Improved Immune Algorithm for Hydrothermal Joint Economic Scheduling

Abstract:

China is in a period of rapid economic development, Hydropower construction scale is increasingly expanding, Hydropower accounts for a considerable proportion of the grid, therefore it becomes more important to conduct the hydrothermal joint economic scheduling in gird. Hydrothermal joint scheduling optimization can make water fire and electric play to their strengths and so that to make a great contribution on conserving energy and protecting the environment. Medium and long-term hydrothermal scheduling seems to be more important because its long scheduling period, and can guide the short-term hydrothermal operation. However, under the medium and long-term hydrothermal scheduling, time span and the changing range of reservoir capacity is big, respect to short-term joint scheduling it is a more complex large-scale optimization problem. Therefore, it is very important to establish a reasonable medium and long-term hydrothermal joint scheduling model within the accuracy range and study the corresponding algorithm.

• Periodical: Advanced Materials Research (Volumes 1030-1032)
• Pages: 2582-2585
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1030-1032.2582
• Online since: September 2014
• Authors: Wei Zhou Wang*, Gang Zhang, Yu Li, Jing Jing Zheng
• Keywords: Genetic Algorithm (GA), Hydrothermal Joint Scheduling, Initial Feasible Solution, Initial Population, Long-Term

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