Research on Short-Term Load Prediction Including the Photovoltaic System

Abstract:

The global energy issues have become increasingly prominent in recent years, photovoltaic power generation as a renewable energy use pattern is widely used, but a large number of photovoltaic power generation to the grid is a big negative impact, it is necessary to predict the output power of the photovoltaic. Power system load forecasting is the reference and safeguard of the power system operation. This article analyzes the main point of the prediction of photovoltaic power system and power load system, then introduces the support vector machine (SVM) based on quantum particle swarm optimization (QPSO) to do the prediction. And then this paper proposes a generalized system load prediction system containing the photovoltaic power system.

• Periodical: Advanced Materials Research (Volumes 860-863)
• Pages: 135-140
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.860-863.135
• Online since: December 2013
• Authors: Yang Lei*, Shi Ping Zhou, Yong Jun Xia, Gang Hu, Xin Shu
• Keywords: Generalized System Load, Photovoltaic Power Generation, Power System Load, Prediction, Quantum Particle Swarm Optimization

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