A Hierarchical Peer-to-Peer Energy Trading in Community Microgrid Distribution Systems

Paudel, Amrit; Beng, Gooi Hoay

doi:10.1109/pesgm.2018.8586168

Cited by 47 publications

(18 citation statements)

References 12 publications

(13 reference statements)

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“…To optimize the local energy generation among consumers, some P2P energy trading models are also suggested in [82,83,84]. A P2P energy retail market model is proposed in [85] for hierarchical community microgrids to promote regional energy trading. In [86], a multi-agent system information based synergistic platform structure is proposed for community energy system planning to improve the participation of multiple proprietors.…”

Section: Retail Energy Marketsmentioning

confidence: 99%

Optimisation framework for the design and operation of open-market urban and remote community microgrids

2019

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In this article, a new business model considering multiple stakeholders is proposed to develop a framework for third-party investment and future flexible retail electricity market in community microgrids. The proposed two-stage optimisation platform generates opportunities for multiple stakeholders to invest in the design of community microgrids, comprising multiple and different distributed energy resources such as renewable generation units, battery energy storage systems, and micro diesel engines, to minimize daily operational costs of the system. To proliferate the prosumers in retail energy markets as per the Office of Gas and Electricity Markets, United Kingdom, a peer-to-peer energy trading and energy management scheme is also proposed. The optimal sizing of urban and remote community microgrids are determined in stage-1, followed by their optimal operations to minimise the daily operating cost of the community system in stage-2. An improved version of the genetic algorithm is employed to optimise decision variables in both the stages. Different cases are investigated which show the tremendous potential of revenue generation for all stakeholders while effectively optimizing techno-economic operations of microgrids.

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Section: Retail Energy Marketsmentioning

confidence: 99%

Optimisation framework for the design and operation of open-market urban and remote community microgrids

2019

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“…Under this concept, prosumers participate in a local or community energy market to both buy and sell energy to other prosumers, with the aim of maximizing their profits, within the concept of Peer-to-Peer (P2P) energy trading. Currently, many papers address the challenge of P2P trading within microgrids [11,12], but they usually deal with the algorithm for the economic trading. There is a lack of research regarding how the Distributed Energy Resources (DER) of a microgrid can follow the power setpoints derived from P2P contracts jointly with hierarchical control usually applied in islanded grid mode.…”

mentioning

confidence: 99%

Secondary Control for Storage Power Converters in Isolated Nanogrids to Allow Peer-to-Peer Power Sharing

et al. 2020

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It is usual in literature that power sharing among grid-forming sources of an isolated microgrid obeys their energy rating, instead of economic agreements between stakeholders, and circulating energy among them is usually avoided. However, these energy interchanges make strong sense and classical power sharing methods must be reformulated in the context of prosumer-based microgrids. This paper proposes a secondary control method for a prosumer-based low-voltage nanogrid that allows for energy interchange between prosumers, where storage systems, together with PV generators, are the controllable grid-forming sources. A power flow technique adapted to islanded microgrids is used for secondary control algorithm and the whole hierarchical control strategy for the prosumer converter is simulated and validated. This hierarchical control consists of three stages: tertiary control plans the energy interchange among prosumers, secondary obtains different voltage and power setpoints for each of the grid-forming sources, and, finally, primary control guarantees stable voltage and frequency values within the nanogrid with droop rules. Inner control loops for the power converter are also defined to track setpoints and assure stable performance. Simulation tests are carried out, which prove the stability of the proposed methods and the accuracy of the setpoint tracking.

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“…P2P energy trading has many advantages over centralized trading on economy, efficiency, reliability, scalability, and robustness [17,18].Generally, P2P energy trading adopts a multi-layer structure. References [19,20] divide the process of P2P energy trading into several interoperability layers: transaction, control, information, grid, etc.which decouple the original functions, such as energy trading, information exchange, and device control. Blockchain [21] has been the enabling technology for P2P energy trading in recent years.…”

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confidence: 99%

A Two-Layer Interactive Mechanism for Peer-to-Peer Energy Trading Among Virtual Power Plants

Lyu

Wang

et al. 2019

Energies

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This paper addresses decentralized energy trading among virtual power plants (VPPs) and proposes a peer-to-peer (P2P) mechanism, including two interactive layers: on the bottom layer, each VPP schedules/reschedules its internal distributed energy resources (DERs); and on the top layer, VPPs negotiate with each other on the trade price and quantity. The bottom-layer scheduling provides initial conditions for the top-layer negotiation, and the feedback of top-layer negotiation affects the bottom-layer rescheduling. The local scheduling/rescheduling of a VPP is formulated as a stochastic optimization problem, which takes into account the uncertainties of wind and photovoltaic power by using the scenarios-based method. In order to describe the capability of a seller VPP to generate more energy than the scheduled result, the concept of power generation potential is introduced and then considered during order initialization. The multidimensional willingness bidding strategy (MWBS) is modified and applied to the price bidding process of P2P negotiation. A 14-VPP case is studied by performing numerous computational experiments. The optimal scheduling model is effective and flexible to deal with VPPs with various configurations of DERs. The parallel price bidding with MWBS is adaptive to market situations and efficient due to its rapid convergence. It is revealed that VPPs can obtain higher profit by participating in P2P energy trading than from traditional centralized trading, and the proposed mechanism of two-layer “interactivity” can further increase VPPs’ benefits compared to its “forward” counterpart. The impacts of VPP configuration and VPP number are also studied. It is demonstrated that the proposed mechanism is applicable to most cases where VPPs manage some controllable DERs.

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A Hierarchical Peer-to-Peer Energy Trading in Community Microgrid Distribution Systems

Cited by 47 publications

References 12 publications

Optimisation framework for the design and operation of open-market urban and remote community microgrids

Optimisation framework for the design and operation of open-market urban and remote community microgrids

Secondary Control for Storage Power Converters in Isolated Nanogrids to Allow Peer-to-Peer Power Sharing

A Two-Layer Interactive Mechanism for Peer-to-Peer Energy Trading Among Virtual Power Plants

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