Bilayer Collaborative Optimization Method of “Source-network-load-storage” Based on Multi Agent Algorithm
Author:
Affiliation:
1. Development agency, State Grid Chongqing Fengdu Electric power Supply Branch,Chongqing,China
2. State Grid Chongqing Electric Power Company Electric Power Research Institute,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030083/10030092/10030158.pdf?arnumber=10030158
Reference9 articles.
1. Collaborative Control Of Power System Based On Source Network Load Storage Management
2. A two-layer two-stage dispatching strategy for active distribution network with micro-grid considering multiple interactions
3. Optimal scheduling for micro‐grid considering EV charging–swapping–storage integrated station
4. Optimal Scheduling of Pumped Storage in Power System with Large-scale Photovoltaic Based on Carbon Emissions Trading
5. Multi-objective Optimal Scheduling for Improving Renewable Energy Consumption Considering Energy Storage Participation
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