A Decentralized Market Solver for Local Energy Communities

Mureddu, Mario; Galici, Marco; Ghiani, Emilio; Pilo, Fabrizio

doi:10.1109/upec49904.2020.9209855

Cited by 5 publications

(1 citation statement)

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“…The method is applied to a community with PV and hydroelectric energy resources and shows a fair distribution of costs and revenues amongst customers. To optimize and control the resources and customer contribution, a decentralized market based on a genetic algorithm is developed to facilitate the expansion of local energy communities [16]. By optimizing the load profile of customers within a community, there is an opportunity to enhance the self-consumption of PV generation, as discussed in [17].…”

Section: Introductionmentioning

confidence: 99%

Advanced Monitoring and Control System for Virtual Power Plants for Enabling Customer Engagement and Market Participation

et al. 2021

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To integrate large-scale renewable energy into energy systems, an effective participation from private investors and active customer engagement are essential. Virtual power plants (VPPs) are a very promising approach. To realize this engagement, an efficient monitoring and control system needs to be implemented for the VPP to be flexible, scalable, secure, and cost-effective. In this paper, a realistic VPP in Western Australia is studied, comprising 67 dwellings, including a 810 kW rooftop solar photovoltaic (PV) system, a 700 kWh vanadium redox flow battery (VRFB), a heat pump hot water system (HWS), an electric vehicle (EV) charging station, and demand management mechanisms. The practical and detailed concept design of the monitoring and control system for EEBUS-enabled appliances, and also for the PV and VRFB system, with smart inverters, is proposed. In addition, a practical fog-based storage and computing system is developed to enable the VPP owner to manage the PV, VRFB, and EV charging station for maximizing the benefit to the customers and the VPP owner. Further, the proposed cloud-based applications enable customers to participate in gamified demand response programs for increasing the level of their engagement while satisfying their comfort level. All proposed systems and architecture in this paper have the capability of being implemented fully and relevant references for practical devices are given where necessary.

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Section: Introductionmentioning

confidence: 99%