Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty

Guo, Zaoyang; Pinson, Pierre; Chen, Shibo; Yang, Qinmin; Yang, Zaiyue

doi:10.1109/tsg.2020.3019603

Cited by 117 publications

(50 citation statements)

References 34 publications

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“…This section shows the result for small-scale P2P energy trading with a flexible hybrid model. As previous works have shown, a community manager plays a meaningful role in P2P transaction (Guo et al, 2020;Moret and Pinson, 2019;Sorin et al, 2019;Sousa et al, 2019). Therefore, some results some the interactions and trading with and without a community manager.…”

Section: Resultsmentioning

confidence: 92%

“…Other authors as (Rao et al, 2020) proposed a dynamic model where at the beginning of each trading period, prosumers and consumers send their respective amounts of surplus or demand and the system evaluates the optimal dispatch model. Finally, some authors as (Guo et al, 2020;Moret and Pinson, 2019;Sorin et al, 2019;Tushar et al, 2020) presented a comprehensive review for peerto-peer and community-based market designs where import, export and generation costs are considered and different market structures are proposed: full P2P (direct interaction between consumer-prosumer), community manager (Paudel et al, 2019) (intermediary between the community and the rest of the system) and hybrid (with intermediaries and individuals) . This paper proposed a detailed framework to develop peer-to-peer energy transactions in different decentralized market structures (i.e., full P2P and community-based markets) including distributed energy resources (DER) as energy storage systems (ESS) among others.…”

Section: Introductionmentioning

confidence: 99%

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A Framework From Peer-to-Peer Electricity Trading Based on Communities Transactions

Moreno¹,

Hoyos²,

Cantillo³

2021

IJEEP

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Recently, several authors and reports inform about peer-to-peer transactions of goods and services. Usually, the electricity markets work trading energy at large scale in wholesale electricity markets. Given the integration of distributed energy resources such as PV generators, storage at small scale, demand response and electric vehicles then there are new options to trade energy at small scale by focusing in the producer-consumer relationship. This derives in alternatives based on peer-to-peer (P2P) electricity markets to trade energy employing tools as the blockchain and deployment of distributed energy resources (DERs). This paper presents a framework to trade energy at small scale with a flexible hybrid model of P2P based on transactions between communities and peers, for each period of time, each peer can change its role, the prosumer and producer peers can offer their generated energy. The consumer peers can adjust their consumption behavior based on price and quantity. Thus, the role of the community manager comes into play to associations between peers as an intermediary of the community and the grid. Therefore, a model of transactions with P2P offers was developed for different structures and sales prices. Finally, the framework to trade energy in a hybrid P2P model is evaluated in a demand curve considering a 24-h period for several cases.

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Section: Resultsmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

A Framework From Peer-to-Peer Electricity Trading Based on Communities Transactions

Moreno¹,

Hoyos²,

Cantillo³

2021

IJEEP

View full text Add to dashboard Cite

show abstract

“…However, it should be noted that the derivations are founded on three premises. First, the control loop of DS #1 should be modified so that I ̇o_DS1 1a can be generated precisely as (11). Second, no active power at fv should be generated by other DSs.…”

Section: B Principle Of S2lpsmentioning

confidence: 99%

“…However, in practice, due to the absence of third-party arbitrators in the P2P scheme, disputes between seller and buyer regarding the actual transmitted power may arise [5]. Furthermore, due to varying electricity storage statuses and power qualities of the sellers, and various demands of the buyers, distinguished electricity prices between each seller and each buyer are preferred in P2P trading scheme [11]- [13]. In this case, determining real-time P2P power flows contributes to a fair and reasonable pricing mechanism, and it could also facilitate the energy scheduling optimization in the virtual layer [14]- [15].…”

Section: Introduction mentioning

confidence: 99%

A Power Flow Tracing Method Based on Power Electronic Signaling for P2P Electricity Trading in DC Microgrids

Zhang

Hui

et al. 2022

IEEE Trans. Power Electron.

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This paper proposes a novel power flow tracing method based on power electronic signaling (PES) for peer-to-peer (P2P) electricity trading in DC microgrids. It employs a superimposed low-frequency sinusoidal carrier to trace DC power flows according to the bus port impedance characteristics of power converters. In order to support fair and accurate P2P trading, source-to-load power signaling (S2LPS) and source-to-source power verification (S2SPV) methods are presented. Through S2LPS, the P2P DC power flow from a specific distributed source (DS) to a power load (PL) is determined by detecting the carrier's active power at the PL's bus port. The same carrier is used to check the actual output power of the DS by S2SPV. By implementing S2LPS and S2SPV, the power flows of the system are traced, recorded, and verified by each DS and PL. Accurate power flow tracing is achieved on the physical layer, providing reliable data for P2P electricity trading. The principles of the proposed method are deduced in detail. Furthermore, the modifications to the control loops of DSs and PLs are depicted for implementations in DC microgrids. Finally, a 2.5kW experimental platform is built to validate the correctness and feasibility of the proposed method.

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“…To ensure power-sharing of microgrid operating costs, the microgrid gets required power from a neighbouring microgrid. That means a communication system provides the data needed to transfer power between the microgrids, utilizing the IEEE 9 bus system in reference [54].…”

Section: Access To Internet Web Pagementioning

confidence: 99%

A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources

Alhasnawi

Jasim

Rahman

et al. 2021

IJERPH

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The increasing integration of Renewable Energy Resources (RERs) in distribution networks forms the Networked Renewable Energy Resources (NRERs). The cooperative Peer-to-Peer (P2P) control architecture is able to fully exploit the resilience and flexibility of NRERs. This study proposes a multi-agent system to achieve P2P control of NRERs based Internet of Things (IoT). The control system is fully distributed and contains two control layers operated in the agent of each RER. For primary control, a droop control is adopted by each RER-agent for localized power sharing. For secondary control, a distributed diffusion algorithm is proposed for arbitrary power sharing among RERs. The proposed levels communication system is implemented to explain the data exchange between the distribution network system and the cloud server. The local communication level utilizes the Internet Protocol (IP)/Transmission Control Protocol (TCP), and Message Queuing Telemetry Transport (MQTT) is used as the protocol for the global communication level. The effectiveness of the proposed system is validated by numerical simulation with the modified IEEE 9 node test feeder. The controller proposed in this paper achieved savings of 20.65% for the system, 25.99% for photovoltaic, 35.52 for diesel generator, 24.59 for batteries, and 52.34% for power loss.

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Chance-Constrained Peer-to-Peer Joint Energy and Reserve Market Considering Renewable Generation Uncertainty

Cited by 117 publications

References 34 publications

A Framework From Peer-to-Peer Electricity Trading Based on Communities Transactions

A Framework From Peer-to-Peer Electricity Trading Based on Communities Transactions

A Power Flow Tracing Method Based on Power Electronic Signaling for P2P Electricity Trading in DC Microgrids

A Novel Internet of Energy Based Optimal Multi-Agent Control Scheme for Microgrid including Renewable Energy Resources

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