A MILP model for optimising multi-service portfolios of distributed energy storage

By Rodrigo Moreno, Roberto Moreira, Goran Strbac. 2015

183 citations recorded by the source corpus.

Energy storage has the potential to provide multiple services to several sectors in electricity industry and thus support activities related to generation, network and system operation. Hence aggregating the value delivered by storage to these sectors is paramount for promoting its efficient deployment in the near future, which will provide the level of flexibility needed to deal with the envisaged high renewables share and the increase in peak demand driven by transport and heating electrification. In this context, we develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage by coordinating provision of a range of system services which are rewarded at different market prices. The model maximises distributed storage’s net profit while providing distribution network congestion management, energy price arbitrage and various reserve and frequency regulation services through both active and reactive power control. We demonstrate benefits associated with the coordination of these services and its impacts on commercial strategies to determine optimal multi-service portfolios in the long term. We also demonstrate the value of reactive power control to support not only distribution network congestion management, but also efficient trading of energy and balancing services which are usually treated through active power-only control. In addition, we use the model to price the service of distribution network congestion management and propose an efficient investment policy to upgrade distribution network capacity in the presence of distributed storage. Finally, several case studies under current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated with frequency control services are significantly more profitable.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/c4afd6edb043ba87e78fe1d6a6f128d9b41d599f

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In Control and Systems Engineering

Goran Strbac

In Electrical and Electronic Engineering

Citations in the corpus

Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage (2016, background): “To do so, we expanded on our previous disjunctive approach used in [8] to limit the levels of energy stored and thus be able to deliver a scheduled balancing service in real-time (which is ensured by (see Eq.”
A Bilevel Model for Participation of a Storage System in Energy and Reserve Markets (2018, methodology): “, a fixed energy deployment from committed reserve [8], a probabilistic distribution [9], robust method [10], and a set of scenarios [11].”
An economic feasibility assessment of decoupled energy storage in the UK: With liquid air energy storage as a case study (2018, background): “Commercial trials have been undertaken for the evaluation of the LAES pilot plant against a range of reserve and response services (Morgan et al., 2015).”
Business models for distributed energy resources: A review and empirical analysis (2017, background): “Modulating the power factor of distributed PV and storage systems has been shown to be effective at distribution voltage maintenance in certain cases [78,79].”