TY - GEN
T1 - Research on the Intelligent Decision Model and Application of Multi VPP Economic Dispatching Considering Uncertain Risks in the Market Background
AU - Wang, Wei
AU - Wang, Jingtao
AU - Wang, Zhiguang
AU - Yang, Xin
AU - Zhou, Jing
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - The regulation ability of virtual power plants varies under different types of resource aggregation, and the difficulties they bring when participating in auxiliary service decision-making are different. In special circumstances, it may even affect the safe and reliable operation of the power grid. However, under market conditions, actively involving virtual power plants in power grid scheduling and enabling them to reasonably obtain greater benefits is a key factor in promoting the development of virtual power plants. In response to such situations, this article proposes an intelligent decision-making strategy for multi-objective and multi collaborative economic dispatch of virtual power plants in the market context. Based on the multi-objective cascade method model, a distributed economic dispatch operation framework is constructed with the objectives of "response level of provincial dispatching demand", "total response cost", VPP uncertainty risk", etc., to coordinate various virtual power plant entities and maximize their economic benefits. Finally, the engineering application verified the effectiveness and practicality of this economic dispatch strategy.
AB - The regulation ability of virtual power plants varies under different types of resource aggregation, and the difficulties they bring when participating in auxiliary service decision-making are different. In special circumstances, it may even affect the safe and reliable operation of the power grid. However, under market conditions, actively involving virtual power plants in power grid scheduling and enabling them to reasonably obtain greater benefits is a key factor in promoting the development of virtual power plants. In response to such situations, this article proposes an intelligent decision-making strategy for multi-objective and multi collaborative economic dispatch of virtual power plants in the market context. Based on the multi-objective cascade method model, a distributed economic dispatch operation framework is constructed with the objectives of "response level of provincial dispatching demand", "total response cost", VPP uncertainty risk", etc., to coordinate various virtual power plant entities and maximize their economic benefits. Finally, the engineering application verified the effectiveness and practicality of this economic dispatch strategy.
KW - Resource aggregation
KW - component
KW - economic dispatching
KW - uncertain risks
KW - virtual power plants
UR - https://www.scopus.com/pages/publications/86000223138
U2 - 10.1109/NPSIF64134.2024.10883256
DO - 10.1109/NPSIF64134.2024.10883256
M3 - 会议稿件
AN - SCOPUS:86000223138
T3 - 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum, NPSIF 2024
SP - 947
EP - 953
BT - 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum, NPSIF 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 Boao New Power System International Forum - Power System and New Energy Technology Innovation Forum, NPSIF 2024
Y2 - 8 December 2024 through 10 December 2024
ER -