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Article
Thermodynamics
Jizhen Liu et al.
Summary: Under the background of energy internet and low-carbon power, integrated energy system (IES) has become an important carrier of energy conservation and emission reduction. The proposed energy management model with two-stage scheduling aims at the collaborative optimization of generator-load-storage of IES. The model utilizes Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and YALMIP toolbox to solve the day-ahead economic scheduling and real-time optimal scheduling, respectively.
Article
Thermodynamics
Xiaolun Fang et al.
Summary: This paper proposes an electricity-hydrogen integrated charging station system using hydrogen energy storage, and utilizes a two-stage energy management system strategy to manage and dispatch multiple charging stations. Simulation results show that the proposed solution outperforms the baseline solution in terms of economic benefits.
Article
Thermodynamics
Jiazhu Xu et al.
Summary: In this paper, a microgrid model is established for coordinating electricity, heat, and gas. Robust interval optimization is used to deal with uncertainties in the source and load. A combined heat and power (CHP) model integrating power to gas (P2G) and carbon capture systems (CCS) is constructed to achieve emissions reduction through carbon trading. A multi-microgrid Peer-to-Peer (P2P) low-carbon economic operation model is established based on the Nash bargaining theory and solved using the alternating direction method of multipliers (ADMM) with good convergence and privacy.
Article
Thermodynamics
Tengfei Ma et al.
Summary: This paper proposes a cooperative planning and operative model for the Wind-Hydrogen-Heating multi-agent energy system based on the Nash bargaining game theory. Two distributed algorithms are proposed to solve the subproblems. Simulation results demonstrate that the model and algorithms significantly improve the benefits of the participants and the cooperative alliance.
Article
Green & Sustainable Science & Technology
Nikita Tomin et al.
Summary: Energy communities are a successful model of local energy systems based on distributed energy sources and flexible electricity consumers. They serve as platforms for experiments in new energy practices, such as local markets for flexibility and cooperative microgrids, aiming to achieve energy autonomy. This work presents a unified approach to building and managing community microgrids, using bilevel programming and reinforcement learning. Numerical results show significant reduction in the LCOE index and improved electricity supply quality in real test cases.
Article
Construction & Building Technology
Peyman Khorshidian Mianaei et al.
Summary: Microgrids play a significant role in developing consumer energy infrastructure in more economical, safer, and sustainable ways. This paper focuses on the operation of CCHP-based MGs considering the mutual relationship between carriers, analyzing the dependence of the system on each carrier and the interaction between carriers. The results highlight the importance of the electricity carrier confidence level on the system's reliable performance.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Energy & Fuels
Yubin Wang et al.
Summary: This study proposes a multi-stage optimal energy management system (EMS) for participating in the deregulated electricity market to minimize operational costs of the MEMG. The EMS consists of forecasting, day-ahead scheduling, and real-time dispatch stages. LSTM is used for day-ahead data forecasting and rolling MPC is used to minimize costs in the real-time dispatch stage.
Article
Thermodynamics
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.
Article
Thermodynamics
Wenzhi Cao et al.
Summary: This paper proposes an efficient and economic hybrid storage and energy sharing model for multiple microgrids. By introducing a hybrid energy storage system (HESS), energy conversion and collaborative energy sharing among multiple microgrids are achieved. An energy optimization problem is solved using the ADMM algorithm in a distributed manner to address privacy concerns. The storage and energy sharing benefits are determined by the Nash bargaining solution. Simulation results demonstrate that the model effectively improves renewable energy utilization and provides economic benefits for both microgrids and the HESS.
Article
Automation & Control Systems
Nian Liu et al.
Summary: This article investigates the integration of energy hubs and prosumers in heat-electric integrated energy systems. By combining contract theory and consensus algorithms, a closed-loop framework is designed to address energy sharing schemes in the lower level system and energy sharing framework in the upper level system. Simulation results demonstrate the effectiveness and feasibility of the proposed framework.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Construction & Building Technology
Mohammad Sadegh Javadi et al.
Summary: This paper presents a pool trading model for local energy communities, considering HEMS and other consumers. It proposes a transparent market clearing mechanism to incentivise active energy producers to trade their surplus energy. Through mathematical optimization, the trading market for real energy communities can be evaluated. The results show that cooperation among end-users in the local energy community market can reduce the total electricity bill.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Construction & Building Technology
Omaji Samuel et al.
Summary: This paper proposes a secure energy system consisting of private and public blockchains for vehicles in sustainable cities and society. The system aims to protect vehicle owners' interests and privacy through dynamic demand based pricing policy and application of differential privacy. The research results show significant reductions in energy prices and operating costs, along with higher levels of security and privacy protection.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Review
Management
Chunlin Luo et al.
Summary: This paper provides a survey on the core concepts and solution approaches in cooperative game theory and their applications in operations management. The basic concepts and recent theoretical developments are introduced, and the applications in operations management in the past decade are reviewed. The future research directions in operations management with applications of cooperative game theory are also discussed.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2022)
Article
Thermodynamics
Zhiqiang Liu et al.
Summary: This study explores an optimization model for properly sizing a multi-energy complementary integrated energy system (MCIES) considering uncertainties and achieving the best economic, environmental, and thermal comfort benefits. The non-dominated sorting genetic algorithm-II (NSGA-II) combined with TOPSIS and Shannon entropy method is used for optimization. Case studies demonstrate the effectiveness of the proposed approach.
Article
Computer Science, Artificial Intelligence
Mario Levorato et al.
Summary: The advent of smart grids has brought about various technological developments, such as new electricity market rules and regulations. Microgrids can trade energy with the main grid, enabling them to adapt to changes in local consumers' demand. This study focuses on the flexible energy contract subscription framework and real-time command strategy for energy scheduling in microgrids.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Thermodynamics
Ahmed Ouammi
Summary: This paper presents a cooperative control framework for a connected cluster of microgrids with multi-smart greenhouses in the context of smart grids. The framework aims to optimize the operation of the microgrids and manage power flow exchange to ensure high quality of service. An optimization algorithm is developed to effectively control the operation of clustered microgrids and enhance energy efficiency by manipulating micro-climate variables.
Article
Engineering, Electrical & Electronic
Zhao Yang et al.
Summary: This study develops an energy sharing strategy supported by the TE mechanism to coordinate interconnected MECMs, using the ADMM algorithm for distributed optimization and economic interpretation of the shared energy scheme. The effectiveness of the method is demonstrated through case studies considering IDR, with easy implementation and convergence while respecting MECMs' individual benefits and private information.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Automation & Control Systems
Da Xu et al.
Summary: This article proposes a peer-to-peer transactive multiresource trading framework for multiple multienergy microgrids, addressing the optimization problem of multiple resources and independent decision-makings. The methodology developed can optimize communication and energy flows through Nash bargaining problem and decomposition, showing superiority in system operational economy and resource utilization.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Review
Construction & Building Technology
Muhammad Adil et al.
Summary: The integration of renewable and other distributed energy resources has imposed challenges on the traditional power grid. The increasing demand for green energy and energy trading is driving the need for innovative solutions in the energy market, especially with the rise of electric vehicles. The use of Stackelberg game in modeling energy trading interactions and strategies shows promise in optimizing payoffs and addressing challenges in the current energy trading framework.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Energy & Fuels
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.
Article
Engineering, Electrical & Electronic
Chenyu Wu et al.
Summary: A coordinated optimal power flow (OPF) model is established and an efficient decentralized algorithm is proposed, demonstrating faster convergence and better fuel economy compared to prevailing methods through numerical tests.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Yu Yang et al.
Summary: This paper investigates an energy storage (ES) sharing model cooperatively invested by multiple buildings, considering ES sizing, operation, and cost allocation through a coalition game formulation. The study shows the fairness and computational efficiency of the method, demonstrating enhanced economic benefits for both individual buildings and communities with the ES sharing model compared to individual ES models.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Peng Xie et al.
Summary: This paper proposes a novel energy management framework based on tube-based model predictive control for off-grid microgrid clusters to address uncertainties and achieve reliable energy scheduling. The mixed-stage optimization structure and decentralized decomposition algorithm enhance system robustness and overall convergency. Case studies demonstrate the effectiveness and computational efficiency of the proposed framework.
IEEE TRANSACTIONS ON SMART GRID
(2021)
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Amirreza Jafari et al.
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Fei Wang et al.
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Ashok M. Jadhav et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2019)
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Renzhi Lu et al.
IEEE TRANSACTIONS ON SMART GRID
(2019)
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Esther Mengelkamp et al.
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Energy & Fuels
Jose Iria et al.
Article
Automation & Control Systems
Hongming Yang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2017)
Article
Computer Science, Hardware & Architecture
Konstantin Avrachenkov et al.
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Computer Science, Artificial Intelligence
Shantanu Chakraborty et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2015)
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Engineering, Electrical & Electronic
Hongyu Wu et al.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2014)
