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Application of Fixed Length Gene Genetic Programming (FLGGP) in Hydropower Reservoir Operation

机译：固定长度基因遗传规划（FLGGP）在水库水库调度中的应用

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摘要

This paper develops a new method for real-time operation of reservoir systems. Genetic programming (GP) and a developed fixed length gene GP (FLGGP) are applied and compared in two approaches of static and dynamic operation rules with the aim of hydroelectric supply of Karun3 reservoir in Iran. Results are compared with those of genetic algorithm (GA) and nonlinear programming (NLP) method, indicating that GP and FLGGP have a higher efficiency (on average, 5 %) than GA and NLP operation methods. In addition, results showed that the FLGGP method is a powerful and efficient tool without the limitations of GP and can be used as a suitable replacement to GP. Comparison of two approaches of static and dynamic operation rules demonstrated the superiority of dynamic operation rules and this approach has an average superiority of 10 % to static operation rules in all methods.
机译：本文开发了一种新的油藏系统实时运行方法。应用遗传程序设计（GP）和已开发的固定长度基因GP（FLGGP），以静态和动态操作规则的两种方法进行比较，目的是为伊朗Karun3水库提供水力发电。将结果与遗传算法（GA）和非线性编程（NLP）方法的结果进行比较，表明GP和FLGGP比GA和NLP运算方法具有更高的效率（平均5％）。此外，结果表明，FLGGP方法是一种功能强大且高效的工具，不受GP的限制，可以用作GP的合适替代品。静态和动态操作规则的两种方法的比较证明了动态操作规则的优越性，并且该方法在所有方法中均比静态操作规则具有10％的平均优势。

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