Optimising operational cost of a smart energy hub, the reinforcement learning approach

摘要: The concept of smart grid SG has been introduced to improve the operation power systems. In modern structures systems, different reasons prompt researchers suggest integrated analysis multi-carrier energy Considering synergy effects couplings between carriers and utilising intelligent technologies for monitoring controlling flow may change system management in future. this paper, we propose a new solution which is entitled ‘smart hub’ SEH that models SG. solutions allow homeowners manage their consumption reduce electricity gas bill. We present residential customer by an ‘energy system’ uses reinforcement learning algorithm Monte Carlo estimation method finding near optimal solution. simulation results show using then applying customer, running costs are reduced up 40% while keeping household owner's desired comfort levels.