A5037253457- Optimal Power Flow Distribution
- Power Systems and Renewable Energy
- Power Systems and Technologies
- Microgrid Control and Optimization
- Infrastructure Resilience and Vulnerability Analysis
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Smart Grid and Power Systems
- Power System Reliability and Maintenance
- Islanding Detection in Power Systems
- Electric Power System Optimization
- Power System Optimization and Stability
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Lightning and Electromagnetic Phenomena
- Technology and Security Systems
China Southern Power Grid (China)
2024-2025
Shandong University
2022
There are numerous idle electric vehicle (EV) resources in urban distribution networks, which hold significant potential for emergency power supply support following network failures. Based on this, a proactive strategy is proposed, integrating and under extreme scenarios. First, an dispatch model established EVs public parking lots vehicles (EPSVs), considering the impact of road congestion. Next, costs various analyzed, multi-source collaborative restoration proposed. This includes EPSVs,...
Fast and accurate self-healing after faults is an important way to improve the reliability of distribution networks. To speed accuracy networks, this paper proposes a fast scheme for networks using mixed integer linear programming. Firstly, method constructs centralized 5G communication network architecture, which can effectively reduce delay during process. Secondly, principle logical algebraic transformation utilized linearize switch function in fault location model, thereby achieving...
Abstract The demand response (DR) program is an effective solution to promote the low‐carbon operation of power systems with increasing penetration renewable energy sources (RESs). This paper proposes a DR for enhance both environmental friendliness and uncertainty resilience system operation. operator aims minimize system's cost carbon trading cost. To handle associated stochastic RES generation load consumption power, data‐driven method named two‐sided distributionally robust...
Integrating distributed generations (DGs) into distribution networks poses a challenge for active (ADNs) when managing resources optimal scheduling. To address this issue, paper proposes day-ahead and intra-day scheduling approach based on multi-microgrid system. It starts with CNN-LSTM-based generation load forecasting model to the impact of uncertainties power grid Then, an framework ADN microgrids is introduced using predicted information. The responsible optimizing interactions between...
Equipment capacity configuration is one of the key processes in regional integrated energy system planning. In this paper, research carried out from two aspects: optimization and dispatching between different types equipment. Multi-energy complementary characteristics cascade utilization considered, a bi-level model proposed. upper level process, fast elitist multi-objective genetic algorithm based on non-dominated sorting (NSGA-II) used to calculate optimal equipment, while mixed integer...