Wind power plant economic dispatching method based on artificial neural network

• Main Authors: WANG GUOPING, LU XUEGANG, CAI BAORUI, SUN HUALI, DONG SHITAO
• Format: Patent
• Language: Chinese; English
• Published: 19.05.2020
• Subjects: CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; ELECTRICITY; GENERATION; SYSTEMS FOR STORING ELECTRIC ENERGY

The invention relates to a wind power plant economic dispatching method based on an artificial neural network. The method comprises the following steps: predicting wind power, load and electricity price based on an artificial neural network method; predicting wind power, load and electricity price uncertainty intervals; and designing an energy storage strategy. A two-stage combined energy storagescheduling strategy is designed for day-ahead and real-time market operation mechanisms of a typical power market, and the effect of improving economic benefits of wind power generation is achieved. 本发明涉及一种基于人工神经网络的风电场经济调度方法，包括如下步骤：基于人工神经网络方法进行风功率、负荷及电价预测；预测风功率、负荷及电价不确定性区间；设计储能策略。本发明针对典型电力市场的日前、实时市场运营机制，设计两级联合储能调度策略，具有提高风力发电经济效益的效果。