A Precise Distributed PV Hosting Capability Evaluation Method for MV and LV Distribution Network Considering the Coupling of Multiple Power Supply Layers
Wang Shouxiang1,2, Yin Ziyang1,2, Zhao Qianyu1,2
1. Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin 300072 China; 2. Tianjin Key Laboratory of Power System Simulation and Control Tianjin 300072 China
Abstract With the continuous advancement of the national “Carbon Peaking and Carbon Neutrality” strategy, the connection demand of the distributed photovoltaic (DPV) to the distribution network (DN) has been substantially increased. However, the disorderly access of DPV often exceeds the hosting capacity of DNs, leading to safety risks. To promote the high-quality development of DPV, the National Energy Administration pointed out in the “implementation plan for the pilot assessment of grid hosting capacity for distributed photovoltaic access and enhancement measures” released in June 2023 that it is necessary to assess the DPV's open capacity station by station, line by line, and substation by substation, according to different supply levels. However, this plan needed to provide specific calculation and assessment methods. Effectively conducting the current status assessment of DPV hosting capacity in DNs across multiple supply levels and calculating the hosting capacity are urgent problems. Therefore, this paper considers the coupling relationships between supply levels and proposes a simple and efficient method for assessing hosting capacity. Firstly, based on the power supply scope, the DN can be divided into three supply levels: supply substation areas, feeders, and substations. For the three levels, the development status of DPV in the DN is evaluated from five aspects, including DPV capacity penetration rate, DPV energy penetration rate, DPV power export rate, DPV local consumption rate, and curtailment rate. These five evaluation indicators, derived from load data and DPV generation data at different supply levels, comprehensively assess of the DPV generation status in different supply areas. Taking the energy penetration rate as an example, if it is 100%, it may seem like a balance between supply and demand. However, if the load is entirely at night, the local consumption rate of DPV power would be 0, which is not a good state for DPV development. Secondly, an assessment indicator system is constructed for DPV local consumption capability at different supply levels. This system includes source-load power balance, DPV consumption space, and capacity margin. Subsequently, considering the export power limitation of the supply levels, an assessment indicator system for DPV acceptance capability is proposed, which includes DPV acceptance space and capacity margin. After determining the DPV consumption margin and acceptance margin, the lower and upper limits of the DPV hosting potential at different supply levels can be identified. This, in turn, guides the DPV access planning for the DN. The above assessment and calculation of DPV hosting potential do not consider the constraints for the safe operation of the system. Therefore, this paper adopts a segmented bidirectional linear approximation method for acceptance capacity verification based on the calculated results of acceptance capability. When verifying the acceptance capability of a multi-supply level DN, the influence of integrating large-scale DPV into higher supply levels is extensive and significantly impacts the lower-level DN. Consequently, this paper conducts verification in descending order of supply levels. The process moves to the next lower supply level’s verification after completing the acceptance capacity verification for all supply areas within a supply level. The main contributions of this paper are as follows. (1) This paper proposes a DPV assessment indicator system for DN supply areas, which can comprehensively and intuitively reflect the DPV development status in different supply regions. (2) A two-stage method for assessing the DPV hosting capacity of supply areas is proposed based on historical operational data, providing a reference for the assessment of DPV's openable capacity. (3) A method for verifying the DPV acceptance capability is proposed, considering the coupling of multiple supply levels. Compared to traditional single-level assessment methods, the proposed method effectively avoids the DPV generation losses caused by aggressive DPV hosting capacity assessments.
Wang Shouxiang,Yin Ziyang,Zhao Qianyu. A Precise Distributed PV Hosting Capability Evaluation Method for MV and LV Distribution Network Considering the Coupling of Multiple Power Supply Layers[J]. Transactions of China Electrotechnical Society, 2025, 40(6): 1930-1944.
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