This paper studies the optimal energy management in a group of dwellings having micro fuel cell combined heat and power systems. To increase the self-sufficiency and resilience of such local community, a peer-to-peer energy trading system between dwellings is proposed in which output powers from fuel cells working under their rated powers can be sold to those already reach their rated outputs but still lack powers. The arising optimization problem from this optimal peer-to-peer energy trading system is non-convex due to the nonlinear dependence of power and heat efficiencies on fuel cell output power. Therefore, a linearization method is proposed to convexify the problem. Consequently, a distributed ADMM approach is introduced to solve the convexified optimization problem in parallel at each dwelling. A case study for a group of six dwellings based on realistic electric consumption data is then presented to demonstrate the proposed approach performance and positive impacts of the P2P energy trading system. More specifically, the proposed distributed ADMM approach is reasonably fast in convergence and is scalable well with system size. In addition, P2P electricity trading system helps operate fuel cells at a higher efficiency and increase the self-sufficiency of such dwellings.
Sustainable and Efficient Renewable-Driven Energy Trading via Neural-Enhanced Time-Adaptive Robust Nash Bargaining between Hydrogen-Enriched Gas and Active Distribution Networks
Three-Party Energy Management With Distributed Energy Resources in Smart Grid
Singapore University of Technology and Design（新加坡科技设计大学）；Zhejiang University（浙江大学）；National ICT Australia（澳大利亚国家信息与通信技术管理局）；Australian National University（澳大利亚国立大学）；Princeton University（普林斯顿大学）
Energy Management for a User Interactive Smart Community: A Stackelberg Game Approach
Singapore University of Technology and Design（新加坡科技设计大学）；State Key Lab. of Industrial Control Technology, Zhejiang University（浙江大学工业控制技术国家重点实验室）；NICTA（澳大利亚国家信息与通信技术学院）；School of Engineering and Applied Science, Princeton University（普林斯顿大学工程与应用科学学院）
Low carbon optimal scheduling of integrated energy system considering waste heat utilization under the coordinated operation of incineration power plant and P2G
