To analyze the suitable integrated energy system in rural areas
a multi time scale optimization method for rural multi regional integrated energy systems is proposed
considering the impact of system energy sources
energy storage settings
multi station collaboration mode
and grid connection distance on the rural integrated energy system. The results show that distributed energy systems in rural areas are more suitable for adopting a single station independent operation strategy. Multi time scale scheduling can improve system scheduling accuracy. In the scenario of not being connected to the grid
the total cost of renewable energy systems is 59.36% higher than that of fossil energy systems. In the scenario of grid connection
when the grid connection distance is 20 km
the economic efficiency of renewable energy systems is better than that of systems supplemented by fossil fuels
and the consumption rate of renewable energy is 62.5% higher than that of isolated operation. When the grid connection distance is greater than 40 km
the economy of the isolated operation system of the fossil energy supplementary supply is better
with a cost reduction of more than 10.15% compared to the renewable energy grid connection system. The selection of rural distributed energy systems should consider the distance between rural areas and the power grid.
关键词
Keywords
references
SUN M X, CHEN G W, XU X B, et al.Reducing carbon footprint inequality of household consumption in rural areas: analysis from five representative provinces in China[J]. Environmental science & technology, 2021, 55(17): 11511-11520.
DU S P, WU D, DAI Z, et al.Regional collaborative planning equipped with shared energy storage under multi-time scale rolling optimisation method[J]. Energy, 2023, 277: 127680.
LIU X C, LIU X H, JIANG Y, et al.Photovoltaics and energy storage integrated flexible direct current distribution systems of buildings: definition, technology review, and application[J]. CSEE journal of power and energy systems, 2022, 9(3): 829-845.
SCHROTENBOER A H, VEENSTRA A A T, UIT HET BROEK M A J, et al. A green hydrogen energy system: optimal control strategies for integrated hydrogen storage and power generation with wind energy[J]. Renewable and sustainable energy reviews, 2022, 168: 112744.
ZHANG L H, LI S R, NIE Q Y, et al.A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading[J]. Renewable energy, 2022, 189: 744-761.
WANG Z, TAO H J, CAI W K, et al.Study on the multitime scale rolling optimization operation of a near-zero energy building energy supply system[J]. Energy conversion and management, 2022, 270: 116255.
ZHANG R C, WANG D J, YU Z X, et al.Dual-objective optimization of large-scale solar heating systems integrated with water-to-water heat pumps for improved techno-economic performance[J]. Energy and buildings, 2023, 296: 113281.
ZHANG C, XIE Y L, ZHANG H X, et al.Optimal design and performance assessment for a solar powered electricity, heating and hydrogen integrated energy system[J]. Energy, 2023, 262: 125453.
LIU Z J, FAN G Y, SUN D K, et al.A novel distributed energy system combining hybrid energy storage and a multi-objective optimization method for nearly zero-energy communities and buildings[J]. Energy, 2022, 239: 122577.
QIAO Y Y, HU F, XIONG W, et al.Multi-objective optimization of integrated energy system considering installation configuration[J]. Energy, 2023, 263: 125785.