研究目的
Investigating the impact of large-scale distributed photovoltaic (PV) integration on distribution networks and proposing a planning method based on risk assessment to optimize the comprehensive benefits.
研究成果
The proposed large-scale PV planning method based on risk assessment effectively considers the penalty costs of risks to reduce unnecessary investment. The simulation results demonstrate the method's effectiveness in optimizing the comprehensive benefits of PV integration into distribution networks.
研究不足
The study focuses on the IEEE34 node distribution network system and may not cover all possible scenarios in real-world distribution networks. The impact of other renewable energy sources or external factors on the distribution network is not considered.
1：Experimental Design and Method Selection:
The study uses cluster division to group large-scale distributed PVs and performs a risk assessment on the distribution network, considering the correlation between PVs and loads. The genetic algorithm is employed to solve the planning model.
2：Sample Selection and Data Sources:
The study is based on the IEEE34 node distribution network system, with simulations performed on the MATLAB platform.
3：List of Experimental Equipment and Materials:
MATLAB platform for simulation.
4：Experimental Procedures and Operational Workflow:
The study analyzes the effects of load fluctuations, PV quantity, capacity, and location on the operational risk of the distribution network. A planning model is established considering the penalty cost of node voltage over-limit and branch power flow over-limit risk.
5：Data Analysis Methods:
The study uses the genetic algorithm for solving the planning model and analyzes simulation results to demonstrate the effectiveness of the proposed method.
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