Open Access

ARTICLE

Optimized Energy Storage Dispatch Strategy Considering Reliability and Economy

Jiale Hu, Fan Chen^*, Yue Yang, Man Wang

School of Electric Power Engineering, School of Shenguorong, Nanjing Institute of Technology, Nanjing, 211167, China

* Corresponding Author: Fan Chen. Email:

Journal on Artificial Intelligence 2026, 8, 51-64. https://doi.org/10.32604/jai.2026.075257

Received 28 October 2025; Accepted 04 January 2026; Issue published 22 January 2026

Abstract

To enhance the operational performance of energy storage systems (ESS), this paper proposes an optimal dispatch strategy that jointly considers reliability and economic efficiency. First, we formulate a cost-minimization model that includes ESS dispatch costs, wind and photovoltaic (PV) curtailment costs, and load loss costs, while explicitly enforcing power supply reliability constraints. Next, we develop a comprehensive evaluation indicator system that integrates reliability, economic performance, renewable-energy utilization, and ESS technical indicators, thereby addressing the limitations of single-indicator assessments. Finally, a case study using real data from a region in China shows that the proposed strategy reduces the loss-of-load probability (LOLP) by 37.42%, halves the expected energy not supplied (EENS), and increases the system reliability indicator to 99.98%, with only a 0.014% increase in total cost. These results demonstrate the effectiveness and practical value of the proposed ESS dispatch optimization strategy.

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Keywords

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