Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion

Zhang, Heng; Zhang, Shenxi; Hu, Xiao; Cheng, Haozhong; Gu, Qingfa; Du, Mengke

doi:10.1016/j.apenergy.2021.118040

Cited by 28 publications

(9 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Chen et al [12] investigated the peer-to-peer energy trading by considering the energy conversion of multienergy microgrids. Zhang et al [13] analyzed the impacts of multi-energy systems on the peer-to-peer energy trading, and demonstrated that the multi-energy coupling could reduce the electricity import from the utility grid.…”

Section: Variables ϕ Imentioning

confidence: 99%

“…The emergence of smart contracts [25], based on Blockchain technologies, has the potential to reduce the burdens of information flows through supporting a secure, automatic, and trusted electricity trading platform. On this platform, standardized procedures of the peer-to-peer electricity trading are set out by programmable functions of Non-Cooperative Game Heating and Electricity Tushar et al [2] Coalition Formation Game Yan et al [3] Ethereum for Transaction Settlement and Market Clearing Cooperative Game Li et al [4] Cooperative Game Tushar et al [5] Blockchain Based Trading Platform Cooperative Stackelberg Game Haggi and Sun [6] Grubler et al [7] Non-Cooperative Game Nematkhah et al [8] Non-Cooperative Game Heating, Cooling, and Electricity Liu et al [9] Heating, Cooling and Electricity Jing et al [10] Non-Cooperative Game Heating, Cooling, and Electricity Langer [11] Heating and Electricity Chen et al [12] Heating and Electricity Zhang et al [13] Heating and Electricity Danzi et al [14] Blockchain Smart Contracts for Enforcing Proportional Fairness Thomas et al [15] Ethereum Smart Contracts for Negotiation of Control Rulesets Brandstätt et al [16] Smart [14], [15], planning [16],…”

Section: Variables ϕ Imentioning

confidence: 99%

See 1 more Smart Citation

Blockchain Enabled Decentralized Local Electricity Markets With Flexibility From Heating Sources

Hua

Zhou

Qadrdan

et al. 2023

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

sumer n at the scheduling time t (kW). d matched n,t Matched electricity demand of the prosumer n at the scheduling time t (kW). d ts n,t Heating power charged to the thermal energy storage of the prosumer n at the scheduling time t (kW). d unmatched n,t Unmatched electricity demand of the prosumer n at the scheduling time t (kW). id i Address of the account of the seller i. id j Address of the account of the buyer j. p i Amount of the supplied electricity of the seller i (kW). p j Amount of the electricity demand of the buyer j (kW). p p2p n,m,t power exchange between the prosumer n and prosumer m at the scheduling time t (kW). p matched n,t Matched electricity supply of the prosumer n at the scheduling time t (kW). p p2r n,t Power export from the prosumer n to a retailer at the scheduling time t (kW). p r2p n,t Power import from a retailer to the prosumer n at the scheduling time t (kW). p unmatched n,t Unmatched electricity supply of the prosumer n at the scheduling time t (kW). q hp n,t Heating power supplied by the heat pump of the prosumer n at the scheduling time t (kW). q ts n,t Heating power discharged from the thermal energy storage of the prosumer n at the scheduling time t (kW). s ts n,t Stored thermal energy of the prosumer n at the scheduling time t (kWh). t i Start time of the supplied electricity of the seller i. t j Start time of the electricity demand of the buyer j.

show abstract

Section: Variables ϕ Imentioning

confidence: 99%

Section: Variables ϕ Imentioning

confidence: 99%

Blockchain Enabled Decentralized Local Electricity Markets With Flexibility From Heating Sources

Hua

Zhou

Qadrdan

et al. 2023

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

show abstract

“…Amin et al [26] developed the customer's energy-related objectives in the P2P energy trading mechanism; the proposed framework has motivated the customers to participate in the P2P energy trading market. Zang et al [27] proposed the P2P energy trading method between households considering the multi-energy coupling of heating, electrical power, cooling energy and other sources, such as Micro CHP and PV. Despite the significant innovations, the main drawback of the presented method is that the proposed method is employed in the neighbourhood buildings, and it is not considered the constraints of the network.…”

Section: Overview Of Literaturementioning

confidence: 99%

“…Zang et al. [27] proposed the P2P energy trading method between households considering the multi‐energy coupling of heating, electrical power, cooling energy and other sources, such as Micro CHP and PV. Despite the significant innovations, the main drawback of the presented method is that the proposed method is employed in the neighbourhood buildings, and it is not considered the constraints of the network.…”

Section: Introductionmentioning

confidence: 99%

Integrated operation of gas and power system through the P2P market mechanism

Feili

Ameli

2023

IET Smart Grid

View full text Add to dashboard Cite

Peer-to-peer (P2P) energy trading is a new technology for integrating distributed energy resources (DERs) into the power system. A P2P market allows direct energy trading between end-users, enables local power and energy equilibrium and supports power grid operations. As a common DER, gas-fired power plants are employed to deal with the intermittency of the power system due to their flexible characteristics. Therefore, the intermittency in the power system transmits to the gas system through the gas-fired power plants, which makes the operation of these systems even more interdependent and cost-effective. This paper proposes a market-based two-stage framework for the integrated operation of power and natural gas grids taking into account demand response and both network constraints. In the first stage (scheduling stage), the MINLP-based optimisation approach is used for the optimal scheduling of two energy carriers considering AC power flow and gas hydraulic calculations for the next 24 h. Then, in the second stage, the continuous double auction (CDA)-based P2P energy trading approach is used for enabling customers to trade energy with each other. To simulate human trader behaviour and maximises the benefits of customers, the authors considered the optimum bidding strategy through the zero intelligent plus trader model. The simulations executed on a 33-bus power distribution grid and a 33-node gas network indicate that the proposed framework can dramatically reduce the total operational cost and improve the performance of both networks. Using only the MINLP optimisation problem, first stage, the total operational cost of both networks is reduced by 15.58%, while the voltage profile at the end of the power grid is improved by about 7%. In the next stage, the total operating cost of both networks is further decreased by 29.31% via implementing the P2P energy trading mechanism. K E Y W O R D Sdemand side management, energy storage, microgrid, nanogrid, and peer-to-peer energy trading, power marketsThis is an open access article under the terms of the Creative Commons Attribution-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.

show abstract

“…For example, [32] employed a hierarchical incentive mechanism to encourage peers to follow the smart contracts. In [33], the authors used parametric optimization in cooperative multi-microgrids to consider the willingness of other peers for trading in the P2P market. In [34], the authors presented a competitive decentralized P2P market in the presence of prosumers and retailers.…”

Section: Introductionmentioning

confidence: 99%

Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm

Aminlou

Mohammadi‐Ivatloo

Zare

et al. 2022

IET Renewable Power Gen

View full text Add to dashboard Cite

Distributed energy resources are being progressively deployed by industry. The penetration of distributed generation in low voltage (LV) networks can position traditional consumers as market participants. With the improvements in communication networks and the introduction of new energy markets, these prosumers are incentivized to sell their excess production to other industries by participating in peer‐to‐peer (P2P) energy markets. This market paves the way for developing new technologies such as a shared battery energy storage system (SBESS). In this paper, a central storage unit rents its capacity for the prosumers to reduce the overall peak‐load of the microgrid. Each user requests the required SBESS capacity and calculates the best charging and discharging times to reduce their cost. To this end, this paper organized a P2P energy trading paradigm with the presence of SBESS. The optimization problem was simulated and solved using the alternating direction method of multipliers (ADMM) algorithm. Results demonstrate how combining features of P2P energy trading and SBESS can save up to 29% for the industrial town.

show abstract

Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion

Cited by 28 publications

References 29 publications

Blockchain Enabled Decentralized Local Electricity Markets With Flexibility From Heating Sources

Blockchain Enabled Decentralized Local Electricity Markets With Flexibility From Heating Sources

Integrated operation of gas and power system through the P2P market mechanism

Peer‐to‐peer decentralized energy trading in industrial town considering central shared energy storage using alternating direction method of multipliers algorithm

Contact Info

Product

Resources

About