Assessing solution quality and computational performance in the long-term generation scheduling problem considering different hydro production function approaches

2019 ◽  
Vol 131 ◽  
pp. 45-54 ◽  
Author(s):  
Guilherme Luiz Minetto Fredo ◽  
Erlon Cristian Finardi ◽  
Vitor Luiz de Matos
Keyword(s):  
Production Function ◽  
Scheduling Problem ◽  
Solution Quality ◽  
Computational Performance ◽  
Generation Scheduling

scholarly journals Inflow Aggregation and Run-of-the-River Inflow Energy for Reducing Dimensionality in the Long-term Generation Scheduling Problem

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Guilherme Luiz Minetto Fredo ◽  
Erlon Cristian Finardi ◽  
Paulo Vitor Larroyd ◽  
Lucas Borges Picarelli
Keyword(s):  
Scheduling Problem ◽  
River Inflow ◽  
Generation Scheduling

scholarly journals Domain Partition of the Hydro Production Function for Solving Efficiently the Short-Term Generation Scheduling Problem

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Brunno H. Brito ◽  
Erlon C. Finardi ◽  
Fabricio Y. K. Takigawa ◽  
Pierry L. R. Nogueira ◽  
Douglas T. S. A. Morais ◽  
...  
Keyword(s):  
Production Function ◽  
Scheduling Problem ◽  
Short Term ◽  
Generation Scheduling ◽  
Domain Partition

Modified Migrating Birds Optimization for Solving the Low-carbon Scheduling Problem

2020 ◽  
Vol 12 (4) ◽  
pp. 63-75
Author(s):  
Zhifeng Zhang ◽  
Yusheng Sun ◽  
Yadong Cui ◽  
Haodong Zhu
Keyword(s):  
Production Scheduling ◽  
Job Shop ◽  
Optimal Solution ◽  
Scheduling Problem ◽  
Low Carbon ◽  
Scheduling Problems ◽  
Solution Quality ◽  
Migrating Birds Optimization ◽  
Initialization Scheme ◽  
Migrating Birds

Production scheduling problems have historically emphasized cycle time without involving the environmental factors. In the study, a low-carbon scheduling problem in a flexible job shop is considered to minimize the energy consumption, which mainly consists of two parts: the useful part and the wasted part. First, a mathematical model is built based on the features of the workshop. Second, a modified migrating bird's optimization (MMBO) is developed to obtain the optimal solution. In the MMBO, a population initialization scheme is designed to enhance the solution quality and convergence speed. Five types of neighborhood structures are introduced to create neighborhood solutions. Furthermore, a local search method and a reset mechanism are developed to improve the computational results. Finally, experimental results validate that the MMBO is effective and feasible.

scholarly journals Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2239
Author(s):  
Bin Luo ◽  
Shumin Miao ◽  
Chuntian Cheng ◽  
Yi Lei ◽  
Gang Chen ◽  
...  
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Copula Function ◽  
Market Environment ◽  
Scheduling Model ◽  
Multiple Markets ◽  
Generation Scheduling ◽  
Hydropower Plants ◽  
Proposed Model

The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

Sign in / Sign up

Export Citation Format

Share Document