基于改進(jìn)遺傳算法的電力工程變電站負(fù)荷預(yù)測(cè)優(yōu)化
Load Forecasting Optimization of Power Substation Based on Improved Genetic Algorithm
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摘要: 隨著電力需求的不斷增加，電力工程變電站負(fù)荷預(yù)測(cè)的準(zhǔn)確性對(duì)電力系統(tǒng)的運(yùn)行和優(yōu)化至關(guān)重要。本文介紹了改進(jìn)遺傳算法的基本原理，并在此基礎(chǔ)上構(gòu)建負(fù)荷預(yù)測(cè)優(yōu)化模型，最后進(jìn)行技術(shù)應(yīng)用測(cè)試，證明了改進(jìn)遺傳算法在實(shí)際電力工程中的有效性和可行性。Abstract: This paper introduces the basic principles of the improved genetic algorithm and constructs a load forecasting optimization model based on it. The technical application test proves the effectiveness and feasibility of the improved genetic algorithm in actual power engineering.
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