Article
Thermodynamics
Yudong Wang, Junjie Hu
Summary: This paper proposes a two-stage energy management method for integrated energy system (IES) considering the energy pre-transaction behavior of energy service provider (ESP) and users. The proposed method improves the profitability of ESP and users, promotes the utilization ratio of renewable energy, and reduces the carbon emissions of the system.
Article
Energy & Fuels
Haibing Wang, Chengmin Wang, Weiqing Sun, Muhammad Qasim Khan
Summary: This study proposes a two-stage stochastic hierarchical framework for energy pricing and management of integrated energy service providers (IESP), considering the demand response (DR) strategy of users, characteristics of energy storage, and uncertainties in electricity and gas wholesale prices. By transforming the model into a mixed-integer linear programming (MILP) problem, it can be easily solved using a commercial solver. The simulation results demonstrate the interaction between IESP and user agents through energy pricing, DR strategy, and energy management.
Article
Energy & Fuels
Junkai Li, Shaoyun Ge, Zhengyang Xu, Hong Liu, Jifeng Li, Chengshan Wang, Xueying Cheng
Summary: This paper proposes a two-stage framework of a network-secure peer-to-peer (P2P) market to address the new challenges of establishing a fairness distribution-level transactive market and ensuring security in the distribution network. The first stage employs a multi leaders multi followers (MLMF) Stackelberg game to establish a P2P electricity-carbon integrated market, considering stakeholders' changing roles between producer and consumer in energy and carbon allowance transactions. The second stage considers network reconfiguration to support transactive results and minimize restrictions on node injected power. Numerical results show that the established P2P electricity-carbon integrated market can reduce carbon emissions by over 6% without harming prosumers' total revenues.
Article
Energy & Fuels
Bingshun Mao, Dong Han, Yande Wang, Xiaotian Dong, Zheng Yan
Summary: This study proposes a novel pricing mechanism for peer-to-peer energy trading, which can facilitate energy transactions among community users. Simulation results demonstrate that this mechanism can provide significant financial benefits for the community.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2023)
Article
Energy & Fuels
Edstan Fernandez, M. J. Hossain, S. M. Nawazish Ali, Vivek Sharma
Summary: This paper proposes a game-theoretic model for community energy management that promotes energy trading among community members. Consumers and vendors are classified within the community, with roles interchangeable based on power consumption profiles. An evolutionary game is used to model consumer dynamics in selecting vendors, with vendors setting competitive prices to attract consumers. The model is tested in a community in Sydney and shows cost savings for consumers and profits for vendors. The results demonstrate the effectiveness of energy trading within a community for financial gains and energy conservation, especially if combined with demand response strategies and storage systems.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2023)
Article
Engineering, Electrical & Electronic
Shuai Lu, Wei Gu, Yijun Xu, Zhao Yang Dong, Lingling Sun, Hao Zhang, Shixing Ding
Summary: This study proposes a robust nodal pricing (RNP) model for thermal loads in integrated energy systems (IES) under uncertainty. The model adopts a bilevel framework with the IES operator as the leader and the thermal load aggregators (TLA) as the followers. The IES operator optimizes heat prices and dispatch plans, while the TLA optimizes thermal loads to minimize energy costs and thermal comfort losses. Case studies compare different pricing methods and confirm the superiority of the proposed approach.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Energy & Fuels
Ruizhi Li, Xiaohe Yan, Nian Liu
Summary: This paper proposes a hybrid energy sharing strategy for prosumers considering the electric and thermal network cost, to reduce the total cost. The rationality and effectiveness of the model and the optimization method are verified by a coupled electricity-heat IES.
Article
Computer Science, Interdisciplinary Applications
Shaojian Qu, Lingli Shu, Jingyuan Yao
Summary: Research shows that misreporting behavior by the manufacturer is harmful to the retailer, while fairness concern behavior by the retailer can lead to a decrease in the manufacturer's profit but also help in dealing with the manufacturer's misreport behavior. Manufacturers can benefit from appropriately misreporting in response to the retailer's fairness concern behavior.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Civil
Yiqi Zhao, Teng Zeng, Zaid Allybokus, Ye Guo, Scott Moura
Summary: This work proposes a new modeling framework for jointly optimizing the design of charging networks and logistics planning for electric vehicle fleets. It considers the non-cooperative nature of the charging service provider and fleet operator and formulates a bi-level mixed integer program to address their strategic interaction. Through detailed numerical studies on a small network, it demonstrates the uniqueness of this framework.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Energy & Fuels
Qunli Wu, Chunxiang Li
Summary: This paper establishes an operational framework for an integrated energy system, including power to gas, fuel cell, and carbon capture system. Through a bilevel energy trading mode, it achieves both the benefits for the integrated energy service provider and users, as well as peak cutting and valley filling, and improves the flexibility of the system operation. Simulation results show significant advantages in terms of system operation and user costs, as well as a balance between carbon emissions mitigation and economic benefits.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Engineering, Electrical & Electronic
Yuanyuan Zhang, Huiru Zhao, Bingkang Li, Xuejie Wang
Summary: This paper establishes a Stackelberg game model between the integrated energy system operator (IESO) and the integrated energy system (IES), studying the pricing behavior and optimization strategy. The existence and uniqueness of the game equilibrium solution are proved using the double mutation differential evolution algorithm. An integrated energy system park is used as an example to demonstrate the rationality and effectiveness of the model.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
Xiaofeng Liu, Qi Wang, Cheng Wu
Summary: This article proposes a trading mechanism among multiple energy retailers and consumers, utilizing a multi-leader and multi-follower Stackelberg game model, and a distributed algorithm combining particle swarm optimization and interior point method. Simulation results demonstrate that the proposed trading mechanism contributes to the development of heterogeneous energy market and leads to higher overall profit for retailers compared to the traditional trading mechanism.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Engineering, Chemical
Xiaoling Yuan, Yi Guo, Can Cui, Hao Cao
Summary: The integrated energy system integrates power, natural gas, and thermal systems to address renewable energy issues, with suppliers and users reaching Nash equilibrium and using a genetic algorithm to solve for maximum and target profit.
Article
Thermodynamics
Yujing Huang, Yudong Wang, Nian Liu
Summary: This paper proposes a two-stage energy management method for heat-electricity integrated energy systems, considering dynamic pricing and operation strategy optimization. The method improves energy efficiency and operation economy by establishing energy efficiency evaluation criteria and energy management models.
Article
Thermodynamics
Ke Li, Ning Ye, Shuzhen Li, Haiyang Wang, Chenghui Zhang
Summary: As the conflict between energy and the environment intensifies, integrated energy system (IES) is an effective solution to address the difficulties of multi-energy coupling and multi-agent. This study proposes a multi-agent game operation strategy with integrated demand response (IDR) to optimize energy supply and utilization. The proposed distributed bi-level optimization model is solved using a distributed algorithm through genetic algorithm nested quadratic programming. Case studies in three scenarios demonstrate the effectiveness of the proposed method in improving supply-side revenue, reducing demand-side costs, and enhancing the operation and stability of energy supply and utilization.
Article
Computer Science, Artificial Intelligence
Wuzhao Li, Lei Wang, Xingjuan Cai, Junjie Hu, Weian Guo
NEURAL COMPUTING & APPLICATIONS
(2019)
Article
Automation & Control Systems
Shiwei Xia, Siqi Bu, Junjie Hu, Baodi Hong, Zhizhong Guo, Dongying Zhang
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2019)
Article
Energy & Fuels
Jiechen Wu, Junjie Hu, Xin Ai, Zhan Zhang, Huanyu Hu
Article
Engineering, Electrical & Electronic
Xin Ai, Jiechen Wu, Junjie Hu, Zhao Yang, Guangya Yang
IET GENERATION TRANSMISSION & DISTRIBUTION
(2020)
Article
Engineering, Electrical & Electronic
Xin Ai, Zhouyang Wu, Junjie Hu, Yang Li, Peng Hou
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Panagiotis Pediaditis, Charalampos Ziras, Junjie Hu, Shi You, Nikos Hatziargyriou
ELECTRIC POWER SYSTEMS RESEARCH
(2020)
Article
Engineering, Electrical & Electronic
Junjie Hu, Jiechen Wu, Xin Ai, Nian Liu
Summary: The study introduces a robust virtual battery model to manage prosumers' flexibility and optimally schedules resources using iDLMP to prevent network congestion. Numerical results demonstrate the effectiveness of the proposed method in alleviating distribution grid congestion while respecting prosumers' economic interests and private information.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Zhao Yang, Junjie Hu, Xin Ai, Jiechen Wu, Guangya Yang
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
Engineering, Multidisciplinary
Xiaoxing Lu, Xinxin Ge, Kangping Li, Fei Wang, Hongtao Shen, Peng Tao, Junjie Hu, Jingang Lai, Zhao Zhen, Miadreza Shafie-khah, Joao P. S. Catalao
Summary: This study proposed an optimal bidding strategy for aggregators in demand response programs focusing on residential customers, considering their bottom-up responsiveness. The method involves establishing customer responsiveness functions, introducing home energy management systems for load adjustment, and optimizing bidding strategies and scheduling schemes to maximize revenue. The validity of the proposed method was confirmed using data from the Pecan Street experiment in Austin, demonstrating its practical rationality.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Junjie Hu, Xuetao Liu, Mohammad Shahidehpour, Shiwei Xia
Summary: This study focuses on the complementarity of multiple energy resources in energy hubs to solve possible distribution network congestions. An optimal operation strategy of multiple energy hubs enables gas-to-electricity to provide local energy supply for EH during electricity peak periods, and consume renewable energy generation by the complementarity of electricity, heat and cooling. The proposed operation strategy explores EHs' operation flexibility to mitigate distribution network congestion when considering high renewable energy penetration.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2021)
Article
Computer Science, Information Systems
Arsalan Masood, Junjie Hu, Ai Xin, Ahmed Rabee Sayed, Guangya Yang
Article
Computer Science, Information Systems
Peng Hou, Guangya Yang, Junjie Hu, Philip J. Douglass
Proceedings Paper
Computer Science, Interdisciplinary Applications
Ali Waqar, Junjie Hu, Muhammad Rizwan Mushtaq, Hadi Hussain, Hassaan Aziz Qazi
2019 2ND INTERNATIONAL CONFERENCE ON COMPUTING, MATHEMATICS AND ENGINEERING TECHNOLOGIES (ICOMET)
(2019)
Article
Computer Science, Information Systems
Junjie Hu, Yang Li, Huayanran Zhou