Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling

Villena, Miguel Manuel de; Fonteneau, Raphaël; Gautier, Axel; Ernst, Damien

doi:10.3390/en12071203

Cited by 10 publications

(14 citation statements)

References 35 publications

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“…The impact of regulation on the willingness of DSOs to integrate distributed generation is addressed in [29], where a method is proposed and applied to different case studies. Finally, [30] introduces a stylised set-up where two different metering systems (net-metering and net-billing) are analysed in their ability to promote the deployment of DER. In the latter work, the impact of such metering systems on the consumers in the distribution network and on the electricity prices is studied, concluding that the death spiral of the utility might be a potential issue, in particular in the net-metering case which can be considered as an incentive mechanism on its own.…”

Section: Notationmentioning

confidence: 99%

“…The simulation environment presented in our work requires a tariff design as input, which is typically set by the regulator. In previous works (such as [30]), these designs were limited to mechanical meters, therefore only volumetric and fixed fees were possible. In this paper we assume full roll out of smart meters, opening the door to new tariff designs.…”

Section: Contributionsmentioning

confidence: 99%

“…− 1 = 0) and determine R − 1 as expressed in Eq. (30). Since this initial revenue must be the same regardless of the scenario we want to test, we can break it down for different initial states representing different distributions of volume, capacity, and fixed fees (i.e.…”

Section: Simulation-based Approach Capabilitiesmentioning

confidence: 99%

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Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users

Villena

Gautier

Ernst

et al. 2021

International Journal of Electrical Power & Energy Systems

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This paper presents a simulation-based methodology for assessing the impact of employing different distribution system operator's remuneration strategies on the economic sustainability of electrical distribution systems. The proposed methodology accounts for the uncertainties posed by the integration of distributed electricity generation resources, and the roll out of smart meters. The different remuneration strategies analysed in this paper include notably new distribution tariffs based on individual peak power consumption and time-dependent rates that are contingent on the time of energy consumption, both requiring smart meters to work. The distributed electricity generation resources are modelled through an optimisation framework and an investment decision process that gradually deploys household photovoltaic installations depending on their profitability and the electricity charges, including the distribution rates. The impact of the distribution system operator's remuneration strategy is measured by an accurate modelling of the remuneration mechanism of this entity, which can adapt to various distribution tariff designs. We analyse this impact over a discrete time horizon. Our methodology is illustrated with several examples of distribution tariffs including old-based on energy consumption or on per-connection fees-as well as new-based on power consumption or time-of use fees-designs. Finally, we provide a comprehensive sensitivity analysis of the proposed simulation environment to the main parameters of the methodology.

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Section: Notationmentioning

confidence: 99%

Section: Contributionsmentioning

confidence: 99%

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Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users

Villena

Gautier

Ernst

et al. 2021

International Journal of Electrical Power & Energy Systems

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“…Net metering consists of a meter that runs forward when drawing electricity from the grid and backward when injecting electricity into the grid. 22 In this system, electricity injected into the grid is valued at the retail electricity price and excess electricity is not valued (see De Villena, Gautier, Fonteneau, & Ernst, 2018, p. 3). Taxes, levies, and tariffs are calculated on the basis of the net energy consumed.…”

Section: Part Ii—legal Framework and Disruption: Tax Treatment Of Shamentioning

confidence: 99%

Fostering Share&Charge through proper regulation

Vanrykel

Ernst

Bourgeois

2018

Competition and Regulation in Network Industries

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This article studies the emergence of Share&Charge, a German platform that organizes the sharing of charging stations for electric vehicles (EVs) and the billing for the energy transactions. Share&Charge follows a peer-to-peer fashion, enabling direct transactions between charging station owners and EV drivers. On the demand side, the platform, with its interactive map, makes it possible for EV owners to find a charging station in the most suitable location, for instance, at their place of work or where they live. On the offer side, Share&Charge enables station operators (private individuals or companies) to rent their charging stations and eventually to sell the electricity they produce. Charging tariffs within the charging station network are determined by the charging station operators themselves, but the platform provides indicative tariffs. Launched in September 2017, Share&Charge follows other initiatives, such as the French platforms Wattpop and ChargeMap, and the Swedish Elbnb. Share&Charge's network is already proven to be successful with German citizens. Share&Charge adds certain elements of value at different stages of EV utilization. First, this model allows for a co-financing of charging infrastructures by individuals and businesses in the private sector by sharing the infrastructure costs among EV drivers. Besides the purchase price of EVs, the implementation of charging infrastructures and their financing represent a significant barrier to the rise of e-mobility. Share&Charge helps remove this obstacle without adding a further burden on the governmental budget. In addition, this approach follows the ''user pays principle,'' which engages in fair and effective financing. Second, the platform increases decentralized production value and facilitates its expansion. It also helps in avoiding grid congestion and energy loss, as well as increasing flexibility within the electricity market. Third, data use enables the optimization of energy demand and supply, and the optimal determination of tariffs, although these remain facultative. Models like Share&Charge could thus positively impact energy policy by tackling several upcoming obstacles associated with the development of EVs and decentralized energy production capacities. However, new forms of network structures (decentralized networks, sharing economy) and new actors (prosumers, platforms, etc.) also raise regulatory challenges. This article presents some of the legal issues associated with the development of models

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“…Modern power distribution grids are undergoing fundamental changes to their structure, thanks to the integration of distributed generators (DGs) and energy storages (DESs) from renewable energy sources, as well as the development of suitable communication systems and smart metering devices and infrastructures, all fostered by the political support of various countries and related standard requirements [1][2][3][4][5][6][7]. The transformation of traditional passive distribution networks into active grids (with bi-directional power flows and dynamic changes in grid operating conditions) requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables.…”

Section: Introductionmentioning

confidence: 99%

Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

et al. 2019

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The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by the authors, which allows the evaluation of medium-voltage power flows starting from low-voltage load measurements. This allows the reduction of the overall costs of measurement equipment and setup. The IHMP method was tested in the real 25-bus medium-voltage (MV) radial distribution network of the Island of Ustica (Mediterranean Sea). The proposed method is useful both for finding the best measurement configuration in a new distribution network and also for implementing an incremental enhancement of an existing measurement configuration, reaching a good tradeoff between instrumentation costs and measurement uncertainty.

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Evaluating the Evolution of Distribution Networks under Different Regulatory Frameworks with Multi-Agent Modelling

Cited by 10 publications

References 35 publications

Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users

Modelling and assessing the impact of the DSO remuneration strategy on its interaction with electricity users

Fostering Share&Charge through proper regulation

Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

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