Multistage Multiresolution Robust Unit Commitment With Nondeterministic Flexible Ramp Considering Load and Wind Variabilities

被引:66
作者
Alizadeh, Mohammad Iman [1 ]
Moghaddam, Mohsen Parsa [1 ]
Amjady, Nima [2 ]
机构
[1] Tarbiat Modares Univ, Fac Elect & Comp Engn, Tehran 14115143, Iran
[2] Semnan Univ, Dept Elect Engn, Semnan 35195363, Iran
关键词
Robust unit commitment (RUC); affinely adjustable robust optimization (AARO); ramp markets; renewable energy sources (RES); OPTIMIZATION; FLEXIBILITY; PENETRATION; ENERGY; SYSTEM;
D O I
10.1109/TSTE.2017.2764061
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper investigates the impacts of integrating nondeterministic flexible ramp reserves in a multistage multiresolution day-ahead robust unit commitment to cope with variability of renewable energy sources. While the common literature considers deterministic forms of flexible ramp reserves, the proposed affinely adjustable robust UC model considers explicit endogenous up and down subhourly ramp reserve deployment to effectively allocate flexible ramp capacities. In addition, unlike the conventional noncausal two-stage robust unit commitment models that immunize solutions against worst economic scenario with the dependency of decisions on the future information of uncertainty, the current nonconservative multistage model optimizes hourly commitment and dispatch scheduling for the base-case scenario, while ensuring that the specified subhourly causal ramp reserves can be adaptively adjusted. Moreover, dimensionality limitations of the conventional duality-based affinely adjustable robust optimizations are resolved. The effectiveness of the proposed model compared with conventional robust unit commitment frameworks is extensively illustrated on the IEEE 24-bus reliability test system and the IEEE 118-bus test system.
引用
收藏
页码:872 / 883
页数:12
相关论文
共 41 条
[1]  
Abdul-Rahman KH, 2012, IEEE POW ENER SOC GE
[2]   Stochastic Multiobjective Market Clearing of Joint Energy and Reserves Auctions Ensuring Power System Security [J].
Amjady, Nima ;
Aghaei, Jamshid ;
Shayanfar, Heidar Ali .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (04) :1841-1854
[3]  
[Anonymous], 2012, P 2012 IEEE POW EN S
[4]   Adjustable robust solutions of uncertain linear programs [J].
Ben-Tal, A ;
Goryashko, A ;
Guslitzer, E ;
Nemirovski, A .
MATHEMATICAL PROGRAMMING, 2004, 99 (02) :351-376
[5]   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
[6]   Theory and Applications of Robust Optimization [J].
Bertsimas, Dimitris ;
Brown, David B. ;
Caramanis, Constantine .
SIAM REVIEW, 2011, 53 (03) :464-501
[7]  
Billinton R., 1984, RELIABILITY EVALUATI, V2
[8]   A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem [J].
Carrion, Miguel ;
Arroyo, Jose M. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (03) :1371-1378
[9]   Wind power forecast using wavelet neural network trained by improved Clonal selection algorithm [J].
Chitsaz, Hamed ;
Amjady, Nima ;
Zareipour, Hamidreza .
ENERGY CONVERSION AND MANAGEMENT, 2015, 89 :588-598
[10]  
Cobos N. G., 2017, IEEE T SMAR IN PRESS