, Chusanapiputt S, Nualhong D, Jantarang S, Phoomvuthisarn S (2009) Hybrid ant system/priority list method for unit commitment problem with operating constraints.

Particularly, we provided a detailed introduction on the most widely used methods for solving moderate power systems, involving MILP, LR decomposition method and BD decomposition method. References [BGC05] [CA06] [CGB06] Bouffard F, Galiana FD, Conejo AJ (2005) Market-clearing with stochastic securitypart I: formulation. IEEE Trans Power Syst 20(4):1818–1826 Carrion M, Arroyo JM (2006) A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans Power Syst 21(3):1371– 1378 Castillo E, Garca-Bertrand RMR (2006) Decomposition techniques in mathematical programming.

In recent years great interests has been directed towards reducing the impacts of uncertainty on electrical power system, and the focuses of solving deterministic UC problems are transferred to solving UC problems under uncertainty. One of successful approaches is to apply two-stage stochastic programming to build UC models incorporating system’s uncertainties. Also, several commonly used algorithms are introduced because they achieve better computational performance to deal with the large-scale real world problems.

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