基于改进遗传算法的电力工程变电站负荷预测优化

Load Forecasting Optimization of Power Substation Based on Improved Genetic Algorithm

摘要: 随着电力需求的不断增加，电力工程变电站负荷预测的准确性对电力系统的运行和优化至关重要。本文介绍了改进遗传算法的基本原理，并在此基础上构建负荷预测优化模型，最后进行技术应用测试，证明了改进遗传算法在实际电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.