Day-ahead micro-market design for distributed energy resources

Olivella‐Rosell, Pol; Vinals-Canal, Guillem; Sumper, Andreas; Villafáfila‐Robles, Roberto; Bremdal, Bernt A.; Ilieva, Iliana; Ottesen, Stig Ødegaard

doi:10.1109/energycon.2016.7513961

Cited by 29 publications

(21 citation statements)

References 19 publications

(16 reference statements)

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“…This design is more structured with a community manager who manages trading activities inside the community, as well as intermediator between the community and the rest of the system, as shown in Figure 3. This market design can readily be applied to microgrids [55,56] or to a group of neighbouring prosumers [57,58] that are natural constructs due to their location (i.e. being geographically close).…”

Section: Community-based Marketmentioning

confidence: 99%

Peer-to-peer and community-based markets: A comprehensive review

Sousa

Soares

Pinson

et al. 2019

Renewable and Sustainable Energy Reviews

685

348

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The advent of more proactive consumers, the so-called "prosumers", with production and storage capabilities, is empowering the consumers and bringing new opportunities and challenges to the operation of power systems in a market environment. Recently, a novel proposal for the design and operation of electricity markets has emerged: these so-called peer-to-peer (P2P) electricity markets conceptually allow the prosumers to directly share their electrical energy and investment. Such P2P markets rely on a consumercentric and bottom-up perspective by giving the opportunity to consumers to freely choose the way they are to source their electric energy. A community can also be formed by prosumers who want to collaborate, or in terms of operational energy management. This paper contributes with an overview of these new P2P markets that starts with the motivation, challenges, market designs moving to the potential future developments in this field, providing recommendations while considering a test-case.

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Section: Community-based Marketmentioning

confidence: 99%

Peer-to-peer and community-based markets: A comprehensive review

Sousa

Soares

Pinson

et al. 2019

Renewable and Sustainable Energy Reviews

685

348

View full text Add to dashboard Cite

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“…In contrast, our work integrates local optimization with bidding options in both local and WS markets. Another related proposal are day-ahead micro-markets, whose objective is to organize local resources using market-based rules to participate in aggregated form in the day-ahead WS market [15]. They assume a micro-market operator whose aim is to maximize the profits of the MG, similar to the ERM in our WS market model.…”

Section: Related Workmentioning

confidence: 99%

Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems

Lezama

Soares

Hernández-Leal

et al. 2019

IEEE Trans. Power Syst.

241

141

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Triggered by the increased fluctuations of renewable energy sources, the European Commission stated the need for integrated short-term energy markets (e.g., intraday), and recognized the facilitating role that local energy communities could play. In particular, microgrids and energy communities are expected to play a crucial part in guaranteeing the balance between generation and consumption on a local level. Local energy markets empower small players and provide a stepping stone towards fully transactive energy systems. In this paper we evaluate such a fully integrated transactive system by (1) modelling the energy resource management problem of a microgrid under uncertainty considering flexible loads and market participation (solved via two-stage stochastic programming), (2) modelling a wholesale market and a local market, and (3) coupling these elements into an integrated transactive energy simulation. Results under a realistic case study (varying prices and competitiveness of local markets) show the effectiveness of the transactive system resulting in a reduction of up to 75% of the expected costs when local markets and flexibility are considered. This illustrates how local markets can facilitate the trade of energy, thereby increasing the tolerable penetration of renewable resources and facilitating the energy transition.Index Terms-Demand response, local electricity markets, microgrids, transactive energy, smart grids, stochastic optimization. NOTATIONIndices: e energy storage systems (ESSs) i distributed generation (DG) units l, m, s, t, v loads, markets, scenarios, periods, electric vehicles (EVs) Sets and subsets: Ω DG , Ω load set of DG units/loads Ω d DG ,Ω nd DG subset of dispatchable/non-dispatchable DG units Ω curt load ,Ω inte load subset of curtailable/interruptible loads Ω shift load subset of shiftable loads Parameters: C DG generation cost of DG unit (m.u./kWh) C ESS − ,C EV − discharging cost of ESS/EV (m.u./kWh) Ccurt,C inte ,C shift load curtailment/interruption/shift cost (m.u./kWh) C imb grid imbalance cost (m.u./kWh) M P electricity market price (m.u./kWh) Ne, N i , N l number of ESS/DG/loads Nm, Ns, Nv number of markets/scenarios/EVs Pcurt max maximum load reduction of Ω curt load (kW) P DG max/min maximum/minimum power of dispatchable DGs (kW) P DG nd forecast power of non-dispatchable DGs (kW) P ESS/EV + max maximum charge rate of ESSs/EV (kW) P ESS/EV − max maximum discharge rate of ESSs/EV (kW) P ESS max/min maximum/minimum energy capacity of ESSs (kWh) P EV max/min maximum/minimum energy capacity of EVs (kWh) P EV trip forecasted energy demand for EVs' trip (kWh) P load forecasted active power of loads (kW) P offer max/min maximum/minimum energy offer in markets (kW) P shift forecasted power of Ω shift load in T shift (kW) P shift max maximum load shifted of Ω shift load in T shift (kW) T number of periods T shift shift interval of Ω shift load T start shift /T end shift earliest/latest possible period for load shift of Ω shift load η EV + /EV − charging/discharging efficiency of EV...

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“…P2P energy trading in a community based micro/mini-grid describes flexible energy trades between peers, where the excess energy from many small-scale DERs is traded among local customers [65]. Community based market design can readily be applied to micro/mini grids [66], [67] or to a group of neighbouring prosumers [67], [68] that are natural constructs due to their location (i.e. being geographically close).…”

Section: State Of Art Review On P2p Conceptmentioning

confidence: 99%

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

et al. 2019

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Energy Resources (DERs) are being integrated into the power market by customers rather than large scale energy suppliers, thereby slowly transforming the centralized, unidirectional market to a decentralized, bidirectional market and transitioning customers into prosumers. Various system architectures are used in the real field to coordinate the energy distribution in the micro/ mini-grids integrated with DERs, all of which have their strengths, weaknesses and challenges. Peer-to-peer (P2P) is an emerging architecture in the field of electrical energy trading and Distributed Generation (DG) management that can be applied in local energy markets. This paper focuses on P2P energy trading, with an in-depth discussion on its various operating algorithms, their principles, characteristics, features and scope through state of art review on P2P. Furthermore, the energy system of Nepal is used as a case study in this paper, and the micro/mini-grids of Nepal and their associated challenges, constraints and opportunities for improvement are discussed. Finally, an energy trading model is proposed to address the problems occurring in the specific case of Nepalese energy market.

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Day-ahead micro-market design for distributed energy resources

Cited by 29 publications

References 19 publications

Peer-to-peer and community-based markets: A comprehensive review

Peer-to-peer and community-based markets: A comprehensive review

Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems

Peer-to-Peer Energy Trading in Micro/Mini-Grids for Local Energy Communities: A Review and Case Study of Nepal

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