Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources

Jiawei Feng, Junyou Yang, Haixin Wang, Huichao Ji, Martin Onyeka Okoye, Jia Cui, Weichun Ge, Bo Hu and Gang Wang
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Jiawei Feng: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Junyou Yang: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Haixin Wang: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Huichao Ji: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Martin Onyeka Okoye: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Jia Cui: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Weichun Ge: State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, China
Bo Hu: State Grid Liaoning Electric Power Supply Co. Ltd., Shenyang 110004, China
Gang Wang: Power Science Research Institute of State Grid Liaoning Electric Power Co. Ltd., Shenyang 110006, China

Energies, 2020, vol. 13, issue 13, 1-19

Abstract: The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of CO 2 , SO 2 , and NO x with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%.

Keywords: flexibility evaluation indices; flexible resources; high-penetration renewable energy; interruptible load; optimal dispatch (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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