考虑灵活资源调节和可靠性的智能终端优化配置OA

[Objective]With the large-scale integration of flexible resources such as distributed generation(DG),energy storage systems(ESS),and soft open points(SOP)in distribution networks,the traditional"two-remote"and"three-remote"terminal configuration methods are no longer sufficient to meet the needs of automated control.There is an urgent need to introduce"four-remote"terminals for coordinated configuration.[Methods]Considering the functional characteristics of"three-remote"and"four-remote"terminals,a two-layer optimization optimal configuration method for intelligent terminals is proposed.The upper-layer planning aims to minimize the comprehensive cost,including equipment investment and maintenance costs,wind and solar curtailment costs,and power outage losses,while ensuring the global observability of the distribution network.A terminal location optimization model is constructed.The lower-layer operation,based on the upper-layer planning results,establishes a multi-objective optimization model for N-1 fault recovery scenarios,targeting the minimization of power outage losses,wind and solar curtailment costs,and voltage deviations.The proposed model is solved using a hybrid algorithm combining the slime mould algorithm(SMA)and second-order cone programming.[Results]Validation test case shows that the proposed method reduces the comprehensive cost by 69.15%and 7.11%compared to scenarios without terminal configuration and with only"three-remote"terminal configuration,respectively.It improves power supply reliability by 0.026 1%and 0.002 2%,reduces total wind and solar curtailment by 37.79%and 4.46%,and decreases voltage deviations by 53.04%and 49.43%.[Conclusions]The proposed configuration method demonstrates significant advantages in improving investment economics,power supply reliability,renewable energy integration capability,and voltage quality.It also accommodates various flexible resource scenarios,providing a theoretical basis for the coordinated configuration of"three-remote"and"four-remote"terminals in flexible distribution networks.