Peer-to-peer energy sharing through a two-stage aggregated battery control in a community Microgrid

By C. Long, Jianzhong Wu, Yue Zhou, Nicholas Jenkins. Applied Energy, 2018

450 citations recorded by the source corpus.

Peer-to-peer (P2P) energy sharing allows the surplus energy from distributed energy resources (DERs) to trade between prosumers in a community Microgrid. P2P energy sharing is being becoming more attractive than the conventional peer-to-grid (P2G) trading. However, intensive sensing and communication infrastructures are required either for information flows in a local market or for building a central control system. Moreover, the existing pricing mechanisms for P2P energy sharing could not ensure all the P2P participants gain economic benefits. This work proposed a two-stage aggregated control to realize P2P energy sharing in community Microgrids, where only the measurement at the point of common coupling (PCC) and one-way communication are required. This method allows individual prosumers to control their DERs via a third party entity, so called energy sharing coordinator (ESC). In the first stage, a constrained non-linear programming (CNLP) optimization with a rolling horizon was used to minimize the energy costs of the community. In the second stage, a rule based control was carried out updating the control set-points according to the real-time measurement. The benefits of P2P energy sharing were assessed from the community’s as well as individual customers’ perspective. The proposed method was applied to residential community Microgrids with photovoltaic (PV) battery systems. It was revealed that P2P energy sharing is able to reduce the energy cost of the community by 30% compared to the conventional P2G energy trading. The modified supply demand ratio based pricing mechanism ensures every individual customer be better off, and can be used as a benchmark for any P2P energy sharing model. For consumers, the electricity bill is reduced by ∼12.4%, and for prosumers, the annual income is increased by ∼£57 per premises.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7c1656084adf389319c6affb590abc046dbe89b7

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Citations in the corpus

Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids (2019, background): “Second, the authors in [15], [16], [18] pay attention on designing different marketing/pricing mechanism, but the power flow model is ignored in their optimization.”
A novel decentralized platform for peer-to-peer energy trading market with blockchain technology (2021, background): “[2] offers an interesting view for the structure and design of P2P markets, as they are classified using general criteria by auction models, multi-agent models and analytical models.”
Peer-to-Peer Trading in Electricity Networks: An Overview (2020, methodology): “Under this category, a large number of techniques have been proposed to ensure prosumer-centric delivery of outcomes including multi-class energy management [34], motivational psychology [3], bilateral contract theory [27], [54], reinforcement learning [50], [56], game theory [3], prediction-integra”
State-of-the-Art Analysis and Perspectives for Peer-to-Peer Energy Trading (2020, background): “The coordinator distributes the revenue of the whole P2P community following some predefined principles, such as by deciding prices for calculating the revenues of each peer [38].”
Peer-to-Peer Energy Trading in a Prosumer-Based Community Microgrid: A Game-Theoretic Model (2019, background): “discharge of the battery is negligible and the charge/discharge power remains constant during a time slot, the dynamics of the battery level can be modeled as follows [22]:”
Peer-to-Peer Energy Systems for Connected Communities: A Review of Recent Advances and Emerging Challenges (2020, background): “As a consequence, a large number of studies including recent articles like [121]–[123], and [124] have shown how prosumers can engage their residential storage devices in P2P sharing.”
Local flexibility markets: Literature review on concepts, models and clearing methods (2020, methodology): “Therefore, the prosumers can participate in energy generation/consumption process and provide flexible services by managing their DERs and communicating with other prosumers and the DSO [11].”