Demand Side and Dispatchable Power Plants with Electric Mobility

Lukszo, Zofia; Lee, Esther H. Park

doi:10.1007/978-3-319-28077-6_11

Cited by 6 publications

(2 citation statements)

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“…The role of FCEVs in the wholesale market in systems with high wind penetration is also being explored [27]. The more recent research presents FCEVs within the Car as Power Plant (CaPP) concept, which combines renewable energy generation, conversion to hydrogen, and storage [4,7].…”

Section: Introductionmentioning

confidence: 99%

“…One of the potential flexibility resources that can be exploited by residential consumers for electric power systems is the energy stored in electric vehicles (EVs), which could be used whenever they are parked, to provide storage, demand-side response, or vehicleto-grid (V2G) [2][3][4]. This has been an area of interest for over a decade [5] due to the increasing electrification of transport systems [6].…”

Section: Introductionmentioning

confidence: 99%

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Conceptualization of Vehicle‐to‐Grid Contract Types and Their Formalization in Agent‐Based Models

2018

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Fuel cell electric vehicles (FCEVs) have the potential to be used as flexible power plants in future energy systems. To integrate FCEVs through vehicle-to-grid (V2G), agreements are needed between the FCEV owners and the actor that coordinates V2G on behalf of them, usually considered the aggregator. In this paper, we argue that, depending on the purpose of providing V2G and the goal of the system or the aggregator, different types of contracts are needed, not currently considered in the literature. We propose pricebased, volume-based, and control-based contracts. Using agent-based modeling and simulation we show how price-based contracts can be applied for selling V2G in the wholesale electricity market and how volume-based contracts can be used for balancing the local energy supply and demand in a microgrid. The models can provide a base to explore strategies in the market and to improve performance in a system highly dependent on V2G.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%