相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article
Engineering, Electrical & Electronic
[Anonymous]
Summary: In this paper, a coalitional game theoretic energy transaction algorithm for networked microgrids is developed to improve energy exchange efficiency. The algorithm guides the order of transactions in a coalition and allocates coalition utility fairly using the Shapley value. Additionally, a modified coalition formation algorithm is designed to ensure a stable partition on the network, reducing costs and facilitating energy transactions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Hamid Karimi et al.
Summary: This paper proposes a stochastic framework for the operation scheduling of integrated renewable-based energy microgrid systems. The proposed model presents comprehensive scheduling that simultaneously considers total generation costs, generation flexibility, and demand-side flexibility. The framework consists of three layers, with each layer targeting specific aspects of the operation management. The application of the proposed framework to a general energy system structure shows significant improvements in electrical and thermal generating flexibility.
Article
Engineering, Electrical & Electronic
Nehmedo Alamir et al.
Summary: This paper proposes a new application of Pelican Optimization Algorithm (POA) for optimal Energy Management (EM) in Microgrid (MG) considering Demand Response program (DRP). It formulates a multi-objective optimization to maximize the MG operator (MGO) benefit and reduce the overall operating cost. A Hybrid DRP is proposed to achieve optimal MG operation by using Incentive-based Demand response (IDR) to reduce the peak load and ensure MG reliability. The proposed technique shows a total reduction in peak hours' load of about 14.6% to 7.6% in two test systems, indicating the superiority of the POA in solving the EM problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Hamid Karimi et al.
Summary: This paper proposes a multi-objective optimization framework to improve the performance of demand response programs in distribution networks. The uncoordinated response of customers creates new peaks in the load profile when market prices are low, so the framework focuses on reducing operating costs and enhancing program efficiency. The model introduces the Average Power Flexibility during Peak Period Index (APFDPPI) to evaluate energy flexibility and simulation results show significant improvements compared to uncoordinated programs.
ELECTRIC POWER SYSTEMS RESEARCH
(2023)
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
Engineering, Electrical & Electronic
Yu Lan et al.
Summary: The multistage economic dispatch solution is crucial for achieving optimal unit commitment and decentralized decision-making in smart grid operations. The stochastic dual dynamic programming (SDDP) has been effective in solving the multistage stochastic programming (SP) problem, but lacks a guarantee of finite termination. To address this, we propose a fast stochastic dual dynamic programming (FSDDP) method that accelerates convergence rate by updating candidate points based on the maximum difference between upper and lower bounds of optimal value functions, adding a backward-forward-backward inner scheme, and initializing bounds with finite constant values. Numerical tests on various distribution systems demonstrate that FSDDP can significantly improve computational efficiency while approaching optimal economic performance.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Liaqat Ali et al.
Summary: This article focuses on the implementation of peer-to-peer energy trading and planning of a grid-connected multi-microgrid system based on an advanced optimization approach. The proposed model uses game theory and Nash equilibrium to optimize the sizing of energy resources and maximize the payoff value. The results show that P2P energy trading reduces the payoff value by 36%.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
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
Engineering, Electrical & Electronic
Zhuoli Zhao et al.
Summary: This paper proposes a distributed robust model predictive control (DRMPC)-based energy management strategy for islanded multi-microgrids to address the issues caused by uncertain renewable energy output in microgrid systems. This strategy combines the advantages of robust optimization and model predictive control, and forms a dynamic energy trading market to enhance the overall economy of the multi-microgrid system.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Energy & Fuels
Weidong Chen et al.
Summary: This study demonstrates that cooperative game among microgrids can achieve flexible consumption of renewable energy in the region and reduce operating costs. Nash bargaining helps alliance members to get satisfactory trading power and tariff, while effectively improving overall operational efficiency and market competitiveness of microgrid systems.
Article
Thermodynamics
German Morales-Espana et al.
Summary: Demand response (DR) is crucial for integrating variable renewable energy (VRE) sources. Detailed DR models are too complex for large-scale energy models, while aggregated DR models are too simplistic. This paper proposes a classification and modeling approach for DR in large-scale models, using linear constraints and a mixed integer programming formulation to capture the key effects of DR in the energy system.
Article
Engineering, Multidisciplinary
Hasan Masrur et al.
Summary: This article presents a grid-connected multicarrier energy microgrid that can provide continuous and cost-effective power and heating load demands. By employing a demand response scheme and energy optimization strategy, the proposed model demonstrates efficiency and resilience in real-world testing.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Hamid Karimi et al.
Summary: In this paper, an analytic approach is proposed to identify the best coalition among microgrids in multi-microgrid systems. The proposed model evaluates and ranks all strategies using a cooperative game. Experimental results demonstrate that the proposed coalition formation can significantly reduce the operating cost of the system and the amount of load shedding.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Hedayat Saboori et al.
Summary: Using renewable resources as alternative energy sources for desalination plants is a promising solution for the water crisis. This paper proposes a potable water production system based on water desalination, utilizing a synergistic wind-PV system, electrical energy storage system, and water tank. By optimizing the size of the desalination unit and power supply components, the system aims to achieve cost-effectiveness while maintaining water supply reliability and emission limits.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
A. G. Olabi et al.
Summary: This editorial summarized some scientific works presented at the 2018 SEEP conference, which were directly related to the scope of the RSER journal. It focused on the development of renewable energy and its positive effect on climate change, and briefly summarized the accepted manuscripts in this issue.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Energy & Fuels
Mohammad Ali Taghikhani et al.
Summary: This paper aims to optimally analyze micro-grid energy management with consideration of renewable resources, pollution decrease, and economic objective. The study applies water cycle algorithm (WCA) for energy consumption smart optimization and probabilistic scenarios for modeling renewable resources and load uncertainty. The results suggest that a balance between cost and pollution emission needs to be considered when both economic objective and emission function are taken into account.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Shubham Tiwari et al.
Summary: This paper presents a cooperative energy management approach for multi-carrier networked energy hubs. The proposed scheme allows energy hubs to exchange power for higher economic and environmental benefits. Based on cooperative game theory, individual energy hubs collaborate to secure maximum profit, which is then distributed fairly among the hubs to ensure economic stability. The proposed model considers a networked system integrating various energy resources to meet electrical and thermal demands, and employs algorithms to address uncertain source behavior. Results show reduced operating costs and greenhouse gas emissions, as well as improved self-reliability of the networked system through cooperation and flexible resources.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Electrical & Electronic
Yuzhou Zhou et al.
Summary: This paper proposes a new multistage generation scheduling method for regional microgrids with renewables and energy storage that can ensure robustness and nonanticipativity of scheduling solutions. A feasibility proposition and a scenario-based multistage robust scheduling model are established to address uncertainties and guarantee economic performance of scheduling results. Numerical tests demonstrate the efficacy of the proposed method.
IEEE TRANSACTIONS ON SMART GRID
(2022)
Article
Computer Science, Information Systems
Xiaodong Du et al.
Summary: This paper proposes a model for optimizing power dispatching in multi-microgrids, using an improved cuckoo search algorithm which outperforms other algorithms, and the model's effectiveness is confirmed in a case study.
Article
Computer Science, Information Systems
Hafiz Muhammad Ashraf et al.
Summary: This paper proposes a method to simulate the uncertainty of renewable energy sources (RES) and intelligently control load demand for smooth penetration of RES. By modeling the uncertainty with the sympathetic impact of information gap decision theory and using a virtual layer to model the post-challenge of RES penetration, technical and economic benefits can be achieved.
Article
Energy & Fuels
Nathanael Dougier et al.
Summary: The development of microgrids allows local territories to increase their decision-making autonomy and design networks that align with their values. The diversity in solutions in terms of performances and parameters helps in choosing innovative microgrids, which can have close performances but different parameters. Expanding the design space through technological and management choices is crucial for finding innovative microgrids with minimized negative impacts on the environment.
Article
Energy & Fuels
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.
Article
Energy & Fuels
Jian Chen et al.
Summary: This article proposes an effective energy management framework for a distributed networked microgrid and enhances the accuracy of modeling parameter uncertainties using a reinforcement learning approach. Additionally, a secure energy transaction structure based on the directed acyclic graph method is introduced to establish a secure communication platform.
ENERGY STRATEGY REVIEWS
(2021)
Article
Energy & Fuels
Mohammad H. Shams et al.
Summary: This study aims to optimize the sizing and operation of alkaline water electrolyzers and battery energy storage systems using deep learning, in order to maximize the utilization of renewable energy sources and reduce curtailments.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Xiaotong Hu et al.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2017)