TY  - EJOU
AU  - Xu, Jun 
AU  - Wu, Bingxin 
AU  - Liu, Hong 
AU  - Chen, Yuxi 
AU  - Xu, Zhengyang 
AU  - Jiao, Yanli 

TI  - Dual-Scenario Coordinated Optimization of PV Allocation and ESS Dispatch in Distribution Networks under Normal and Fault Conditions
T2  - Energy Engineering

PY  - 
VL  - 
IS  - 
SN  - 1546-0118

AB  - With the widespread integration of distributed photovoltaics (PV) and energy storage systems (ESS) in distribution networks, achieving maximum operational revenue across all scenarios through optimal resource configuration and dispatch has become a core issue in economic network operation. Traditional configuration models generally focus solely on normal operating conditions, often neglecting PV curtailment losses and the interruption of ESS energy time-shifting benefits caused by network constraints during line faults. To address this, this paper proposes an optimal PV configuration and ESS coordinated dispatch model for distribution networks, explicitly considering both normal operation and typical fault scenarios. First, based on the topological characteristics of meshed distribution networks, a mixed-integer programming model is formulated with the objective of maximizing comprehensive economic benefits across all scenarios. In the normal operation scenario, the model aims to maximize PV grid-connection revenue and utilize the ESS to achieve energy time-shifting revenues based on peak-valley price differentials. In typical line fault scenarios, through dynamic network reconfiguration and flexible ESS charge/discharge support, the model focuses on maintaining the economic operation of the ESS during the fault period and minimizing PV curtailment losses caused by restricted grid channels. Second, the constraints strictly account for the temporal coupling of ESS State of Charge (SOC), multi-state intervals of PV output, as well as AC power flow and node voltage security limits before and after faults. Finally, the proposed model is verified using the CPLEX solver based on a 10-node distribution network case study. Simulation results demonstrate that the proposed dual-scenario optimization model can effectively balance daily economic profits while significantly mitigating the risk of revenue shrinkage during unexpected faults. The results show that the total profit increases by 13.7%. By flexibly dispatching ESS and reconfiguring network topology, the strategy increases the photovoltaic hosting capacity from 13.92 MW to 13.95 MW, substantially enhances the comprehensive PV utilization rate and the overall life-cycle economic return of the system.
KW  - Distribution network; optimal PV allocation; fault conditions; PV curtailment

DO  - 10.32604/ee.2026.089024