Low-Carbon Optimal Scheduling Model for Peak Shaving Resources in Multi-Energy Power Systems Considering Large-Scale Access for Electric Vehicles

Dai, Kang; Zhang, Kun; Li, Jicheng; Liu, Liang; Chen, Zhe; Sun, Peng

doi:10.3390/pr11051532

Cited by 2 publications

(1 citation statement)

References 32 publications

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“…The oxygen-rich combustion capture technology combines the advantages of pre-and postcombustion capture technologies, with little impact on the power generation process of the units and strong carbon capture ability. However, it has high requirements for the cleanliness of the fuel itself and is suitable for gas-fired units, with good development prospects (Dai et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Low-carbon optimal operation of the integrated energy system considering integrated demand response and oxygen-rich combustion capture technology

Ji,

Li,

et al. 2024

Front. Energy Res.

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In view of the current operating constraints and environmental pollution problems of traditional units, in this article, oxygen-rich combustion capture technology is introduced to transform gas-fired units, demand response technology is used on the load side, the energy conversion equipment such as power-to-gas equipment is combined to form an integrated energy system, and then, a low-carbon optimization approach of the integrated energy system is proposed. First, the system architecture is constructed, and a model with an oxygen-rich combustion unit and integrated demand response is established. Second, a power-to-gas equipment model considering reaction waste heat utilization and oxygen recovery is established. Finally, a stepped carbon trading mechanism is introduced to establish a low-carbon economic scheduling model for the integrated energy system with the goal of minimizing the operating cost of the integrated energy system. The simulation results show that the total cost and carbon emissions of the integrated energy system are reduced by 6.44% and 44.24%, respectively, under this model. At the same time, the operation adjustment capability and the oxygen production efficiency of the internal units of the system are improved.

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Section: Introductionmentioning

confidence: 99%

Low-carbon optimal operation of the integrated energy system considering integrated demand response and oxygen-rich combustion capture technology

Ji,

Li,

et al. 2024

Front. Energy Res.

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Integrated Battery and Hydrogen Energy Storage for Enhanced Grid Power Savings and Green Hydrogen Utilization

Kwon,

Lee,

Kim

et al. 2024

Applied Sciences

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This study explores the integration and optimization of battery energy storage systems (BESSs) and hydrogen energy storage systems (HESSs) within an energy management system (EMS), using Kangwon National University’s Samcheok campus as a case study. This research focuses on designing BESSs and HESSs with specific technical specifications, such as energy capacities and power ratings, and their integration into the EMS. By employing MATLAB-based simulations, this study analyzes energy dynamics, grid interactions, and load management strategies under various operational scenarios. Real-time data from the campus are utilized to examine energy consumption, renewable energy generation, grid power fluctuations, and pricing dynamics, providing key insights for system optimization. This study finds that a BESS manages energy fluctuations between 0.5 kWh and 3.7 kWh over a 24 h period, with battery power remaining close to 4 W for extended periods. Grid power fluctuates between −5 kW and 75 kW, while grid prices range from 75 to 120 USD/kWh, peaking at 111 USD/kWh. Hydrogen energy storage varies from 1 kWh to 8 kWh, with hydrogen power ranging from −40 kW to 40 kW. Load management keeps power stable at around 35 kW, and PV power integration peaks at 48 kW by the 10th h. The findings highlight that BESSs and HESSs effectively manage energy distribution and storage, improving system efficiency, reducing energy costs by approximately 15%, and enhancing grid stability by 20%. This study underscores the potential of BESSs and HESSs in stabilizing grid operations and integrating renewable energy. Future directions include advancements in storage technologies, enhanced EMS capabilities through artificial intelligence and machine learning, and the development of smart grid infrastructures. Policy recommendations stress the importance of regulatory support and stakeholder collaboration to drive innovation and scale deployment, ensuring a sustainable energy future.

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Low-Carbon Optimal Scheduling Model for Peak Shaving Resources in Multi-Energy Power Systems Considering Large-Scale Access for Electric Vehicles

Cited by 2 publications

References 32 publications

Low-carbon optimal operation of the integrated energy system considering integrated demand response and oxygen-rich combustion capture technology

Low-carbon optimal operation of the integrated energy system considering integrated demand response and oxygen-rich combustion capture technology

Integrated Battery and Hydrogen Energy Storage for Enhanced Grid Power Savings and Green Hydrogen Utilization

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