Open Access

ARTICLE

Hierarchical Optimal Scheduling Strategy for High Proportion New Energy Power Systems Considering Balanced Response to Grid Flexibility

Cuiping Li¹, Jiacheng Sun¹, Qiang Li², Qi Guo², Junhui Li^1,*, Shuo Yu², Jingbo Wang², Wenze Li²

1 Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, China
2 Power Dispatching and Control Branch, Inner Mongolia Electric Power Group Co., Ltd., Hohhot, 010020, China

* Corresponding Author: Junhui Li. Email:

Energy Engineering 2025, 122(8), 3055-3077. https://doi.org/10.32604/ee.2025.064440

Received 16 February 2025; Accepted 11 April 2025; Issue published 24 July 2025

Abstract

The penetration rate of new wind and photovoltaic energy in the power system has increased significantly, and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional grid. This paper proposes a hierarchical optimal dispatch strategy for a high proportion of new energy power systems that considers the balanced response of grid flexibility. Firstly, various flexibility resource regulation capabilities on the source-load side are analyzed, and then flexibility demand and flexibility response are matched, and flexibility demand response assessment is proposed; then, a hierarchical optimal dispatch model of the grid taking flexibility adjustment capability into account is established, and the upper model optimizes the net load curve with the objectives of minimizing the fluctuation of the net load, maximizing the benefits of energy storage and controllable loads, and optimizing the flexibility adjustment capability. The upper layer model optimizes the net load curve by minimizing net load fluctuation, maximizing energy storage and controllable load revenue, and optimizing flexibility adjustment capability. In contrast, the lower layer model optimizes the power allocation of thermal power units and regulates the lost load of wind and solar power generation by minimizing the total system operating cost. The results show that the proposed strategy improves the flexibility of the grid by 15.2%, gives full play to the regulation capability of each flexibility resource, and reduces the fluctuation of the net load by 15.6% to achieve optimal coordination between different types of flexibility resources.

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Keywords

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