Reasonable operating system building and hierarchical partitioning coordinated control method can achieve the function of initiative decision-making
management and control in the operation process of active distribution network
and ensure the reliability of grid power supply and economy of running. A three-layer control system framework based on multiple time scales in an active distribution network is built; a hierarchical partition coordinated control method is proposed for goal decision-making ahead of schedule
global centralized optimization
and regional decentralized autonomy. Each autonomous region with active distribution network accepts a planned target of power given by global optimization for real-time calibration. The disturbance critical switching index is proposed to quantify the disturbance in the operation of the system
acting as the basis for the control of the active switch. Using this as the basis
with the feeder power control error(FCE)as the control objective
the power adjustment strategy in short time scale is developed to track the global optimization objective given by the higher level
and then achieve non-differential control. Simulation results show the effectiveness of the proposed strategy in different scenarios.
Multi-agent Game Collaborative Optimization Strategy for Active Distribution Networks Based on Federated Reinforcement Learning
Coordinated Optimal Scheduling of Transmission and Distribution Networks Based on Multiple Agents and Improved Target Cascading Method
Cooperative Optimal Decision-making for Active Distribution Network with Shared Energy Storage Leased by Prosumers
Related Author
YOU Yi
YANG Wenwei
PENG Xiangang
QUAN Huan
CHU Zhuozhuo
WANG Xinghua
ZHAO Zhuoli
JI Xingquan
Related Institution
Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education,School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University
College of Automation, Guangdong University of Technology
School of Electric Power Engineering, South China University of Technology
College of Electrical Engineering and Automation, Shandong University of Science and Technology
Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University)