Virtual Power Plants and Integrated Energy System: Current Status and Future Prospects

Mishra, Sweta; Bordin, Chiara; Leinakse, Madis; Wen, Fushuan; Howlett, Robert J.; Palu, Ivo

doi:10.1007/978-3-030-72322-4_73-1

Cited by 2 publications

(1 citation statement)

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“…A VPP is part of a new generation of intelligent control technologies among independent and market−driven entities [3] that collaboratively coordinates and integrates Distributed Renewable Energy (DRE) devices, energy storage devices, heterogeneous devices, and load−side response devices distributed across various regions. In recent years, researchers from around the world have conducted extensive studies on the operations and scheduling of a VPP.…”

Section: Literature Reviewmentioning

confidence: 99%

Coordinated Operation Strategy for Equitable Aggregation in Virtual Power Plant Clusters with Electric Heat Demand Response Considered

Liu,

Zhu,

Kong

et al. 2024

Energies

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To tackle the variability of distributed renewable energy (DRE) and the timing differences in load demand, this paper perfects the integrated layout of “source−load−storage” energy control in virtual power plants (VPPs). Introducing a comprehensive control approach for VPPs of varying ownerships, and encompassing load aggregators (LAs), a robust and cost−efficient operation strategy is proposed for VPP clusters. Initially, the influence of real−time electricity prices on cluster energy utilization is taken into account. Flexible shared electricity prices are formulated cluster−wide, based on the buying and selling data reported by each VPP, and are distributed equitably across the cluster. Following this, a flexible supply and demand response mechanism is established. With the goal of minimizing operational costs, this strategy responds to demand (DR) on the end−user side, instituting shifts and reductions in electricity and heat loads based on electricity and heat load forecasting data. On the supply side, optimization strategies are developed for gas turbines, residual heat boilers, and ground−source heat pumps to restrict power output, thus achieving economical and low−carbon cluster operations. Finally, the efficacy of the proposed optimization strategy is demonstrated through tackling numerous scenario comparisons. The results showcase that the proposed strategy diminishes operational costs and carbon emissions within the cluster by 11.7% and 5.29%, respectively, correlating to the unoptimized scenario.

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Section: Literature Reviewmentioning

confidence: 99%