Markov Decision Process-Based Resilience Enhancement for Distribution Systems: An Approximate Dynamic Programming Approach.
Chong WangPing JuShunbo LeiZhaoyu WangFeng WuYunhe HouPublished in: IEEE Trans. Smart Grid (2020)
Keyphrases
- approximate dynamic programming
- distribution systems
- markov decision process
- policy iteration
- reinforcement learning
- average cost
- markov decision processes
- optimal policy
- state space
- power system
- dynamic programming
- infinite horizon
- linear program
- finite horizon
- smart grid
- factored mdps
- distribution network
- emergency response
- finite state
- long run
- function approximation
- reward function
- initial state
- markov decision problems
- control policy
- data mining
- learning algorithm
- step size
- decision problems
- linear programming
- optimal control
- computational intelligence
- finite number
- decision making
- action selection
- machine learning