Dynamic Portfolio Optimization for Distributed Energy Resources in Virtual Power Plants

Balduin, Stephan; Brauer, Dierk; Elend, Lars; Holly, Stefanie; Korte, Jan; Kruger, Carsten; Meier, Almuth; Oest, Frauke; Sanders-Sjuts, Immo; Sauer, Torben; Schnieders, Marco; Zilke, Robert; Hinrichs, Christian S.; Sonnenschein, Michael

doi:10.1007/978-3-319-44711-7_11

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“…If the communication network utilization is known and the rescheduling is time-critical, a VPP operator could switch to a central optimization. In that case, the status of the DGs must be requested so that COHDA or other optimization methods such as Mixed Integer Programming (MIP) [32] can be executed centrally. In other communication or market situations the advantages of fully distributed MAS (e.g., robustness and privacy) might be more important, so that it could be switched back to a fully distributed system.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Communication Infrastructures for Distributed Optimization of Virtual Power Plant Schedules

et al. 2021

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With the transition towards renewable energy resources, the impact of small distributed generators (DGs) increases, leading to the need to actively stabilize distribution grids. DGs may be organized in virtual power plants (VPPs), where DGs’ schedules must be coordinated to enable the VPP to act as a single plant. One approach to solving this problem is using multi-agent systems (MAS) to offer autonomous, robust, and flexible control methods. The coordination of such systems requires communication between agents. The time required for this depends on communication characteristics, determined by the underlying communication infrastructure. In this paper, we investigate communication influences for the wireless technologies CDMA450 and LTE Advanced on the fully distributed optimization heuristic COHDA, which is used to perform optimized scheduling for a VPP. The use case under consideration is the adaptation of schedules to provide flexibility for regional congestion management for delivery on a regionalized ancillary service market (rAS). We investigate the scalability of the VPP and the effects of disturbances in the communication infrastructure. The results show that the optimization duration of COHDA can be influenced by the underlying communication infrastructure and that this optimization method is applicable to a limited extent for product delivery of rASs.

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Section: Discussionmentioning

confidence: 99%