Next Article in Journal
Industrial Photovoltaic Systems: An Economic Analysis in Non-Subsidized Electricity Markets
Next Article in Special Issue
An Analysis of Decentralized Demand Response as Frequency Control Support under CriticalWind Power Oscillations
Previous Article in Journal
A High Temperature Experimental Characterization Procedure for Oxide-Based Thermoelectric Generator Modules under Transient Conditions
Previous Article in Special Issue
Optimal Subinterval Selection Approach for Power System Transient Stability Simulation
Article

Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power

Institute of Hydropower System & Hydroinformatics, Dalian University of Technology, Dalian 116024, China
*
Author to whom correspondence should be addressed.
Academic Editor: Ying-Yi Hong
Energies 2015, 8(11), 12848-12864; https://doi.org/10.3390/en81112345
Received: 25 September 2015 / Revised: 30 October 2015 / Accepted: 4 November 2015 / Published: 12 November 2015
(This article belongs to the Special Issue Electric Power Systems Research)
Coal-fired thermal power plants, which represent the largest proportion of China’s electric power system, are very sluggish in responding to power system load demands. Thus, a reasonable and feasible scheme for the medium-term optimal commitment of thermal units (MOCTU) can ensure that the generation process runs smoothly and minimizes the start-up and shut-down times of thermal units. In this paper, based on the real-world and practical demands of power dispatch centers in China, a flexible mathematical model for MOCTU that uses equal utilization hours for the installed capacity of all thermal power plants as the optimization goal and that considers the award hours for MOCTU is developed. MOCTU is a unit commitment (UC) problem with characteristics of large-scale, high dimensions and nonlinearity. For optimization, an improved progressive optimality algorithm (IPOA) offering the advantages of POA is adopted to overcome the drawback of POA of easily falling into the local optima. In the optimization process, strategies of system operating capacity equalization and single station operating peak combination are introduced to move the target solution from the boundary constraints along the target isopleths into the feasible solution’s interior to guarantee the global optima. The results of a case study consisting of nine thermal power plants with 27 units show that the presented algorithm can obtain an optimal solution and is competent in solving the MOCTU with high efficiency and accuracy as well as that the developed simulation model can be applied to practical engineering needs. View Full-Text
Keywords: medium-term unit commitment (UC); progressive optimality algorithm (POA); target isopleths; utilization hours of installed capacity medium-term unit commitment (UC); progressive optimality algorithm (POA); target isopleths; utilization hours of installed capacity
Show Figures

Figure 1

MDPI and ACS Style

Liao, S.; Li, Z.; Li, G.; Wang, J.; Wu, X. Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power. Energies 2015, 8, 12848-12864. https://doi.org/10.3390/en81112345

AMA Style

Liao S, Li Z, Li G, Wang J, Wu X. Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power. Energies. 2015; 8(11):12848-12864. https://doi.org/10.3390/en81112345

Chicago/Turabian Style

Liao, Shengli, Zhifu Li, Gang Li, Jiayang Wang, and Xinyu Wu. 2015. "Modeling and Optimization of the Medium-Term Units Commitment of Thermal Power" Energies 8, no. 11: 12848-12864. https://doi.org/10.3390/en81112345

Find Other Styles

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop