TY  - EJOU
AU  - Hu, Jiale 
AU  - Chen, Fan 
AU  - Yang, Yue 
AU  - Wang, Man 

TI  - Optimized Energy Storage Dispatch Strategy Considering Reliability and Economy
T2  - Journal on Artificial Intelligence

PY  - 2026
VL  - 8
IS  - 1
SN  - 2579-003X

AB  - 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.
KW  - Energy storage dispatch; reliability; economy; renewable energy consumption; evaluation indicator system

DO  - 10.32604/jai.2026.075257