Article
Green & Sustainable Science & Technology
Yong Cui, Anselme Andriamahery, Lie Ao, Jian Zheng, Zhiqiang Huo
Summary: This paper discusses the power generation characteristics between new energy and traditional energy and proposes an optimization method for a new energy power system based on energy alliance. The research shows that the operation mechanism of the multi-energy alliance plays a supporting role in the optimal operation of the new energy power system.
Article
Thermodynamics
Zihao Guo, Ren Zhang, Li Wang, Shunqi Zeng, Yajun Li
Summary: This paper proposes a regional integrated energy system model considering demand response and uses an improved genetic optimization algorithm to solve the model, obtaining optimization results of load demand response and energy networks. Finally, a case study in an industrial park in Guangzhou shows that user-side demand response can reduce the total cost of the regional integrated energy system and play a role in peak shaving and filling valleys in the energy system.
APPLIED THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Peng Li, Zixuan Wang, Jiahao Wang, Weihong Yang, Tianyu Guo, Yunxing Yin
Summary: Integrated energy system (IES) is considered an effective way to alleviate energy supply pressure and improve energy efficiency. However, existing studies have not fully considered the coordination of uncertainty addressing and demand responses over different scheduling stages in the two-stage optimal operation method.
Article
Engineering, Electrical & Electronic
Peng Li, Zixuan Wang, Nan Wang, Weihong Yang, Mingzhe Li, Xichao Zhou, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Navid Rezaei, Yasin Pezhmani
Summary: This paper proposes a contingency-constrained optimal operation model for an islanded multimicrogrid system based on power and hydrogen, considering multiple uncertainties, electrical storage, and demand response resources. A scenario-based approach is used to appropriately model the uncertain nature of electrical load and renewable energy generation, and incentive-based demand response programs are employed to reduce operating costs. The results demonstrate that the use of demand response improves the operating cost of the multimicrogrid system by about 26.8%.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Thermodynamics
Peng Li, Zixuan Wang, Haitao Liu, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: This paper proposes a bi-level optimal configuration strategy for a community integrated energy system (CIES) based on energy supply-demand responses and robustness adjustable scenarios. Through case studies and simulation results, the effectiveness and advantage of the proposed strategy are demonstrated in designing an efficient and flexible CIES.
Article
Engineering, Electrical & Electronic
Mao Yang, Yu Cui, Dawei Huang, Xin Su, Gang Wu
Summary: As the physical carrier of the energy internet, the integrated energy system (IES) can coordinate and optimize the operation of various devices. This study proposes an economic dispatch model and a hierarchical rolling optimal scheduling model for the day-ahead dispatching phase and the intra-day scheduling phase, respectively. By introducing frequency over-limit penalty cost and using model predictive control (MPC) optimization algorithm, the effectiveness of the models and algorithms are verified, while significantly improving the economy of the IES.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Caixin Yan, Chunsheng Wang, Yukun Hu, Minghui Yang, Hao Xie
Summary: This paper proposed a framework integrating Multi-energy system (MES) with Liquid Air Energy Storage (LAES) system, which is a powerful and eco-friendly technology for storing renewable energy. Electricity prices will affect the overall cost of MES, and decision-makers need to consider the uncertainty of electricity prices. Three power dispatching strategies were proposed using the information gap decision theory method, and demand response algorithms were used to study load transfer strategies, showing effective load transfer and cost savings.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Yahui Wang, Yong Li, Yijia Cao, Mohammad Shahidehpour, Lin Jiang, Yilin Long, Youyue Deng, Weiwei Li
Summary: Since the AS market is not fully open for MEMG, the potential of MEMG as a VPP has not been thoroughly explored. This study proposes an optimal operation strategy for MEMG participating in AS, and validates its feasibility through a practical MEMG in China.
IEEE TRANSACTIONS ON SMART GRID
(2023)
Article
Energy & Fuels
Shoudong Ren, Bo Hu, Liaoyi Ning, Hengzhi Xu, Bowen Zhou, Dongsheng Yang, Guangdi Li
Summary: In this study, an integrated energy system with the advantages of multi-source interconnection and overall scheduling was established to address the large-scale electricity demand and co-generation problem of magnesite electrolytic under the restriction of power based on heat. An optimal operation model for the system was developed and simulation verification and analysis were conducted.
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
Energy & Fuels
Jinjing Tan, Weiqi Pan, Yang Li, Haoming Hu, Can Zhang
Summary: This study proposes a day-ahead coordinated operation strategy for multi-district integrated energy systems, considering the topologies of electricity, heating, and cooling networks, energy-sharing mechanism, and integrated demand response mechanism. Uncertainties brought by electricity prices, photovoltaic outputs, and loads are measured using the scenario-based stochastic programming method and two-settlement mechanism. Case studies demonstrate that this strategy model and evaluation indicator can contribute to the economical and eco-friendly operation of the multi-district league and stimulate the coupling and complementarity of multiple energies.
Article
Thermodynamics
Mohammad Rasoul Rahmatian, Ahmad Ghaderi Shamim, Salah Bahramara
Summary: The paper introduces a new island-mode operation method for multi-carrier distribution systems to optimize local energy supply and minimize operation costs. By utilizing the Cournot competition model and Karush-Kuhn-Tucker conditions, optimal resource allocation and energy trading among energy hubs are achieved.
APPLIED THERMAL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Ali Mobasseri, Marcos Tostado-Veliz, Ali Asghar Ghadimi, Mohammad Reza Miveh, Francisco Jurado
Summary: In recent years, multi-energy microgrids have become an important framework for utilizing clean and efficient electro-thermal resources and integrating multi-energy storage facilities. This paper proposes a hybrid robust energy management tool for such microgrids, effectively addressing uncertainties brought by unpredictable demand and renewable generation. The proposed methodology demonstrates high accuracy and computational efficiency.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Jing Wang, Haijun Xing, Huaxin Wang, Baojiang Xie, Yangfan Luo
Summary: In this study, an optimal operation model and strategy considering integrated demand response (IDR) and exergy efficiency in the regional integrated energy system (RIES) is proposed. The economic cost and exergy efficiency of RIES are analyzed, and a model considering IDR is established. The multi-objective optimization model of RIES is established to minimize economic cost and maximize exergy efficiency. The results show that comprehensive demand response can effectively reduce system cost and improve exergy efficiency on the demand side.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Thermodynamics
Peng Li, Zixuan Wang, Weihong Yang, Haitao Liu, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper proposes a hierarchically partitioned coordinated operation method for distributed integrated energy systems (DIES) based on a master-slave game, and successfully verifies that this method can effectively promote the balance of energy supply and demand, as well as reconcile the benefits of leaders and followers.
Article
Thermodynamics
Peng Li, Zixuan Wang, Jiahao Wang, Weihong Yang, Tianyu Guo, Yunxing Yin
Summary: Integrated energy system (IES) is considered an effective way to alleviate energy supply pressure and improve energy efficiency. However, existing studies have not fully considered the coordination of uncertainty addressing and demand responses over different scheduling stages in the two-stage optimal operation method.
Article
Engineering, Electrical & Electronic
Peng Li, Tianyu Guo, Xiaoqing Han, Haitao Liu, Jiaxuan Yang, Jiahao Wang, Yexin Yang, Zixuan Wang
Summary: This paper proposes a coordinated control method for ac/dc hybrid microgrid considering the H.. performance index, which divides the coordinated control into three flexible switching modes to achieve power support and meet different power quality requirements. Based on an optimal decentralized coordinated control theory considering the H.. performance index, a coordinated controller is designed to achieve precise control of frequency in the ac area and voltage in the dc area, with the control effect and conclusions verified.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Peng Li, Tianyu Guo, Yuwei Li, Xiaoqing Han, Peng Wang, Xinming Li, Zixuan Wang
Summary: The paper proposes an adaptive coordinated optimal control method for parallel bidirectional power converters (BPCs) to achieve economically optimal power distribution and high dynamic voltage quality. The control system includes primary and secondary voltage-regulated controllers to distribute power and restore voltage levels efficiently, ensuring stability and optimal performance.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Peng Li, Tianyu Guo, Muditha Abeysekera, Jianzhong Wu, Zhonghe Han, Zixuan Wang, Yunxing Yin, Fengquan Zhou
Summary: The proposed method improves energy management efficiency by dispatching energy subsystems with different intervals according to their characteristics. By balancing exergy efficiency and operation cost, it enhances energy utilization efficiency and provides a multi-dimensional dispatch scheme for dispatchers.
Article
Engineering, Electrical & Electronic
Peng Li, Zixuan Wang, Nan Wang, Weihong Yang, Mingzhe Li, Xichao Zhou, Yunxing Yin, Jiahao Wang, Tianyu Guo
Summary: This paper focuses on the optimal operation of community integrated energy system (CIES) using integrated demand response. Different energy loads are analyzed to introduce strategies for complementary substitution and time shifting, while a stochastic robust optimal operation model is established. The proposed method effectively reduces operation costs, promotes energy supply-demand balance, and achieves economical, flexible, and efficient operation of CIES.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Thermodynamics
Peng Li, Zixuan Wang, Haitao Liu, Jiahao Wang, Tianyu Guo, Yunxing Yin
Summary: This paper proposes a bi-level optimal configuration strategy for a community integrated energy system (CIES) based on energy supply-demand responses and robustness adjustable scenarios. Through case studies and simulation results, the effectiveness and advantage of the proposed strategy are demonstrated in designing an efficient and flexible CIES.
Article
Thermodynamics
Tianyu Guo, Peng Li, Zixuan Wang, Ruyu Shi, Zhonghe Han, Hui Xia, Jianyi Li
Summary: This paper proposes an integrated modeling and operation method for a multienergy system, establishing a coupling matrix equation and modeling the system based on Stackelberg game theory to achieve a reasonable balance between the whole system and its energy subsystems. The optimized day-ahead operation scheme improves system efficiency and highlights the potential for multienergy system development.
Proceedings Paper
Energy & Fuels
Gang Wang, Fengquan Zhou, Peng Li, Zixuan Wang
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)
(2019)
Proceedings Paper
Energy & Fuels
Difan Wu, Zixuan Wang, Lei Hou, Taowei Wang, Kun Su, Peng Li
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC)
(2019)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
