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基于BA-ELM和模糊机会约束的源荷储资源协同运行
作者:
作者单位:

国网宁夏电力有限公司经济技术研究院

基金项目:

国网宁夏电力有限公司科技项目(5229JY230007)


Cooperative operation of source-load-storage resources based on BA-ELM and fuzzy chance constraints
Author:
Affiliation:

Economic and Technical Research Institute of State Grid Ningxia Electric Power Co.

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    摘要:

    可靠有效的中长期电力需求预测是电力生产输送的重要依据,同时目前我国新能源规划发展迅速,风光波动性的影响不可忽视,未来电力系统规划能否适应需求变化场景经济高效地运行成为高度关切的问题。为综合考虑电力需求与电力系统协同运行,平抑新能源波动与需求偏差,提出了一种基于蝙蝠算法优化的极限学习机算法和引入模糊参数的源荷储资源协同运行算法的预测调度-综合评价模型,并以西北某地区为例进行了分析研究,结果表明该模型可以准确预测不同发展情景下的电力需求,并且可以为源荷储资源规划优化提出科学性参考意见。

    Abstract:

    Reliable and effective medium- and long-term power demand forecast is an important basis for power production and delivery, while at present, China's new energy planning is developing rapidly, the impact of wind and light volatility can not be ignored, the future of the power system planning can adapt to the demand change scenarios economically and efficiently run has become a high concern. In order to comprehensively consider the power demand and power system cooperative operation, a predictive dispatch-integrated evaluation model based on the bat algorithm optimization of the extreme learning machine algorithm and the introduction of fuzzy parameters of the source-load-storage resource cooperative operation algorithm is proposed, and an analysis and research is carried out for the example of the region in the Northwest, and the results show that the model can accurately forecast the power demand under different development scenarios, and can provide scientific references for the source-load-storage resource The results show that the model can accurately predict power demand under different development scenarios, and can provide scientific references for source-load-storage resource planning.

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张泽龙,陈宝生,杨燕,靳盘龙,刘桐,赵嘉麒.基于BA-ELM和模糊机会约束的源荷储资源协同运行[J].南京信息工程大学学报,,():

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  • 收稿日期:2024-01-10
  • 最后修改日期:2024-02-06
  • 录用日期:2024-02-26

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