Abstract
The optimal utilization of wind power and the application of carbon capture power plants are important measures to achieve a low-carbon power system, but the high-energy consumption of carbon capture power plants and the uncertainty of wind power lead to low-carbon coordination problems during load peaks. To address these problems, firstly, the EEMD-LSTM-SVR algorithm is proposed to forecast wind power in the Belgian grid in order to tackle the uncertainty and strong volatility of wind power. Furthermore, the conventional thermal power plant is transformed into an integrated carbon capture power plant containing split-flow and liquid storage type, and the low-carbon mechanism of the two approaches is adequately discussed to give the low-carbon realization mechanism of the power system. Secondly, the mathematical model of EEMD-LSTM-SVR algorithm and the integrated low-carbon economic dispatch model are constructed. Finally, the simulation is verified in a modified IEEE-39 node system with carbon capture power plant. Compared with conventional thermal power plants, the carbon emissions of integrated carbon capture plants will be reduced by 78.248%; the abandoned wind of split carbon capture plants is reduced by 53.525%; the total cost of wind power for dispatch predicted using the EEMD-LSTM-SVR algorithm will be closer to the actual situation, with a difference of only USD 60. The results demonstrate that the dispatching strategy proposed in this paper can effectively improve the accuracy of wind power prediction and combine with the integrated carbon capture power plant to improve the system wind power absorption capacity and operational efficiency while achieving the goal of low carbon emission.
Highlights
The Paris Agreement calls for achieving net-zero emissions by the second half of this century and achieving the goal of holding the global average temperature increase to well below 2 ◦C and preferably 1.5 ◦C
This paper proposes an economic dispatching method for power systems that considers the accuracy of wind power forecasting as well as integrated carbon capture plants
The results show that the wind power prediction is more accurate and the dispatching results are closer to the real value based on the original one
Summary
The Paris Agreement calls for achieving net-zero emissions by the second half of this century and achieving the goal of holding the global average temperature increase to well below 2 ◦C and preferably 1.5 ◦C. The low-carbon characteristics and scheduling advantages of the above two tools have not been fully explored, and there is a lack of research on the operational mechanism of the two working together to achieve low carbon To this end, this paper proposes an economic dispatching method for power systems that considers the accuracy of wind power forecasting as well as integrated carbon capture plants. The combined consideration of shunt operation and storage operation allows for both shifting the impact of carbon capture energy consumption to load during peak-load times and proactive CO2 emission when the system needs it The energy consumption of the carbon capture process is delayed in the time dimension, and the expensive high-carbon thermal power plants are replaced by low-carbon carbon capture power plants and wind power plants, making the system more low-carbon and economical
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