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基于GIS地理分区的虚拟电厂需求侧能源聚合模型

李石磊

地理空间信息2025,Vol.23Issue(3):86-91,6.
地理空间信息2025,Vol.23Issue(3):86-91,6.DOI:10.3969/j.issn.1672-4623.2025.03.020

基于GIS地理分区的虚拟电厂需求侧能源聚合模型

Demand-side Energy Aggregation Model of Virtual Power Plant Based on GIS Geographical Partitioning

李石磊1

作者信息

  • 1. 同方智慧能源有限责任公司,北京 100089
  • 折叠

摘要

Abstract

In order to solve the problem that the virtual power plant(VPP)couldn't scientifically and effectively aggregate and disperse energy resources during the construction process,we proposed a demand-side energy aggregation model of VPP based on GIS geographical partitioning,and established output models for wind power,photovoltaics,flexible loads,and electric vehicles.According to the GIS characteristics of energy distribution,we carried out the geographical division of energy types,and established the objective functions by the lowest average daily cost,the best daily load,the largest average daily power,and the highest aggregation degree of geographical division.Taking the VPP scale,geographical space distance,output,volatility and complementary as the constraint conditions,we used the improved bat algorithm to solve the aggregation model,and verified the effectiveness of aggregation model through the case analysis,which could provide a reference for the aggregation and dispersion of energy type in the process of VPP construction.

关键词

GIS/地理分区/VPP/需求侧能源/聚合模型

Key words

GIS/geographical division/VPP/demand-side energy/aggregation model

分类

天文与地球科学

引用本文复制引用

李石磊..基于GIS地理分区的虚拟电厂需求侧能源聚合模型[J].地理空间信息,2025,23(3):86-91,6.

地理空间信息

1672-4623

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