Yuan Lyuzerui, Yu Lei, Li Chunlin, et al. Assessment methods and enhancement measures for the carrying capacity of distribution network with high PV penetration[J]. 2026, 63(10).
Yuan Lyuzerui, Yu Lei, Li Chunlin, et al. Assessment methods and enhancement measures for the carrying capacity of distribution network with high PV penetration[J]. 2026, 63(10).DOI:
以光伏为主体的配电网系统正逐渐成为电网发展的重要方向,但其渗透率的不断提升对配电网的稳定运行带来了电压越限、配电网网损增加、反向功率流、电能质量降低等影响。为此,文中提出一种考虑高比例光伏渗透下的承载能力评估方法。建立高比例光伏接入配电网的承载能力模型和配电网承载能力评价指标体系,并基于二阶锥松弛求解承载能力模型;为评估高比例光伏接入对配电网承载能力的影响,提出改进的优序-CRITIC(criteria importance through intercriteria correlation)组合赋权评估方法进行综合评估。为了探究不同承载能力提升措施的提升效果,基于所提承载能力评估方法对不同的提升方案进行对比分析。以IEEE 33节点配电网系统作为算例,与现有的承载能力评估方法对比,验证所提承载能力评估方法的全面性和有效性,提升措施能够有效地提高配电网承载能力。
Abstract
A distribution network system dominated by photovoltaic (PV) power is gradually becoming an important direction for power grid development. However
the continuous increase in its penetration rate poses challenges to the stable operation of the distribution network
including voltage violations
increased distribution network losses
reverse power flow
and reduced power quality. To this end
this paper proposes a carrying capacity assessment method considering high PV penetration. A carrying capacity model for distribution network with high PV penetration and an evaluation index system for carrying capacity are established
and the carrying capacity model is solved based on second-order cone relaxation. To assess the impact of high PV penetration on the hosting capacity of the distribution network
an improved priority-CRITIC(criteria importance through intercriteria correlation)combined weighting method is used for comprehensive evaluation. To explore the effectiveness of different carrying capacity enhancement measures
the proposed carrying capacity assessment method is applied to compare and analyze various enhancement schemes. The IEEE 33-node distribution network system is used as a case study. By comparing the proposed method with existing carrying capacity evaluation methods
the comprehensiveness and effectiveness of the proposed approach are validated
and the enhancement measures are shown to effectively improve the carrying capacity of the distribution network.