The Impact of Distribution Locational Marginal Prices on Distributed Energy Resources: An Aggregated Approach

Edmunds, Calum; Bukhsh, Waqquas; Galloway, Stuart

doi:10.1109/eem.2018.8469864

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…OATS has been successfully used on a range of power systems analysis studies [13]- [17] and research projects [18]- [20]. OATS is now ready to be shared with the wider power systems research community and has been made available through GitHub [21].…”

Section: A Motivationmentioning

confidence: 99%

OATS: Optimisation and Analysis Toolbox for Power Systems

Bukhsh

Edmunds

Bell

2020

IEEE Trans. Power Syst.

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Optimisation and Analysis Toolbox for power Systems analysis (OATS) is an open-source simulation tool for steady-state analyses of power systems problems distributed under the GNU General Public License (GPLv3). It contains implementations of classical steady-state problems, e.g. load flow, optimal power flow (OPF) and unit commitment, as well as enhancements to these classical models relative to the features available in widely used open-source tools. Enhancements implemented in the current release of OATS include: a model of voltage regulating on-load tap-changing transformers; load shedding in OPF; allowing a user to build a contingency list in the security constrained OPF analysis; implementation of a distributed slack bus; and the ability to model zonal transfer limits in unit commitment. The mathematical optimisation models are written in an open-source algebraic modelling language, which offers high-level symbolic syntax for describing optimisation problems. The flexibility offered by OATS makes it an ideal tool for teaching and academic research. This paper presents novel aspects of OATS and discusses, through demonstrative examples, how OATS can be extended to new problem classes in the area of steady-state power systems analysis.

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Section: A Motivationmentioning

confidence: 99%

OATS: Optimisation and Analysis Toolbox for Power Systems

Bukhsh

Edmunds

Bell

2020

IEEE Trans. Power Syst.

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“…In this paper, the entity responsible for arranging a local energy market is referred to as the distribution system operator (DSO). Local energy market designs can be broadly divided into designs based on (i) centralised dispatch [5]- [8]; (ii) distributed dispatch [9]- [14]; (iii) unidirectional pricing [15]- [17]; and (iv) P2P energy trading [18]- [27].…”

Section: Introductionmentioning

confidence: 99%

“…An alternative approach, which decouples distribution system dispatch from small-scale resource coordination, is to calculate DLMPs based on day-ahead forecasts and send these as unidirectional price signals to prosumers [15]- [17]. This approach is based on the observation that the DLMPs are compatible with incentivising individual prosumer decisions that match the centralised dispatch solution [29].…”

Section: Introductionmentioning

confidence: 99%

Integrating P2P Energy Trading With Probabilistic Distribution Locational Marginal Pricing

Morstyn

Teytelboym

Hepburn

et al. 2020

IEEE Trans. Smart Grid

140

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This paper proposes a new local energy market design for distribution systems, which integrates peer-to-peer (P2P) energy trading and probabilistic locational marginal pricing. Distribution locational marginal pricing and P2P energy trading have each been proposed as potential alternatives to traditional retail pricing, to improve coordination between prosumers with distributed energy resources. Unidirectional locational pricing provides a scalable approach for coordinating demand, considering constraints and losses; while P2P energy trading allows prosumers to negotiate mutually beneficial bilateral energy transactions that increase the utilisation of their flexible energy resources. This paper proposes a market design combining the benefits of these two strategies. First, a new strategy for dayahead locational marginal pricing is developed, which manages the uncertainty associated with local generation, demand and upstream prices by introducing a spread between the prices charged for energy imports and paid for energy exports. Then, local P2P energy trading platforms are integrated to additionally enable direct prosumer-to-prosumer trading, with transaction fees penalising energy transfers according to probabilistic differential locational marginal prices. Case studies are presented for a multi-phase low voltage distribution network, showing how the design can create value for prosumers, and the system as a whole, by reducing the curtailment of renewable generation.

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“…13 Coordination can be improved by making prices more granular in terms of time and network location. 14 However, unidirectional pricing has two key limitations. First, good performance requires accurate forecasts and a detailed understanding of prosumer preferences and capabilities, since there is no negotiation process.…”

Section: Introductionmentioning

confidence: 99%