Author
Listed:
- Yuhong Chang
- Shizhong Liu
- Lei Wang
- Wenbo Cong
- Zilong Zhang
- Shaolong Qi
- Rui Wang
Abstract
Aiming at the problem of insufficient peak shaving capacity of the power system after large-scale renewable energy such as wind power and photovoltaics is connected to the grid, a new energy-pumped storage combined system low-carbon economic operation strategy is proposed. First, the energy storage characteristics of pumped storage are studied; wind power and photovoltaic output are shifted in time and space; and a new energy-pumped storage combined system model with photovoltaics, wind power, and pumped storage as the main body is established. Second, the carbon trading mechanism was introduced, and the reward and punishment ladder carbon trading cost model was established. Then, via the new energy-pumped storage combined system, the upper optimization target with the smallest investment cost and the lower optimization target with the largest system benefit are established, and a two-layer optimization model solution method based on linearly decreasing inertia weight particle swarm optimization and sequential quadratic programming algorithm is proposed. Finally, via the operating data of a pumped storage power station on an island in northern China, the new energy-pumped storage combined system low-carbon economic operation strategy was simulated and verified. The simulation results show that the low-carbon economic operation strategy of the new energy-pumped storage combined system proposed in this paper can effectively suppress load fluctuations, reduce the impact of wind and wind anti-peak regulation characteristics on the power grid, increase the utilization rate of renewable energy, and improve system economy.
Suggested Citation
Yuhong Chang & Shizhong Liu & Lei Wang & Wenbo Cong & Zilong Zhang & Shaolong Qi & Rui Wang, 2022.
"Research on Low-Carbon Economic Operation Strategy of Renewable Energy-Pumped Storage Combined System,"
Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, February.
Handle:
RePEc:hin:jnlmpe:9202625
DOI: 10.1155/2022/9202625
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