Research on Low-Carbon Economic Operation Strategy of Renewable Energy-Pumped Storage Combined System

Author:

Chang Yuhong1,Liu Shizhong2,Wang Lei1,Cong Wenbo2,Zhang Zilong2ORCID,Qi Shaolong2

Affiliation:

1. Operation Supervision Center, State Grid Xinyuan Company Ltd., Beijing 100761, China

2. Operation and Maintenance Department, Liaoning Pushihe Pumped Storage Co. Ltd., Beijing 100761, China

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.

Funder

State Grid Xinyuan Holdings Pushihe Company

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improved slime mould algorithm for optimal hybrid power system scheduling;Neural Computing and Applications;2024-08-03

2. Multi-attribute decision-making method of pumped storage capacity planning considering wind power uncertainty;Journal of Cleaner Production;2024-04

3. Research on large-scale energy storage for intelligent power system;Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023);2023-10-27

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