Optimal energy management and control aspects of distributed microgrid using multi-agent systems
At present, energy generation is evolving into a smart distribution system that assimilates
several green energy resources at a distributed level assuring to generate clean energy …
several green energy resources at a distributed level assuring to generate clean energy …
Large-scale integration of distributed generation into distribution networks: Study objectives, review of models and computational tools
In terms of the improvement of reliability and efficiency, integration of distributed generation
(DG) into distribution network has gained significant interest in recent years. However …
(DG) into distribution network has gained significant interest in recent years. However …
Dynamic energy conversion and management strategy for an integrated electricity and natural gas system with renewable energy: Deep reinforcement learning …
With the application of advanced information technology for the integration of electricity and
natural gas systems, formulating an excellent energy conversion and management strategy …
natural gas systems, formulating an excellent energy conversion and management strategy …
Deep reinforcement learning–based approach for optimizing energy conversion in integrated electrical and heating system with renewable energy
With advanced information technologies applied in integrated energy systems (IESs),
controlling the energy conversion has become an effective method for improving grid …
controlling the energy conversion has become an effective method for improving grid …
Multi-agent based distributed control architecture for microgrid energy management and optimization
Most energy management systems are based on a centralized controller that is difficult to
satisfy criteria such as fault tolerance and adaptability. Therefore, a new multi-agent based …
satisfy criteria such as fault tolerance and adaptability. Therefore, a new multi-agent based …
Distributed multi-agent based coordinated power management and control strategy for microgrids with distributed energy resources
In this paper, a distributed peer-to-peer multi-agent framework is proposed for managing the
power sharing in microgrids with power electronic inverter-interfaced distributed energy …
power sharing in microgrids with power electronic inverter-interfaced distributed energy …
Optimal scheduling of a wind energy dominated distribution network via a deep reinforcement learning approach
With the development of clean energy systems, large-scale renewable energy is being
connected to the traditional distribution network, which also brings new challenges to the …
connected to the traditional distribution network, which also brings new challenges to the …
Towards a 90% renewable energy future: A case study of an island in the South China Sea
B Ye, K Zhang, JJ Jiang, L Miao, J Li - Energy Conversion and …, 2017 - Elsevier
Exploiting renewable energy is a critical greenhouse gases reduction strategy for China,
especially in areas where new power plants are needed. Challenges in energy storage …
especially in areas where new power plants are needed. Challenges in energy storage …
Multi-agent systems for reactive power control in smart grids
Power system monitoring is the most fundamental prerequisite for making reasonable
decisions in a control center. In recent years, with the advent of smart grids, monitoring and …
decisions in a control center. In recent years, with the advent of smart grids, monitoring and …
A novel multi-agent decentralized win or learn fast policy hill-climbing with eligibility trace algorithm for smart generation control of interconnected complex power grids
L **, T Yu, B Yang, X Zhang - Energy Conversion and Management, 2015 - Elsevier
This paper proposes a multi-agent smart generation control scheme for the automatic
generation control coordination in interconnected complex power systems. A novel multi …
generation control coordination in interconnected complex power systems. A novel multi …