☆ 4.7 Article

Day-ahead optimal peer-to-peer energy trading strategy for multi-microgrids based on Nash bargaining game with data-driven chance constraints

SUSTAINABLE ENERGY GRIDS & NETWORKS (2023)

Related references

Note: Only part of the references are listed.

Article Computer Science, Information Systems

A Robust Decentralized Peer-to-Peer Energy Trading in Community of Flexible Microgrids

Amin Mansour Saatloo et al.

Summary: This article proposes a novel platform for MG prosumers to actively trade energy with each other directly. P2P energy trading is introduced to achieve a win-win outcome and facilitate energy balance locally. The numerical results show that prosumers can actively trade with each other and achieve economic benefits.

IEEE SYSTEMS JOURNAL (2023)

Add to Collection

Article Engineering, Electrical & Electronic

Peer-to-Peer Transactive Energy Trading of a Reconfigurable Multi-Energy Network

Yunyang Zou et al.

Summary: This paper proposes a bi-level peer-to-peer (P2P) multi-energy trading framework for a coupled distribution network (DN) and district heating network (DHN). At the lower level, individual agents optimize local energy scheduling and P2P trading strategies based on the modified Nash bargaining theory. At the upper level, network operators minimize power losses and enforce necessary trading adjustments. The effectiveness of the proposed framework is demonstrated using a multi-energy network.

IEEE TRANSACTIONS ON SMART GRID (2023)

Add to Collection

Article Thermodynamics

Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization

Bin Zhang et al.

Summary: This study proposes a distributed control scheme for the bottom-up architecture of the Energy Internet, utilizing a model-free/data-driven multiagent deep reinforcement learning method. An attention mechanism is added to the centralized critic to accelerate learning speed, and model predictive control is used to determine optimal power dispatching between energy routers and the main grid.

ENERGY CONVERSION AND MANAGEMENT (2023)

Add to Collection

Article Engineering, Electrical & Electronic

A cooperative Stackelberg game based energy management considering price discrimination and risk assessment

Guanguan Li et al.

Summary: This paper presents a bi-level energy management framework for coordinating peer-to-peer energy trading in the retail market. The framework utilizes a cooperative Stackelberg game model and stochastic programming with CVaR to address uncertainty, with a two-phase approach to solve the nonlinear bi-level programming model. The proposed model is demonstrated to be effective through numerical cases.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Add to Collection

Article Thermodynamics

Optimal energy management for multi-energy multi-microgrid networks considering carbon emission limitations

Xiaoqing Zhong et al.

Summary: Multi-energy multi-microgrid (MMG) networks are an important form of energy systems that aim to integrate energy resources and improve energy utilization efficiency. This paper proposes an optimal energy management strategy for minimizing the operation cost of an MMG network, considering operation constraints and carbon emissions. The strategy consists of a day-ahead phase and an intra-day phase to address the uncertainty effects of renewable energy sources (RESs) generation and load demands.

ENERGY (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation

Ayse Kubra Erenoglu et al.

Summary: This study proposes a scenario-based energy management system model, which takes into account the stochastic nature of wind and photovoltaic sources through mixed-integer linear programming, and utilizes direct load control and demand response programs to achieve energy savings while ensuring comfort and operational constraints. Additionally, by incorporating a bi-directional power flow energy storage system and using electric vehicles as flexible loads, the efficiency of microgrids is improved.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Peer-to-peer multi-energy distributed trading for interconnected microgrids: A general Nash bargaining approach

Shuai Xuanyue et al.

Summary: This paper proposes a distributed coordinated operation model for multi-microgrids, which can reduce the operating cost of microgrids and maintain the enthusiasm of each microgrid for cooperation, taking into account factors such as electric and heat demand response, multi-energy interaction, and uncertainties.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Add to Collection

Article Thermodynamics

Energy Management Model for a Standalone Hybrid Microgrid through a Particle Swarm Optimization and Artificial Neural Networks Approach

Jesus Aguila-Leon et al.

Summary: This study proposes a methodology to incorporate optimized artificial networks into a self-adaptable energy management system in order to improve microgrids performance. Through simulated tests and correlation analysis, the results show that the proposed model achieves better accuracy in energy parameter estimation compared to related works.

ENERGY CONVERSION AND MANAGEMENT (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Stochastic optimization in multi-energy hub system operation considering solar energy resource and demand response

V. V. Thang et al.

Summary: This paper proposes a stochastic scheduling framework for multi-energy hub systems to optimize the operation cost and reduce CO2 emissions. By modeling uncertainties and employing clustering and scenario reduction techniques, the computational burden is reduced and the system operation is optimized.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)

Add to Collection

Article Energy & Fuels

A two-stage stochastic Stackelberg model for microgrid operation with chance constraints for renewable energy generation uncertainty

Yolanda Matamala et al.

Summary: This paper proposes a novel Stackelberg stochastic model to address the challenges posed by the variability of renewable sources and uncertainty in electricity prices. The model evaluates the risk levels of microgrids in different scenarios and provides insights for the adaptation of smart grids. Results demonstrate the effectiveness of the proposed method.

APPLIED ENERGY (2021)

Add to Collection

Article Thermodynamics

Peer-to-peer electricity trading as an enabler of increased PV and EV ownership

Timothy D. Hutty et al.

Summary: The study shows that peer-to-peer energy trading can promote energy sharing among households and lead to financial savings; combining P2P with V2H can bring greater advantages; the typical household can save around 100 pounds per year.

ENERGY CONVERSION AND MANAGEMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Data-Driven Distributionally Robust Co-Optimization of P2P Energy Trading and Network Operation for Interconnected Microgrids

Jiayong Li et al.

Summary: This paper presents a data-driven distributionally robust co-optimization model for P2P energy trading and network operation of MGs. The model considers various operational constraints and uncertainties from load consumption and RG, utilizing emerging technologies to address them effectively.

IEEE TRANSACTIONS ON SMART GRID (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Price-Maker Bidding and Offering Strategies for Networked Microgrids in Day-Ahead Electricity Markets

Bo Hu et al.

Summary: This paper introduces a price-maker bidding and offering model for networked microgrids in a day-ahead electricity market, aiming to maximize net revenue by coordinating individual microgrids. A hybrid optimization framework is used to account for uncertainties, with numerical simulations demonstrating the model's superiority over existing approaches.

IEEE TRANSACTIONS ON SMART GRID (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Distribution Network-Constrained Optimization of Peer-to-Peer Transactive Energy Trading Among Multi-Microgrids

Mingyu Yan et al.

Summary: This article introduces a two-level network-constrained peer-to-peer (P2P) transactive energy model for multi-microgrids, utilizing a MLMF Stackelberg game approach and distributed algorithms to ensure the effectiveness of the proposed solution. The DSO reconfigures the distribution network based on energy trading results and requests adjustments for network security, formulated in a MISOCP model for solution accuracy. Numerical results on various test systems demonstrate the effectiveness of the proposed transactive model and its solution technique.

IEEE TRANSACTIONS ON SMART GRID (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Bi-Level Robust Optimization for Distribution System With Multiple Microgrids Considering Uncertainty Distribution Locational Marginal Price

Lingling Wang et al.

Summary: This article proposes a new electricity market clearing mechanism to coordinate distribution systems and microgrids, utilizing locational marginal prices. A bi-level coordinated robust economic dispatch model is formulated, with an upper level for distribution systems and a lower level for microgrids, using a column and constraint generation algorithm for solution. Numerical results confirm the effectiveness of the proposed model and method.

IEEE TRANSACTIONS ON SMART GRID (2021)

Add to Collection

Article Energy & Fuels

Operational flexibility of active distribution networks with the potential from data centers

Sirui Chen et al.

Summary: With the rapid development of information technology, the scale and quantity of internet data centers (IDCs) are expanding, leading to a significant impact on the electricity load and operational flexibility of active distribution networks (ADNs). Flexible dispatch strategies have been proposed to improve energy efficiency of IDCs and reduce voltage violation and feeder load imbalance in ADNs, providing high-quality power supply for IDCs.

APPLIED ENERGY (2021)

Add to Collection

Article Energy & Fuels

An optimal scheduling strategy for peer-to-peer trading in interconnected microgrids based on RO and Nash bargaining

Chun Wei et al.

Summary: This paper proposes an optimal scheduling strategy for interconnected microgrids, aiming to minimize operation costs and generate profits through peer-to-peer energy trading. The use of robust optimization and Nash bargaining mechanism ensures fair benefit sharing, while the alternating direction method of multipliers protects the privacy of individual microgrids. Simulation results demonstrate the effectiveness and fairness of the proposed method.

APPLIED ENERGY (2021)

Add to Collection

Article Thermodynamics

Optimal management of energy sharing in a community of buildings using a model predictive control

Behrang Vand et al.

Summary: This study examines the benefits of sharing on-site generated electricity within a community of buildings through peer-to-peer energy exchange, in order to minimize electricity costs. The novel model predictive control system efficiently reduces energy costs in a community with various energy sources, conversions and storage. By considering buildings in a community as a single entity, the annual electricity energy cost for single buildings can be reduced by 3.0% to 87.9%, and by 5.4% to 7.7% on the community level.

ENERGY CONVERSION AND MANAGEMENT (2021)

Add to Collection

Article Thermodynamics

Privacy-preserving distributed optimal scheduling of regional integrated energy system considering different heating modes of buildings

Houhe Chen et al.

Summary: This paper discusses the optimized scheduling model of regional integrated electricity and district heating systems, proposes a distributed solution based on the ADMM algorithm, and verifies the effectiveness of the method through case studies.

ENERGY CONVERSION AND MANAGEMENT (2021)

Add to Collection

Article Engineering, Electrical & Electronic

Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP

Xiaofei Wang et al.

Summary: This paper introduces EV and HVAC aggregator models and establishes a three-level bidding and dispatching framework. Case studies reveal three main technical reasons for payment reduction due to demand flexibility.

IEEE TRANSACTIONS ON SMART GRID (2021)

Add to Collection

Article Construction & Building Technology

Enhancing stochastic multi-microgrid operational flexibility with mobile energy storage system and power transaction

Z. L. Qu et al.

Summary: This paper proposes a flexibility enhancement strategy based on a mobile energy storage system and power transactions for interconnecting multiple microgrids, addressing the uncertainty issues caused by renewable energy penetration. Numerical studies demonstrate the effectiveness of the approach in reducing operational costs and improving system performance.

SUSTAINABLE CITIES AND SOCIETY (2021)

Add to Collection

Article Thermodynamics

Improving operational flexibility of integrated energy system with uncertain renewable generations considering thermal inertia of buildings

Yang Li et al.

ENERGY CONVERSION AND MANAGEMENT (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Direct Energy Trading of Microgrids in Distribution Energy Market

Hongseok Kim et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Stability-Constrained Microgrid Operation Scheduling Incorporating Frequency Control Reserve

Yiwei Wu et al.

IEEE TRANSACTIONS ON SMART GRID (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Stochastic electricity market model in networked microgrids considering demand response programs and renewable energy sources

Ramin Bahmani et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)

Add to Collection

Article Energy & Fuels

A fair electricity market strategy for energy management and reliability enhancement of islanded multi-microgrids

Amirreza Jafari et al.

APPLIED ENERGY (2020)

Add to Collection

Article Energy & Fuels

Optimal operation strategy for interconnected microgrids in market environment considering uncertainty

Xiangyu Kong et al.

APPLIED ENERGY (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Cooperative Operation for Wind Turbines and Hydrogen Fueling Stations With On-Site Hydrogen Production

Xiong Wu et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal Operation of Soft Open Points in Active Distribution Networks Under Three-Phase Unbalanced Conditions

Peng Li et al.

IEEE TRANSACTIONS ON SMART GRID (2019)

Add to Collection

Article Green & Sustainable Science & Technology

Distributed Robust Energy Management of a Multimicrogrid System in the Real-Time Energy Market

Yun Liu et al.

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2019)

Add to Collection

Article Engineering, Electrical & Electronic

A decentralized robust model for optimal operation of distribution companies with private microgrids

Maryam Mohiti et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)

Add to Collection

Article Energy & Fuels

An islanding partition method of active distribution networks based on chance-constrained programming

Jinli Zhao et al.

APPLIED ENERGY (2019)

Add to Collection

Article Energy & Fuels

Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach

Xiong Wu et al.

APPLIED ENERGY (2019)

Add to Collection

Article Automation & Control Systems

Optimal Operation of Multimicrogrids via Cooperative Energy and Reserve Scheduling

Yuanzheng Li et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Add to Collection

Review Green & Sustainable Science & Technology

Analysis on the organization and Development of multi-microgrids

Zhirong Xu et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Incentivizing Energy Trading for Interconnected Microgrids

Hao Wang et al.

IEEE TRANSACTIONS ON SMART GRID (2018)

Add to Collection

Article Energy & Fuels

Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products

Jianxiao Wang et al.

APPLIED ENERGY (2017)

Add to Collection

Article Automation & Control Systems

Optimal Control of Power Flows and Energy Local Storages in a Network of Microgrids Modeled as a System of Systems

Ahmed Ouammi et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Optimal Power Dispatch of Multi-Microgrids at Future Smart Distribution Grids

Nima Nikmehr et al.

IEEE TRANSACTIONS ON SMART GRID (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Coordinated Energy Management of Networked Microgrids in Distribution Systems

Zhaoyu Wang et al.

IEEE TRANSACTIONS ON SMART GRID (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Robust Optimization Based Optimal DG Placement in Microgrids

Zhaoyu Wang et al.

IEEE TRANSACTIONS ON SMART GRID (2014)

Add to Collection

Article Engineering, Electrical & Electronic

A Versatile Probability Distribution Model for Wind Power Forecast Errors and Its Application in Economic Dispatch

Zhao-Sui Zhang et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2013)

Add to Collection

© Peeref 2019-2024. All rights reserved.