Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 79, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2022.103747
Keywords
Home energy management system; Local energy community; Time of use tariff
Categories
Funding
- FEDER funds
- Portuguese funds through FCT [POCI-01-0145-FEDER-029803 (02/SAICT/2017)]
- FCT PhD scholarship [UI/BD/152279/2021]
- Fundação para a Ciência e a Tecnologia [UI/BD/152279/2021] Funding Source: FCT
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This paper presents a pool trading model for local energy communities, considering HEMS and other consumers. It proposes a transparent market clearing mechanism to incentivise active energy producers to trade their surplus energy. Through mathematical optimization, the trading market for real energy communities can be evaluated. The results show that cooperation among end-users in the local energy community market can reduce the total electricity bill.
This paper presents a pool trading model within a local energy community considering home energy management systems (HEMSs) and other consumers. A transparent mechanism for market clearing is proposed to incentivise active prosumers to trade their surplus energy within a rule-based pool market in the local energy community. A price-based demand response program (PBDRP) is considered to increase the consumers' willingness to modify their consumption. The mathematical optimization problem is a standard mixed-integer linear programming (MILP) problem to allow for rapid assessment of the trading market for real energy communities which have a considerable number of consumers. This allows for novel energy trading strategies amongst different clients in the model and for the integration of a pool energy trading model at the level of the local energy community. The objective function of the energy community is to minimize the overall bills of all participants while fulfilling their demands. Two different scenarios have been evaluated, independent and integrated operation modes, to show the impacts of coordination amongst different end-users. Results show that through cooperation, end-users in the local energy community market can reduce the total electricity bill. This is shown in a 16.63% cost reduction in the independent operation and a 21.38% reduction in the integrated case. Revenues for active consumers under coordination increased compared to independent operation of the HEMS.
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