Research Article
Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs
@INPROCEEDINGS{10.4108/eai.8-12-2023.2344797, author={Na Cai and Shuibing Zheng and Shouquan Luo and Hang Gao and Danqi Chen}, title={Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs}, proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China}, publisher={EAI}, proceedings_a={MSIEID}, year={2024}, month={4}, keywords={power trading; refinement of resources;user needs}, doi={10.4108/eai.8-12-2023.2344797} }- Na Cai
Shuibing Zheng
Shouquan Luo
Hang Gao
Danqi Chen
Year: 2024
Refined Resource Allocation Algorithm for Power Trading Centers Based on User Service Needs
MSIEID
EAI
DOI: 10.4108/eai.8-12-2023.2344797
Abstract
In order to understand the refined resource allocation algorithm for power trading centers, a research on a refined resource allocation algorithm for power trading centers that is oriented towards user service needs has been proposed. Firstly, distinguish the nodes in the electricity market into two types of entities: energy nodes and energy block proxy routers; Subsequently, preferences in energy supply and demand are divided into three categories based on historical energy supply habits: environmentally friendly, transmission resource saving, and economically efficient; Furthermore, a class of energy information matching algorithms and comprehensive evaluation functions are proposed to meet the optimal allocation of power resources in a multi user environment. Simulation experiments show that this method can increase the proportion of clean energy consumption in market transactions, promote energy consumption nearby, and improve the resource allocation capacity of the power grid.
