Adaptive Robust Network-Constrained AC Unit Commitment

被引:68
作者
Amjady, Nima [1 ]
Dehghan, Shahab [2 ]
Attarha, Ahmad [1 ]
Conejo, Antonio J. [3 ,4 ]
机构
[1] Semnan Univ, Dept Elect Engn, Semnan 3513119111, Iran
[2] Islamic Azad Univ, Qazvin Branch, Dept Elect Biomed & Mechatron Engn, Qazvin 34116846131, Iran
[3] Ohio State Univ, Integrated Syst Engn Dept, Columbus, OH 43210 USA
[4] Ohio State Univ, Dept Elect & Comp Engn, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
AC network modeling; convexification; decomposition algorithm; robust optimization (RO); unit commitment (UC); wind power production; WIND POWER; BENDERS DECOMPOSITION; OPTIMIZATION; UNCERTAINTY; LOAD;
D O I
10.1109/TPWRS.2016.2562141
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents an adaptive robust network-constrained AC unit commitment (AC-UC) model. This model is formulated as a min-max-min optimization problem, which allows representing the uncertain nature of wind power productions in terms of bounded intervals. A tri-level decomposition algorithm using primal and dual cutting planes is introduced to solve this AC-UC problem and to find a robust commitment schedule withstanding the worst realizations of uncertain wind power. To reduce the computation burden and to obtain a tractable formulation, the AC power flow equations are convexified using a Signomial transformation. The proposed AC-UC model is illustrated using the IEEE 24-bus reliability test system. Simulation results demonstrate the efficiency of the proposed approach.
引用
收藏
页码:672 / 683
页数:12
相关论文
共 35 条
[1]   Multi-Area Unit Scheduling and Reserve Allocation Under Wind Power Uncertainty [J].
Ahmadi-Khatir, Ali ;
Conejo, Antonio J. ;
Cherkaoui, Rachid .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2014, 29 (04) :1701-1710
[2]  
Alliance for Sustainable Energy Department of Energy (DOE) Nat. Renew. Renewable Energy Lab. (NREL), SYST ADV MOD VERS 20
[3]   Security-constrained Unit Commitment Considering Hydro Units and AC Network Modeling by a New Hybrid Solution Method Composed of Benders Decomposition and Outer Approximation [J].
Amjady, Nima ;
Ansari, Mohammad Reza .
ELECTRIC POWER COMPONENTS AND SYSTEMS, 2012, 40 (13) :1445-1469
[4]   Exploring the Modeling Capacity of Two-Stage Robust Optimization: Variants of Robust Unit Commitment Model [J].
An, Yu ;
Zeng, Bo .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2015, 30 (01) :109-122
[5]   Causes of the 2003 major grid blackouts in north America and Europe, and recommended means to improve System Dynamic Performance [J].
Andersson, G ;
Donalek, P ;
Farmer, R ;
Hatziargyriou, N ;
Kamwa, I ;
Kundur, P ;
Martins, N ;
Paserba, J ;
Pourbeik, P ;
Sanchez-Gasca, J ;
Schulz, R ;
Stankovic, A ;
Taylor, C ;
Vittal, V .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1922-1928
[6]  
[Anonymous], 2010, DECISION MAKING UNCE
[7]   Stochastic security-constrained hydrothermal unit commitment considering uncertainty of load forecast, inflows to reservoirs and unavailability of units by a new hybrid decomposition strategy [J].
Ansari, Mohammad Reza ;
Amjady, Nima ;
Vatani, Behdad .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2014, 8 (12) :1900-1915
[8]   Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem [J].
Bertsimas, Dimitris ;
Litvinov, Eugene ;
Sun, Xu Andy ;
Zhao, Jinye ;
Zheng, Tongxin .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (01) :52-63
[9]   Market-clearing with stochastic security - Part II: Case studies [J].
Bouffard, F ;
Galiana, FD ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1827-1835
[10]   Market-clearing with stochastic security - Part I: Formulation [J].
Bouffard, F ;
Galiana, FD ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (04) :1818-1826