scholarly journals A continuous-time strategic capacity planning model

2005 ◽  
Vol 52 (4) ◽  
pp. 329-343 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Robin O. Roundy
Keyword(s):  
Continuous Time ◽  
Capacity Planning ◽  
Planning Model ◽  
Strategic Capacity

scholarly journals A general strategic capacity planning model under demand uncertainty

2006 ◽  
Vol 53 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Robin O. Roundy ◽  
Metin Çakanyildirim
Keyword(s):  
Capacity Planning ◽  
Demand Uncertainty ◽  
Planning Model ◽  
Strategic Capacity

scholarly journals Strategic Capacity Planning in KIOs: A Classification Scheme

2013 ◽  
pp. 191-198 ◽  
Author(s):  
C. Martínez ◽  
A. Lusa ◽  
M. Mas ◽  
R. de la Torre ◽  
M. Mateo
Keyword(s):  
Capacity Planning ◽  
Classification Scheme ◽  
Strategic Capacity

scholarly journals Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3602
Author(s):  
Yurong Wang ◽  
Ruolin Yang ◽  
Sixuan Xu ◽  
Yi Tang
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Capacity Planning ◽  
Optimization Theory ◽  
Variable Structure ◽  
Planning Model ◽  
Environmental Benefit ◽  
Time Segment ◽  
Planning Stage ◽  
Study Results

Distributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a variable-structure copula and optimization theory. First, wind power and local load are predicted at the planning stage by an autoregressive moving average (ARMA) model, then, variable-structure copula models are established based on different time segment strategies to depict the correlation of DWP and load, and the joint typical scenarios of DWP and load are generated by clustering, and a capacity planning model of DWP is proposed considering investment and operation cost, and environmental benefit and line loss cost under typical scenario conditions. Moreover, a collaborative capacity planning model for DWP and ESS is prospectively proposed. Based on the modified IEEE-33 bus system, the results of the case study show that the DWP capacity result is more reasonable after considering the correlation of wind and load by using a variable-structure copula. With consideration of the collaborative planning of DWP and load, the consumption of DWP is further improved, the annual cost of the system is more economical, and the quality of voltage is effectively improved. The study results validate the proposed method and provide effective reference for the planning strategy of DWP.

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