Short term hydrothermal scheduling with bilateral transactions via bundle method

2007 ◽  
Vol 29 (5) ◽  
pp. 387-396 ◽  
Author(s):  
Alfredo J. Mezger ◽  
Katia C. de Almeida
2021 ◽  
Vol 13 (9) ◽  
pp. 4706
Author(s):  
Zhiyu Yan ◽  
Shengli Liao ◽  
Chuntian Cheng ◽  
Josué Medellín-Azuara ◽  
Benxi Liu

Short-term hydrothermal scheduling (STHS) can improve water use efficiency, reduce carbon emissions, and increase economic benefits by optimizing the commitment and dispatch of hydro and thermal generating units together. However, limited by the large system scale and complex hydraulic and electrical constraints, STHS poses great challenges in modeling for operators. This paper presents an improved proximal bundle method (IPBM) within the framework of Lagrangian relaxation for STHS, which incorporates the expert system (ES) technique into the proximal bundle method (PBM). In IPBM, initial values of Lagrange multipliers are firstly determined using the linear combination of optimal solutions in the ES. Then, each time PBM declares a null step in the iterations, the solution space is inferred from the ES, and an orthogonal design is performed in the solution space to derive new updates of the Lagrange multipliers. A case study in a large-scale hydrothermal system in China is implemented to demonstrate the effectiveness of the proposed method. Results in different cases indicate that IPBM is superior to standard PBM in global search ability and computational efficiency, providing an alternative for STHS.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Muhammad Salman Fakhar ◽  
Syed Abdul Rahman Kashif ◽  
Sheroze Liaquat ◽  
Akhtar Rasool ◽  
Sanjeevikumar Padmanaban ◽  
...  

2014 ◽  
Vol 116 ◽  
pp. 117-127 ◽  
Author(s):  
Mohammad Reza Norouzi ◽  
Abdollah Ahmadi ◽  
Adel M. Sharaf ◽  
Ali Esmaeel Nezhad

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