Equipment Selection and Capacity Optimization Configuration of Rooftop Integrated Photovoltaic-storage System Based on Multi-energy Flow Balance Network Modeling
|更新时间:2025-11-13
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Equipment Selection and Capacity Optimization Configuration of Rooftop Integrated Photovoltaic-storage System Based on Multi-energy Flow Balance Network Modeling
Journal of Northeast Electric Power UniversityVol. 45, Issue 3, (2025)
HUANG Dawei, CHEN Bingyun, YIN Hang. Equipment Selection and Capacity Optimization Configuration of Rooftop Integrated Photovoltaic-storage System Based on Multi-energy Flow Balance Network Modeling [J]. Journal of northeast electric power university, 2025, 45(3).
DOI:
HUANG Dawei, CHEN Bingyun, YIN Hang. Equipment Selection and Capacity Optimization Configuration of Rooftop Integrated Photovoltaic-storage System Based on Multi-energy Flow Balance Network Modeling [J]. Journal of northeast electric power university, 2025, 45(3). DOI: 10.19718/j.issn.1005-2992.2025-03-0030-10.
Equipment Selection and Capacity Optimization Configuration of Rooftop Integrated Photovoltaic-storage System Based on Multi-energy Flow Balance Network Modeling
Aiming at the problems of equipment selection and capacity configuration of roof integrated photovoltaic storage system
this paper proposes the method of roof photovoltaic equipment selection and capacity optimization configuration based on multi-energy flow balance network model.The equipment and energy flow in the integrated photovoltaic storage system are abstracted as the binary relationship between nodes and branches
and the multi-energy flow balance network modeling is constructed to portray the multi-energy flow coupling relationship and distribution characteristics within the system;through the analysis of the multi-energy flow balance network topology
the graph theoretic method of vertex graph decomposition is applied
and the energy flow correlation matrix between the aggregation-assignment vertexes and the equipment to be selected is formed
and the equipment to be selected is combined in the form of 0-1 variables.The problem of optimizing the capacity allocation of rooftop photovoltaic integrated system is introduced
and an integer linear programming model with comprehensive consideration of economic and energy-saving indexes
as well as equipment selection
capacity allocation and operation constraints
is established.Through simulation
the reasonableness and effectiveness of the proposed modeling method in improving the economy and energy utilization level of building roof integrated photovoltaic storage system are verified.