RESERVE OPTIMIZATION OF POWER SYSTEM BASED ON DEPENDENT-CHANCE GOAL PROGRAMMING

Zhao Shuqiang; Zhao Pengfei; Li Zhiwei; Li Lingyi

doi:10.19912/j.0254-0096.tynxb.2023-1497

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (1) : 540-546. DOI: 10.19912/j.0254-0096.tynxb.2023-1497

RESERVE OPTIMIZATION OF POWER SYSTEM BASED ON DEPENDENT-CHANCE GOAL PROGRAMMING

Zhao Shuqiang, Zhao Pengfei, Li Zhiwei, Li Lingyi

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Abstract

In response to the uncertainty of wind and photovoltaic power generation and load, the dependent-chance programming is used to address uncertainty issues in power balance. A reserve capacity optimization model that includes source, load, and energy storage is established using dependent-chance goal programming. By transforming the uncertain model into a deterministic model, an optimization solver is used to solve the model. The improved IEEE 30 power system example results show that the proposed method can significantly reduce total operating costs, and improve the level of new energy consumption.

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reserve / new energy / power system / uncertainty analysis / goal programming / dependent-chance programming

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Zhao Shuqiang, Zhao Pengfei, Li Zhiwei, Li Lingyi. RESERVE OPTIMIZATION OF POWER SYSTEM BASED ON DEPENDENT-CHANCE GOAL PROGRAMMING[J]. Acta Energiae Solaris Sinica. 2025, 46(1): 540-546 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1497

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