Decentralized Resource Allocation and Load Scheduling for Multicommodity Smart Energy Systems


Thanks to the expected growth in district heating systems together with the development of hybrid energy appliances like heat pumps (HPs) and micro-combined heat and power (CHP) installations, new opportunities arise for the management of multicommodity energy systems, as well as electricity, heat, and gas. The possibility to convert forms of energy using hybrid energy appliances and exploiting flexibility from local production and consumption will improve the systems' efficiency considerably. This paper extends existing work with a decentralized version of a multicommodity sensible energy management system to deal with flexibility and scalability. The system incorporates both heat and electricity, and integrates numerous sorts of versatile appliances also hybrid energy appliances. To optimally allocate the offered resources and its flexibility, the developed multiagent system (MAS) aims to perform optimal offer and demand matching (SDM) of the local resources and flexible appliances, further on flatten out the web remaining exchange over time. The proposed method is applied to a check case, where simulation results make sure that the decentralized approach ends up in a scalable answer for the management of the multicommodity good energy system (MC-SES) and performs the same as the centralized approach.

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