Lijuan Chen’s research while affiliated with Southeast University and other places

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Reference:

考虑通信服务质量的5G基站与工业园区新型电力系统协同运行

... A bilevel optimization strategy is constructed in [26] to solve the optimal island for minimizing the economic cost during failure recovery and reactivating the load with the most power. A multiperiod dynamic island partitioning strategy is proposed in [27], where an initial islanding division plan is obtained via the Dijkstra algorithm and controllable loads are integrated into the scheduling, resulting in a more flexible dynamic island partitioning model. This intentional island is selected based on using the DG output and load capacity in the microgrid to determine the initial island partition area in advance. ...

Reference:

Island Partition Strategy Based on Entropy Method-Set Pair Analysis for Microgrids

... This article tests the effectiveness of the proposed method on a modified IEEE 33 active distribution network. It is a modified version of the IEEE 33 bus radial distribution network [38], which is widely used in distribution system analysis [39][40][41]. Its baseline configuration is shown in Figure 6, with energy storage systems installed at nodes 1 and 5. ...

Reference:

A Bi-Level Optimal Operation Model for Small-Scale Active Distribution Networks Considering the Coupling Fluctuation of Spot Electricity Prices and Renewable Energy Sources

... State-of-the-art analyses of battery life dynamic estimation [6], technical and economic feasibility [7], environmental impacts [8,9], and the capacity degradation [10][11][12][13][14][15][16][17] of SLBs have been fully researched. Specifically, SLBs with a certain capacity and flexible adjustment capability have great potential to provide distributed support for battery energy storage systems (BESSs) [2,5]. ...

Reference:

Reliability–flexibility integrated optimal sizing of second‐life battery energy storage systems in distribution networks

... This index identifies the maximum loss under adverse conditions, leading to a comprehensive evaluation. Consequently, utilizing the ES index enables a deeper understanding of network risks and facilitates more informed decision-making (28)(29)(30)(31). ...

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Multi-Period AC-DC Distribution Network Expansion Planning: A Probabilistic Approach

... Owing to the development of distributed generations (DGs) and the requirement of environment protection, more DGs are integrated into distribution networks [1,2]. Despite holding the advantages of being flexible, economic, and environmentally friendly, the integration of DGs bring significant challenges to the stable operation of distribution networks, resulting in the problems of bi-directional power flow, voltage out-of-limit, and line overload [3,4]. ...

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Study of Synergetic Optimization Operation for Distribution Network Considering Multiple Reactive Power Output Modes of Photovoltaics and Different Port Numbers of Flexible Interconnection Devices

... In the centralized control architecture, the MGCC needs to receive and process global information from units of the MG and provide control signals to the lower control layers. As more DG units are connected to the system, traditional centralized control will be faced with technical challenges such as communication delay, low reliability, and complex structure [88], [89], hence it is often mainly used in small MGs. On the other hand, when distributed control is adopted, MGCC only processes limited information or no central control, which takes full advantage of the participation and autonomy of units and sparse communication networks to reduce system operating costs and improve system scalability and operational reliability [4], [89], [90]. ...

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Multi-Timescale Modeling and Dynamic Stability Analysis for Sustainable Microgrids: State-of-the-Art and Perspectives

... Similarly, photovoltaic panels and small wind turbines can be regulated by modifying their operating points, such as adjusting maximum power point tracking (MPPT) settings [34,35]. Energy storage systems, whether stationary batteries or those integrated into electric vehicles, provide additional flexibility by allowing the injection or absorption of power based on network needs [36]. Moreover, flexible buses can take advantage of deferrable and controllable loads [37,38], like dishwashers and washing machines, that can shift their operation to periods of lower demand or higher renewable generation. ...

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Advanced Distribution System Optimization: Utilizing Flexible Power Buses and Network Reconfiguration

... space-time coupling between variables, which makes the model difficult to solve. Reference [8] decouples the dynamic reactive power optimization problem in time and space and formulates the action schedule of reactive power regulation equipment through heuristic strategy and reactive power compensation error, so as to transform the dynamic reactive power optimization problem into multiple static reactive power optimization problems. Based on the day-ahead load forecasting curve, the literature [9][10][11] classifies the predicted power of each period by mathematical statistics, so as to obtain the action time of the reactive power compensation device and perform static reactive power optimization in the classified period. ...

Reference:

Reactive Power Optimization Model of Active Distribution Network with New Energy and Electric Vehicles