Open Access

ARTICLE

Monthly Reduced Time-Period Scheduling of Thermal Generators and Energy Storage Considering Daily Minimum Chargeable Energy of Energy Storage

Xingxu Zhu^1,*, Shiye Wang¹, Gangui Yan¹, Junhui Li¹, Hongda Dong², Chenggang Li²

1 Key Laboratory of Modern Power System Simulation Control and Green Power New Technology of the Ministry of Education, Northeast Electric Power University, Jilin, 132012, China
2 State Grid Jilin Electric Power Co., Ltd., Electric Power Science Research Institute, Jilin, 130021, China

* Corresponding Author: Xingxu Zhu. Email:

Energy Engineering 2025, 122(4), 1469-1489. https://doi.org/10.32604/ee.2025.059956

Received 21 October 2024; Accepted 31 January 2025; Issue published 31 March 2025

Abstract

To address the excessive complexity of monthly scheduling and the impact of uncertain net load on the chargeable energy of storage, a reduced time-period monthly scheduling model for thermal generators and energy storage, incorporating daily minimum chargeable energy constraints, was developed. Firstly, considering the variations in the frequency of unit start-ups and shutdowns under different levels of net load fluctuation, a method was proposed to reduce decision time periods for unit start-up and shut-down operations. This approach, based on the characteristics of net load fluctuations, minimizes the decision variables of units, thereby simplifying the monthly scheduling model. Secondly, the relationship between energy storage charging and discharging power, net load, and the total maximum/minimum output of units was analyzed. Based on this, daily minimum chargeable energy constraints were established to ensure the energy storage system meets charging requirements under extreme net load scenarios. Finally, taking into account the operational costs of thermal generators and energy storage, load loss costs, and operational constraints, the reduced time-period monthly scheduling model was constructed. Case studies demonstrate that the proposed method effectively generates economical monthly operation plans for thermal generators and energy storage, significantly reduces model solution time, and satisfies the charging requirements of energy storage under extreme net load conditions.

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Keywords

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