Optimization of Provincial Power Source Structure Planning in Northwestern China Based on Time-Series Production Simulation

Zhou Su, Guoqing Yang (), Lixiao Yao, Qingqing Zhou and Yuhan Zhang
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Zhou Su: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Guoqing Yang: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Lixiao Yao: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Qingqing Zhou: State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China
Yuhan Zhang: State Grid Shaanxi Electric Power Co., Ltd., Xi’an 710048, China

Energies, 2024, vol. 17, issue 19, 1-14

Abstract: With the increasing of renewable energy penetration rate in power source structure, the impact of its uncertainty on the stability of the power system is becoming increasingly apparent. The power system faces dual pressures of ensuring power supply and renewable energy accommodation. The way in which to accurately plan the power structure under situations with a high renewable energy penetration rate has become an urgent issue for future power infrastructure upgrading. In this paper, a rational power structure model was proposed for a provincial power grid by iteratively optimizing variables. The synergistic relationship between renewable energy, traditional power sources, and the energy storage system was considered comprehensively and calculated through the time-series production simulation method. The as-proposed model was studied using a scenario of a provincial grid plan in the year 2035. The power balance, electricity consumption, and renewable energy utilization were systematically analyzed, providing an important theoretical basis for the optimization and upgrading of provincial power systems under the rapid growth of renewable energy.

Keywords: power source structure; time-series production simulation; energy storage system; renewable energy; power supply (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: 2024
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