研究目的
To manage the growing penetration level of photovoltaic (PV) and electric vehicles (EV) which increase the operational risk of the urban power system and to mitigate the unbalanced load distribution at time-spatial scale that impacts the hosting capacity of the PVs and causes severe transmission congestion.
研究成果
Reconfiguring HVDN topological structures has huge benefits for improving system security level and enhancing PV hosting capacity. The proposed NCRI indicator properly reflects the system security risk and PV accommodation which provide a helpful decision basis for the operators.
研究不足
The existing researches fail to count the impacts of RES and the probabilistic mobility of EV charging loads thus would cause frequent transfer actions.
1：Experimental Design and Method Selection:
A bi-level optimization model was proposed considering the reconfigurable capability of the high voltage distribution network (HVDN). In the upper level, the optimal topological structure of HVDN is calculated aiming at minimizing the total operational cost. In the lower level, the maximum hosting capacity of PVs is achieved by a second-order cone programming model.
2：Sample Selection and Data Sources:
The proposed method was verified by an urban power system in China.
3：List of Experimental Equipment and Materials:
Matlab 2016a was used as the simulation platform.
4：Experimental Procedures and Operational Workflow:
The particle swarm optimization algorithm (PSO) is used to find the optimal topological state and the second-order cone programming model is used to calculate the optimal PV curtailment amount.
5：Data Analysis Methods:
The network congestion risk index (NCRI) is defined to evaluate the current operational risk of the urban transmission system.
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