• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (3): 138-147.doi: 10.12204/j.issn.1000-7229.2023.03.014

• New Energy Power Generation • Previous Articles     Next Articles

Optimal Ratio of Wind-Solar-Storage Capacity for Mitigating the Power Fluctuations in Power System with High Penetration of Renewable Energy Power Generation

WEI Wei1(), FAN Yue2(), XIE Rui1(), BAI Jiayu1(), MEI Shengwei1()   

  1. 1. State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment(Department of Electrical Engineering, Tsinghua University), Beijing 100084, China
    2. Northwest Branch of State Grid Corporation of China, Xi’an 710048, China
  • Received:2022-06-12 Online:2023-03-01 Published:2023-03-02
  • Supported by:
    National Key Research and Development Program of China(2021YFB2400701);State Grid Corporation of China Science and Technology Project(SGNW0000FGJS2200126)


The development of renewable energy is a fundamental measure to resolve environmental pollution and energy crisis, and achieve the carbon peaking and carbon neutrality goals. However, the inherent volatility and fluctuation of renewable energy output bring unprecedented challenges to the planning and operation of the power grid. This paper studies the optimal ratio of renewable energy and energy storage, aiming to minimize power fluctuation. According to the complementary nature of wind and solar resources, the mode of optimal ratio of wind and solar power that leads to minimal power fluctuation is established and is further transformed into linear programming. The optimization problem of energy storage capacity aiming to smooth the renewable energy output is formulated as a multi-parameter linear program, where storage charging power and energy capacities are parameters. The power fluctuation index is expressed as an analytical function in storage parameters, which is convex and piecewise linear. On the basis of the fluctuation index function, the optimal storage capacities can be determined according to the costs. The proposed method provides an illustrative tool and more abundant information for policy and decision-making.

Key words: renewable energy, energy storage, capacity ratio, parametric programming, fractional programming

CLC Number: