Xiaolong Jin

A multi-level service restoration strategy of distribution network considering microgrids and electric vehicles

The increasingly serious energy crisis and environmental pollution problems promote the large-scale application of microgrids (MGs) and electric vehicles (EVs). As the main carrier of MGs and EVs, distribution network is gradually presenting multi-source and active characteristics. A multi-level service restoration strategy of distribution network with MGs and EVs is proposed in this paper, which makes full use of the power supply capability from MGs and EVs. An optimal power flow (OPF) model is constructed to minimize the network loss after the service restoration. The proposed service restoration method is verified by applying a single fault on a modified IEEE distribution system with three-feeder and eighteen nodes containing MGs and EVs, which shows its feasibility and effectiveness.

A multi-level control strategy for transmission congestion relief based on the capability from active distribution network

In this paper, a multi-level control strategy for transmission congestion is proposed based on the active reconfiguration and islanding capability from active distribution network. The multi-level control strategy includes an active reconfiguration scheme pursuing the minimum tie line power between the transmission and distribution network, an active islanding scheme based on the multi-source characteristic of active distribution network and a demand response scheme. Case studies are carried out on a typical IEEE 30-bus system with a three-feeder active distribution network to verify the effectiveness of the proposed multi-level control strategy. Simulation results show that the strategy can contribute to congestion relief of transmission network to some extent, and guarantee the reliability index of the distribution network at the same time, which has a good engineering application prospect.

Optimal scheduling approach for a combined cooling, heating and power building microgrid considering virtual storage system

In this paper, a building based virtual storage system (VSS) model is developed by utilizing the heat storage characteristics of the building. Then, the VSS is integrated to the optimal scheduling model of the building microgrid (BM) for operation cost reduction. The indoor temperature of the building is adjusted within the customer temperature comfort level range to manage the charging/discharging power of the VSS. Finally, two different types of BM cases under the summer refrigeration scenario are carried out to demonstrate the effectiveness of the proposed optimal scheduling approach. Numerical studies demonstrate that the proposed optimal scheduling approach can make full use of the potential of the VSS and furthermore contribute to the operation cost reduction of the BM, while guarantee the customer temperature comfort level at the same time.