Strategy for Multi-Time-Scale Coordinated Operation of Virtual Power Plant Clusters with Electric Energy Interaction Sharing

The Virtual Power Plant (VPP) can break geographical limitations and achieve wide-area energy interconnection and sharing. To address the differences in "generation-load" resources among different VPPC within the same region and to solve the real-time power balance issues caused by the vol...

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Published in2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA) pp. 875 - 880
Main Authors Liu, Yanru, Guo, Yue, Lu, Mingxuan, Zhang, Longyu, Ren, Yuan, Kong, Xiangyu
Format Conference Proceeding
LanguageEnglish
Published IEEE 21.07.2024
Subjects
coordinated dispatch
distributed renewable energy
Electricity
energy interaction sharing
Power supplies
Pricing
Random variables
Real-time systems
Reliability
Renewable energy sources
rolling optimization
Systems simulation
Uncertainty
virtual power plant
Virtual power plants
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Summary:The Virtual Power Plant (VPP) can break geographical limitations and achieve wide-area energy interconnection and sharing. To address the differences in "generation-load" resources among different VPPC within the same region and to solve the real-time power balance issues caused by the volatility of distributed renewable energy (DRE) and the uncertainty of electricity consumption behavior, a cluster service provider is introduced to manage the clusters containing various types of VPPC. Independent pricing for internal energy exchanges within the VPP cluster is implemented to incentivize VPPC to participate in coordinated dispatch. Considering the predictability of random variables and the cumulative errors that increase with decision-making time, a two-stage joint optimization model is established, which includes day-ahead coordinated dispatch and intra-day rolling optimization. The day-ahead stage focuses on the participation of multiple VPP clusters in external market transactions and internal energy exchanges, while the intra-day stage focuses on balancing VPP power to reduce deviations, forming a multitime-scale scheduling strategy for energy sharing and interaction among multiple VPPC. Finally, a simulation analysis is conducted using a multi-VPP cluster system integrating various distributed energy sources as an example. The results demonstrate that the power balance issues within the VPP cluster system are effectively improved, significantly enhancing the overall operational economy.
DOI:10.1109/CCSSTA62096.2024.10691864