基于源网荷互动的分布式能源消纳方法

Distributed energy consumption method based on source network load interaction

分布式能源发电的不确定性给电网公司消纳新能源带来了极大的挑战,电力物联网全域感知技术为分布式能源消纳提供了有效的数据支撑,故提出了一种基于源网荷互动的分布式能源消纳方法,构建了分布式能源总功率预测方法,采用自回归移动平均算法对新能源发电功率进行预测,并建立分布式能源发电波动影响因子,分析新能源发电波动对电网带来的影响。根据源网荷的互动情况,采用离群点自趋优算法,实现新能源机组有功功率精准控制,有效推动分布式能源的消纳。仿真验证表明:采用离群点自趋优的新能源机组控制算法能根据电网运行情况,自动调控分布式能源、电网资源,实现分布式能源最大化消纳,有效提高了园区分布式能源的经济运行水平。

The uncertainty of distributed energy generation brings great challenge to the grid companies in absorbing new energy.The technology of global perception of the internet of things provides effective data support for distributed energy consumption.In this paper,a distributed energy consumption method based on the interaction of source and network loads is proposed.Firstly,the total power prediction method of distributed energy is constructed,and the auto-regressive moving average algorithm is used to predict the power of new energy generation.On this basis,the impact factors of distributed energy generation fluctuation are established,and the impact of new energy generation fluctuation on power grid is analyzed.According to the interaction of the source network load,the algorithm of self optimization of outliers is adopted to realize the precise control of the active power of new energy units and effectively promote the consumption of distributed energy.The effectiveness and practicability of this method are verified by simulation.The new energy unit control algorithm with self optimization of outliers is adopted in this method,which can automatically adjust and control distributed energy and grid resources according to the operation of power grid,realize the purpose of maximizing the consumption of distributed energy,and improve the economic operation level of distributed energy in the park.