PDF(5086 KB)
Optimal Ratio of Wind-Solar-Storage Capacity for Mitigating the Power Fluctuations in Power System with High Penetration of Renewable Energy Power Generation
WEI Wei, FAN Yue, XIE Rui, BAI Jiayu, MEI Shengwei
Electric Power Construction ›› 2023, Vol. 44 ›› Issue (3) : 138-147.
PDF(5086 KB)
PDF(5086 KB)
Optimal Ratio of Wind-Solar-Storage Capacity for Mitigating the Power Fluctuations in Power System with High Penetration of Renewable Energy Power Generation
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.
renewable energy / energy storage / capacity ratio / parametric programming / fractional programming
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Under the “double carbon” target, new energy has been developed on a large scale. The development of new energy has brought an impact on various energy subjects. How to quantitatively evaluate the impact of new energy penetration on energy subjects has become a research focus. Firstly, this paper builds a new energy output model based on a set of typical scenarios applying the improved K-means algorithm. Then, the decision-making optimization model for thermal power generators, power grids, users, and energy storage operators is constructed. Secondly, this paper constructs a benefit evaluation model for multiple energy entities, which considers the penetration of new energy sources. Finally, a numerical example is analyzed, and the result of the numerical example verifies the validity of the model. |
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