Tao Wang, Zhu Huang, Ruixuan Ying, 等. A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems[J]. 现代电力系统保护与控制(英文), 2024,9(5).
Tao Wang, Zhu Huang, Ruixuan Ying, et al. A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems[J]. Protection and Control of Modern Power Systems, 2024, 9(5).
Tao Wang, Zhu Huang, Ruixuan Ying, 等. A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems[J]. 现代电力系统保护与控制(英文), 2024,9(5).DOI: 10.23919/PCMP.2023.000208.
Tao Wang, Zhu Huang, Ruixuan Ying, et al. A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems[J]. Protection and Control of Modern Power Systems, 2024, 9(5).DOI: 10.23919/PCMP.2023.000208.
A low-carbon operation optimization method of ETG-RIES based on adaptive optimization spiking neural P systems
To enhance multi-energy complementarity and foster a low carbon economy of energy resources
this paper proposes an innovative low-carbon operation optimization method for electric-thermal-gas regional integrated energy systems. To bolster the low-carbon operation capabilities of such systems
a coordinated operation framework is presented that integrates carbon capture devices
power to gas equipment
combined heat and power units
and a multi-energy storage system. To address the challenge of high-dimensional constraint imbalance in the optimization process
a novel low-carbon operation optimization method is then proposed. The new method is based on an adaptive single-objective continuous optimization spiking neural P system
specifically designed for this purpose. Furthermore
simulation models of four typical schemes are established and employed to test and analyze the economy and carbon environmental pollution degree of the proposed system model
as well as the performance of the operation optimization method. Finally
simulation results show that the proposed method not only considers the economic viability of the target integrated energy system
but also significantly improves the wind power utilization and carbon reduction capabilities.