Weiqi Hua, Hao Xiao, Wei Pei, et al. Transactive Energy and Flexibility Provision in Multi-microgrids Using Stackelberg Game[J]. CSEE Journal of Power and Energy Systems, 2023, 9(2): 505-515.
DOI:
Weiqi Hua, Hao Xiao, Wei Pei, et al. Transactive Energy and Flexibility Provision in Multi-microgrids Using Stackelberg Game[J]. CSEE Journal of Power and Energy Systems, 2023, 9(2): 505-515.DOI: 10.17775/CSEEJPES.2021.04370.
Transactive Energy and Flexibility Provision in Multi-microgrids Using Stackelberg Game
Aggregating demand side flexibility is essential to complementing the inflexible and variable renewable energy supply in achieving low carbon energy systems. Sources of demand side flexibility
e.g.
dispatchable generators
storage
and flexible loads
can be structured in a form of microgrids and collectively provided to utility grids through transactive energy in local energy markets. This paper proposes a framework of local energy markets to manage this transactive energy and facilitate the flexibility provision. The distribution system operator aims to achieve local energy balance by scheduling the operation of multi-microgrids and determining the imbalance prices. Multiple microgrid traders aim to maximize profits for their prosumers through dispatching flexibility sources and participating in localised energy trading. The decision making and interactions between a distribution system operator and multiple microgrid traders are formulated as the Stackelberg game-theoretic problem. Case studies using the IEEE 69-bus distribution system demonstrate the effectiveness of the developed model in terms of facilitating local energy balance and reducing dependency on the utility grids.
Peer-to-Peer Energy Trading for Multi-Microgrids via Stackelberg Game and Multi-Agent Deep Reinforcement Learning
Interactive Game Based Peak Shaving Management in AC/DC Hybrid Distribution Network
Economic Dispatch in Microgrids with Photovoltaic and Load Communication Failures Using Deep Reinforcement Learning with Relative Entropy Regularized Asynchronous Update
Multi-Objective Optimization for Assessing Tradeoffs Between Energy Sharing and Ancillary Services in Local Energy Communities
Flexibility Evaluation Framework Integrating Supply and Demand for High Renewable Share Power Systems
Related Author
Pengjie Zhao
Junyong Wu
Fashun Shi
Lusu Li
Baoqing Li
Yi Wang
Hongjun Gao
Lei Zhong
Related Institution
Department of Electrical Engineering, Beijing Jiaotong University
College of Electrical Engineering, Sichuan University
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University
State Grid Ningxia Economic Research Institute
College of Information Science and Engineering, University of Northeastern