An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles

Vasirani, Matteo; Kota, Ramachandra; Cavalcante, Renato L. G.; Ossowskí, Sascha; Jennings, Nicholas R.

doi:10.1109/tsg.2013.2259270

Cited by 206 publications

(95 citation statements)

References 17 publications

(22 reference statements)

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“…Dimeas and Hatziargyriou [11] present a case study application of a practical VPP. Finally, Vasirani et al [12] consider the use of VPPs to integrate renewable generations from wind with storage from electric vehicles. Unlike this work, however, they do not consider incentives for accurate reporting.…”

Section: Introductionmentioning

confidence: 99%

Rewarding cooperative virtual power plant formation using scoring rules

Robu

Chalkiadakis

Kota

et al. 2016

Energy

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Virtual Power Plants (VPPs) are fast emerging as a viable means of integrating small and distributed energy resources (DERs), like wind and solar, into the electricity supply network (Grid). VPPs are formed via the aggregation of a large number of DERs, so that they exhibit the characteristics of a traditional generator in terms of predictability and robustness. In this work, we promote the formation of such "cooperative" VPPs (CVPPs) using techniques from the field of distributed Artificial Intelligence and game theory. In particular, we design a payment mechanism that encourages DERs to join CVPPs with increased size and visibility to the network operator. Our method is based on strictly proper scoring rules and incentivises the provision of accurate predictions of expected electricity generation from member DERs, which aids in the planning of the supply schedule at the Grid. We empirically evaluate our approach using the real-world setting of 16 commercial wind farms in the UK, and we show that it incentivises real DERs to form CVPPs, and outperforms the current state of the art payment mechanism developed for this problem.

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Section: Introductionmentioning

confidence: 99%

Rewarding cooperative virtual power plant formation using scoring rules

Robu

Chalkiadakis

Kota

et al. 2016

Energy

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“…Ref. [14] considers a VPP with wind power units and electric vehicles. In this study, wind units use electric vehicles as a storage unit to handle the uncertain nature of wind generators.…”

Section: Operation Systems Of Vppmentioning

confidence: 99%

A review on the virtual power plant: Components and operation systems

Ghavidel

Aghaei

et al. 2016

2016 IEEE International Conference on Power System Technology (POWERCON)

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Abstract--Due to the high penetration of Distributed Generations (DGs) in the network and the presently involving competition in all electrical energy markets, Virtual Power Plant (VPP) as a new concept has come into view, with the intention of dealing with the increasing number of DGs in the system and handling effectively the competition in the electricity markets. This paper reviews the VPP in terms of components and operation systems. VPP fundamentally is composed of a number of DGs including conventional dispatchable power plants and intermittent generating units along with possible flexible loads and storage units. In this paper, these components are described in an all-inclusive manner, and some of the most important ones are pointed out. In addition, the most important anticipated outcomes of the two types of VPP, Commercial VPP (CVPP) and Technical VPP (TVPP), are presented in detail. Furthermore, the important literature associated with Combined Heat and Power (CHP) based VPP, VPP components and modeling, VPP with Demand Response (DR), VPP bidding strategy, and participation of VPP in electricity markets are briefly classified and discussed in this paper.

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“…So, the VPP paradigm is not suited for a collaborative multi-actors configuration [15], where producers coalesce willingly to sell their production (without relying on any external entity), as it is their best interest to do so [7]. To overcome this limit, recent works proposed Cooperative VPP (CVPP) as a framework to aggregate small and distributed energy resources in the electricity supply network [16].…”

Section: B Related Workmentioning

confidence: 99%

A Markov Decision Model for Cooperative Virtual Power Plants Market Participation

Paniah¹,

Herpson²,

Gil-Quijano³

2015

JOCET

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Abstract-The advent of renewable energy induces new problematic electrical network configurations. Indeed, the renewable energy characteristics (intermittency, production uncertainty) combined with their inherent spatial distribution implies to aggregate them and to design specific control tools to connect them to the grid and allow them to participate to the market. Based on an industrial case study, we propose in this work to gather and coordinate numerous independent producers through a Cooperative Virtual Power Plant (CVPP). To perform an efficient market participation of such coalition of producers, we model its behavior as a Markov Decision Process. Our model takes into account renewable generation prior uncertainty, market constraints and optimizes sequentially the utilization of available resources. Experiments realized using realistic datasets show the efficacy of the proposed model and speak in favor of renewable and controllable producers' coalition in CVPP.Index Terms-Cooperative virtual power plant, partially observable markov decision processes, renewable market participation, storage management.

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An Agent-Based Approach to Virtual Power Plants of Wind Power Generators and Electric Vehicles

Cited by 206 publications

References 17 publications

Rewarding cooperative virtual power plant formation using scoring rules

Rewarding cooperative virtual power plant formation using scoring rules

A review on the virtual power plant: Components and operation systems

A Markov Decision Model for Cooperative Virtual Power Plants Market Participation

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