Open AccessResearch on Energy Optimization Method of Virtual Power Plant Considering Coordination and Interaction of Source-Load-Storage
Author(s) -
Zhimin Yuan,
Andi Huang,
Jinyong Lei,
Yanzhang Gu,
Zuogang Guo,
Hongliang Bai,
Chenshuo Wu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/474/5/052056
Subject(s) - virtual power plant , renewable energy , distributed generation , energy storage , computer science , correctness , grid , intermittent energy source , wind power , power (physics) , distributed computing , engineering , electrical engineering , physics , mathematics , quantum mechanics , programming language , geometry
Developing renewable energy generation such as wind power and photovoltaics is an effective way to cope with energy shortage and environmental problems. The virtual power plant (VPP) realizes the grid-connected operation of intermittent distributed renewable energy by aggregating multiple types of distributed energy resources. In order to achieve the energy optimization problem of the VPP, an optimization method of VPP considering coordination and interaction of source-load-storage is proposed in this paper. First, models of components in the VPP are established. Next, an energy optimization model of the VPP considering coordination and interaction of source-load-storage is constructed. Finally, a case is studied to verify the correctness and effectiveness of the method. The results show that the coordinated consideration of distributed generation, energy storage and demand response loads contributes to reducing the operating costs and carbon emissions of the VPP.