2020
DOI: 10.1016/j.apenergy.2019.114142
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Integrated techno-economic modeling, flexibility analysis, and business case assessment of an urban virtual power plant with multi-market co-optimization

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Cited by 98 publications
(34 citation statements)
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“…The purpose of the virtual power plant is to relieve the grid by intelligently distributing the power generated by individual units during peak load periods. In addition, VPPs participate in wholesale energy markets to ensure the flexibility that is needed in a decarbonized energy system rich in renewable energy sources [3,42,43].…”
Section: Investments In the Field Of Energy Efficiencymentioning
confidence: 99%
“…The purpose of the virtual power plant is to relieve the grid by intelligently distributing the power generated by individual units during peak load periods. In addition, VPPs participate in wholesale energy markets to ensure the flexibility that is needed in a decarbonized energy system rich in renewable energy sources [3,42,43].…”
Section: Investments In the Field Of Energy Efficiencymentioning
confidence: 99%
“…These data‐driven models, which have already been adopted by the system operator in Australia to dynamically size operating reserves (Fahiman et al, 2019), can, and will, be integrated into DRS and VPP portfolios, with the potential to effectively provide frequency support services to improve system stability. Distribution grid‐based energy trading platforms (e.g., peer to peer energy trading between consumers and prosumers) are also now emerging (AEMO‐ENA, 2019), potentially leading to ancillary service markets being implemented within these distribution grids, especially via VPP schemes (Wang et al, 2020). More systematic monitoring of consumption via smart meters and relevant data‐driven modeling can also introduce new options to provide system and local network support via “differentiated reliability” schemes from the demand side (Y. Zhou, Mancarella, & Mutale, 2016).…”
Section: Emerging Technologies and Strategies For Improving Power Grid Stabilitymentioning
confidence: 99%
“…As discussed in [20], most studies generally describe as (steady-state) flexibility region the feasible operational region (FOR) of an electrical plant or system. As discussed in [24], similar modelling can be applied to steady-state operational limitations of a component or plant in the multi-dimensional space of the multiple energy vectors involved in the analysis, for example, electrical active and reactive power, fuel (e.g., natural gas or hydrogen), and heat.…”
Section: F Visualization Of Mes Operational Envelopes: Multi-energy Flexibility Mapsmentioning
confidence: 99%
“…Therefore, some areas of the flexibility regions will no longer belong to a feasible set, and so a feasibility region that is a sub-set of the previously defined flexibility region will be defined. Furthermore, it will no longer be possible to adopt a vanilla Minkowski summation to build such feasibility regions, and specific algorithms that also involve the detailed energy flow equations will be needed (see for example [20]). Finally, as a key effect of the presence of network constraints, the overall DMES flexibility region will be segmented into different local flexibility regions due to the presence of constraints even in just one of the energy vectors.…”
Section: Impact Of Network Constraints On Multi-energy Flexibilitymentioning
confidence: 99%