关键词: 共享式全局寻优算法, 神经网络, 短期负荷预测, 电力系统

Abstract: The short-term load forecast results have important influence to the electrical power system economic efficiency.In view of the multi-minimum problem，it points out the mutual amalgamation of development tendency，proposes the sharing global algorithm which manifesting the big amalgamation thought.Also this paper combines present intelligent algorithms and group intelligence optimization algorithms organically together and makes them sharing the optimized information，optimize coordinately，thus forms the richest optimization mechanism and achieves the strongest global optimization ability.And in order to fundamentally enhance the neural network speed and the forecast precision in the short-term power load forecast，this paper proposes the short-term load forecast method which unifies SGOA and BP，and traines the network parameter with the SGOA algorithm to reach a stable error value.Then it carries on the BP algorithm with the optimized weight.During the construction of the network model，influence of factors such as climate，temperature and so on have simultaneously also been considered.There have carried on fuzzy processing about the factors and to take them as input of the network.The simulation indicates a high precision and timeliness results of the load forecast system based on this method.

Key words: Share Global Optimization Algorithm, Neural Network, short-term load forecasting, power system