Short-Term Scheduling for Large-Scale Cascaded Hydropower Systems with Multivibration Zones of High Head

被引:72
作者
Cheng, Chuntian [1 ]
Shen, Jianjian [1 ]
Wu, Xinyu [1 ]
机构
[1] Dalian Univ Technol, Inst Hydropower & Hydroinformat, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
Multivibration zones; Short-term scheduling; Peak load regulation; Large-scale hydropower system; POWER-FLOW LITERATURE; UNIT COMMITMENT; RESERVOIR MANAGEMENT; MODEL; OPERATION; ALGORITHM;
D O I
10.1061/(ASCE)WR.1943-5452.0000174
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Construction of huge hydropower plants in the southern region of China has been rapidly increasing in recent years. These plants usually have multiple vibration zones of high head that have a great effect on short-term scheduling and real-time operations. This paper presents a novel approach for optimizing short-term scheduling of large-scale cascaded hydropower systems with multivibration zones of high head. For the purpose of cutting down peak loads, standard deviation minimization relevant to the remaining load series for thermal systems was chosen as the objective nonlinear function. Before the optimization, unit forbidden operation zones were identified by assembled mathematical techniques and hydro unit commitments were optimized using dynamic programming. The combined sets of forbidden operation zones and hydro unit commitments were repeatedly used during the search process. An optimization framework that combined the progressive optimality algorithm with a vibration zone avoidance strategy was finally presented to solve the short-term hydropower scheduling problem. The proposed methodology was applied to a case study in China and the results obtained indicate that it is able to not only handle complex constraints of multivibration zones, but also provide efficient and feasible solutions for short-term scheduling of large plants. DOI: 10.1061/(ASCE)WR.1943-5452.0000174. (C) 2012 American Society of Civil Engineers.
引用
收藏
页码:257 / 267
页数:11
相关论文
共 31 条
[1]   Nonlinear optimization method for short-term hydro scheduling considering head-dependency [J].
Catalao, J. P. S. ;
Mariano, S. J. P. S. ;
Mendes, V. M. F. ;
Ferreira, L. A. F. M. .
EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, 2010, 20 (02) :172-183
[2]   Scheduling of Head-Sensitive Cascaded Hydro Systems: A Nonlinear Approach [J].
Catalao, J. P. S. ;
Mariano, S. J. P. S. ;
Mendes, V. M. F. ;
Ferreira, L. A. F. M. .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (01) :337-346
[3]   Comparison of particle swarm optimization and dynamic programming for large scale hydro unit load dispatch [J].
Cheng, Chun-tian ;
Liao, Sheng-li ;
Tang, Zi-Tian ;
Zhao, Ming-yan .
ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (12) :3007-3014
[4]  
[程春田 Cheng Chuntian], 2010, [水利学报, Journal of Hydraulic Engineering], V41, P477
[5]   HYDROTHERMAL POWER FLOW SCHEDULING ACCOUNTING FOR HEAD VARIATIONS [J].
ELHAWARY, ME ;
RAVINDRANATH, KM .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1992, 7 (03) :1232-1238
[6]   Solving the hydro unit commitment problem via dual decomposition and sequential quadratic programming [J].
Finardi, EC ;
da Silva, EL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (02) :835-844
[7]   Unit commitment of single hydroelectric plant [J].
Finardi, EC ;
da Silva, EL .
ELECTRIC POWER SYSTEMS RESEARCH, 2005, 75 (2-3) :116-123
[8]   Control models for hydroelectric energy optimization [J].
Georgakakos, AP ;
Yao, HM ;
Yu, YQ .
WATER RESOURCES RESEARCH, 1997, 33 (10) :2367-2379
[9]   Control model for hydroelectric energy-value optimization [J].
Georgakakos, AP ;
Yao, HM ;
Yu, YQ .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 1997, 123 (01) :30-38
[10]   Scheduling hydro power systems with restricted operating zones and discharge ramping constraints [J].
Guan, XH ;
Svoboda, A ;
Li, CA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1999, 14 (01) :126-131