Reward Shaping-Based Deep Reinforcement Learning for Look-Ahead Dispatch with Dynamic Horizons

Author:

Xu Hongsheng,Xu Yungui,Li Yaping,Wang Ke

Publisher

Elsevier BV

Reference36 articles.

1. Wind Integration in Power Systems: Operational Challenges and Possible Solutions;L Xie;Proceedings of the IEEE,2011

2. Flexible Look-Ahead Dispatch Realized by Robust Optimization Considering CVaR of Wind Power;P Li;IEEE Transactions on Power Systems,2018

3. A Generic Convex Model for a Chance-Constrained Look-Ahead Economic Dispatch Problem Incorporating an Efficient Wind Power Distribution Modeling;B Khorramdel;IEEE Transactions on Power Systems,2020

4. Efficient Robust Look-Ahead Dispatch Incorporating Critical Region Preparation in Gap Time;W Zheng;IEEE Transactions on Power Systems,2021

5. An autonomous control technology based on deep reinforcement learning for optimal active power dispatch;X Han;International Journal of Electrical Power and Energy Systems,2023

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