To give full play to advantages of multi-energy synergy
efficiency
and environmental sustainability in integrated energy systems (IES) while tapping into underutilized energy storage resources
this paper proposes an energy storage capacity allocation method that accounts for the equivalent electrical storage characteristics of thermal and gas networks. Firstly
the thermal storage capacities of thermal networks
buildings
and combined heat and power(CHP) units are quantitatively analyzed using the finite element difference method
thermal inertia analysis
and CHP operational characteristics. A conversion method is then introduced to translate thermal storage capacity into equivalent electrical storage capacity. Secondly
the dynamic behavior of natural gas pipelines is modeled using energy and momentum conservation equations
and pipeline gas storage is quantified via finite element simulations. A conversion method is similarly proposed for translating gas network storage capacity into equivalent electrical storage capacity. Based on these considerations
an optimized allocation model for electrical energy storage in IES is developed to minimize energy storage investment size and initial costs. Finally
case studies validate the feasibility and competitiveness of the proposed approach
demonstrating that incorporating the equivalent electrical storage characteristics of thermal and gas networks reduces storage investment costs by 4.18%.
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LI X Z, WANG W Q, WANG H Y.A novel bi-level robust game model to optimize a regionally integrated energy system with large-scale centralized renewable-energy sources in Western China[J]. Energy, 2021, 228: 120513.
A TWO-LAYER OPTIMAL ALLOCATION METHOD FOR HYBRID SHARED ENERGY STORAGE CONSIDERING THE UNCERTAINTY OF WIND POWER AND PHOTOVOLTAIC
Related Author
安源
李洋
赵亭玉
冯昊彤
张立志
李帆
孙波
田坤鹏
Related Institution
The College of Electrical and Information Engineering, Lanzhou University of Technology
School of Mechanical and Power Engineering, Jiangsu Organic Solid Waste Deep Disposal and Hydrogen Production Engineering Research Center,Jiangsu Key Laboratory of Process Enhancement and New Energy Equipment Technology, Nanjing Tech University
College of Energy and Mechanical Engineering, Shanghai University of Electric Power
School of Electrical Engineering, Xinjiang University
National Computer Integrated Manufacturing System (CIMS) Engineering Research Center, Tsinghua University