基于源荷匹配的异质能源互补发电调度

Heterogeneous Energy Complementary Power Generation Dispatching Based on Output-load Matching

全球能源发展趋势正由对传统化石燃料的依赖转向建立在可再生清洁能源基础上的新体系。水电站具有良好的调蓄能力,可以作为一种调节补偿"媒介"来平抑新能源发电的不稳定性,促进其集中上网消纳。提出了基于源荷匹配的异质能源互补发电短期多目标协调调度模型,主要考虑了电源出力与电网负荷的匹配程度以及可再生能源的利用率,设立最大源–荷匹配度和最小弃电量2个目标,将其解耦到2个子模型,通过双层嵌套模式来减小问题的维数,利用萤火虫算法对目标问题进行优化求解。应用该模型于小金川流域分布式光伏与小水电互补联合发电示范基地,优化后小水电和分布式光伏打捆输送可减小弃电量15%以上,提高源荷匹配度40%以上,该结果论证了模型的有效性,为异质能源互补发电优化调度提供了新的思路。

The global energy development trend is shifting from dependence on traditional fossil fuels to a new system based on renewable and clean energy.Hydropower stations have good capacity for regulation and storage,which can be used as a"media"to regulate and compensate the instability of the new energy power generation and promote its centralized consumption.This paper proposes a short-term multi-objective coordinated dispatching model for heterogeneous energy complementary power generation based on source-load matching,which mainly considers the matching degree of power output and grid load and the utilization rate of renewable energy.By setting up the two goals of maximum source-load matching and minimum discarded power,this model is decomposed into two sub-models,which are double-layered to reduce the dimension of the problem.Then the firefly algorithm is used to optimize the target problem.Applying this model to the Xiaojinchuan Basin,the small hydropower stations and distributed photovoltaic baling transportation can reduce the power abandoned by more than 15%and improve the matching degree of source-load by more than 40%after optimization.The results demonstrate the effectiveness of the model and provide a new idea for the optimal scheduling of heterogeneous energy complementary power generation.