Frontiers in Energy Research最新文献

The analysis of the threshold value of the complex short-circuit ratio index and its significance in the context of static voltage stability 复短路比指数临界值的分析及其在静态电压稳定性方面的意义

Frontiers in Energy Research Pub Date : 2024-08-09 DOI: 10.3389/fenrg.2024.1413910

Pan Lei, Jinquan Zhao

{"title":"The analysis of the threshold value of the complex short-circuit ratio index and its significance in the context of static voltage stability","authors":"Pan Lei, Jinquan Zhao","doi":"10.3389/fenrg.2024.1413910","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1413910","url":null,"abstract":"The short-circuit ratio index (SCR) can effectively quantify the voltage support strength in traditional DC grid-connected scenarios, yet it cannot reasonably describe the voltage support strength in diverse device grid connection scenarios. This paper introduces a new calculation method of the complex short-circuit ratio index (SCR∼) and derives the threshold value of the complex short-circuit ratio index to enable a comprehensive quantitative assessment of grid voltage support strength across diverse device grid connection scenarios. Firstly, critical short-circuit ratio (CSCR) under different assumed conditions were derived based on the short-circuit ratio index. Secondly, the calculation method of the complex short-circuit ratio index was introduced, considering both the equivalent impedance angle of the device and the Thevenin equivalent impedance angle. This was followed by the determination of the threshold value of the complex short-circuit ratio (CSCR∼), enabling a precise quantitative evaluation of power grid voltage support strength in diverse device grid connection scenarios. Finally, the example analysis proves the accuracy and efficacy of the complex short-circuit ratio index in assessing the voltage support strength of diverse devices in grid-connected scenarios.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Overview of the PI (2DoF) algorithm in wind power system optimization and control 风力发电系统优化和控制中的 PI（2DoF）算法概述

Frontiers in Energy Research Pub Date : 2024-08-09 DOI: 10.3389/fenrg.2024.1435455

Belachew Desalegn, Bimrew Tamrat

{"title":"Overview of the PI (2DoF) algorithm in wind power system optimization and control","authors":"Belachew Desalegn, Bimrew Tamrat","doi":"10.3389/fenrg.2024.1435455","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1435455","url":null,"abstract":"Recent research generally reports that the intermittent characteristics of sustainable energy sources pose great challenges to the efficiency and cost competitiveness of sustainable energy harvesting technologies. Hence, modern sustainable energy systems need to implement a stringent power management strategy to achieve the maximum possible green electricity production while reducing costs. Due to the above-mentioned characteristics of sustainable energy sources, power management systems have become increasingly sophisticated nowadays. For addressing the analysis, scheduling, and control problems of future sustainable power systems, conventional model-based methods are completely inefficient as they fail to handle irregular electric power disturbances in renewable energy generations. Consequently, with the advent of smart grids in recent years, power system operators have come to rely on smart metering and advanced sensing devices for collecting more extensive data. This, in turn, facilitates the application of advanced machine learning algorithms, which can ultimately cause the generation of useful information by learning from massive data without assumptions and simplifications in handling the most irregular operating behaviors of the power systems. This paper aims to explore various application objectives of some machine learning algorithms that primarily apply to wind energy conversion systems (WECSs). In addition, an enhanced proportional integral (PI) (2DoF) algorithm is particularly introduced and implemented in a doubly fed induction generator (DFIG)-based WECS to enhance the reliability of power production. The main contribution of this article is to leverage the superior qualities of the PI (2DoF) algorithm for enhanced performance, stability, and robustness of the WECS under uncertainties. Finally, the effectiveness of the study is demonstrated by developing a virtual reality in a MATLAB-Simulink environment.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141925337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing 基于能源-碳综合定价的多代理斯塔克尔伯格博弈虚拟电厂和多能源系统的交易策略

Frontiers in Energy Research Pub Date : 2024-08-09 DOI: 10.3389/fenrg.2024.1459667

Yanyu Yan, Shiwei Xie, Jianlin Tang, Bin Qian, Xiaoming Lin, Fan Zhang

{"title":"Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing","authors":"Yanyu Yan, Shiwei Xie, Jianlin Tang, Bin Qian, Xiaoming Lin, Fan Zhang","doi":"10.3389/fenrg.2024.1459667","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1459667","url":null,"abstract":"A virtual power plant (VPP) has the ability to aggregate numerous decentralized distributed energy resources using advanced control technology, offering a promising approach for low-carbon development. In order to enhance the VPP’s contribution to reducing carbon emissions, a bi-level framework is proposed that incorporates an integrated energy-carbon price response mechanism. This model allows VPPs to participate in a multi-energy system through a multi-agent Stackelberg game framework. Initially, a transaction model is established where the power distribution system operator and the gas distribution system operator act as leaders, while the virtual power plant operator acts as a follower in the multi-energy system. Subsequently, an integrated energy-carbon pricing method, rooted in carbon emission flow theory, is introduced to encourage VPPs to proactively adjust their energy-use and trading strategies within multi-energy systems, thereby promoting multi-principal interactive trading. To achieve a distributed solution among multiple entities while maintaining the privacy of each entity’s information, the adaptive step-size alternating direction multiplier method is employed. The feasibility and effectiveness of the proposed model and method are then demonstrated through case studies.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141924363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Research and design for a storage liquid refrigerator considering the characteristics of energy storage batteries 考虑到储能电池特性的储液冰箱研究与设计

Frontiers in Energy Research Pub Date : 2024-08-09 DOI: 10.3389/fenrg.2024.1419427

Xianwei Zhou, Chuncheng Liu, Yi Qian, Zhenyu Bi, Mo Yang

引用次数: 0

Reinforcement learning and game theory based cyber-physical security framework for the humans interacting over societal control systems 基于强化学习和博弈论的网络物理安全框架，适用于与社会控制系统互动的人类

Frontiers in Energy Research Pub Date : 2024-08-08 DOI: 10.3389/fenrg.2024.1413576

Yajuan Cao, Chenchen Tao

{"title":"Reinforcement learning and game theory based cyber-physical security framework for the humans interacting over societal control systems","authors":"Yajuan Cao, Chenchen Tao","doi":"10.3389/fenrg.2024.1413576","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1413576","url":null,"abstract":"A lot of infrastructure upgrade and algorithms have been developed for the information technology driven smart grids over the past twenty years, especially with increasing interest in their system design and real-world implementation. Meanwhile, the study of detecting and preventing intruders in ubiquitous smart grids environment is spurred significantly by the possibility of access points on various communication equipment. As a result, there are no comprehensive security protocols in place preventing from a malicious attacker’s accessing to smart grids components, which would enable the interaction of attackers and system operators through the power grid control system. Recently, dynamics of time-extended interactions are believed to be predicted and solved by reinforcement learning technology. As a descriptive advantage of the approach compared with other methods, it provides the opportunities of simultaneously modeling several human continuous interactions features for decision-making process, rather than specifying an individual agent’s decision dynamics and requiring others to follow specific kinematic and dynamic limitations. In this way, a machine-mediated human-human interaction’s result is determined by how control and physical systems are designed. Technically, it is possible to design dedicated human-in-the-loop societal control systems that are attack-resistant by using simulations that predict such results with preventive assessment and acceptable accuracy. It is important to have a reliable model of both the control and physical systems, as well as of human decision-making, to make reliable assumptions. This study presents such a method to develop these tools, which includes a model that simulates the attacks of a cyber-physical intruder on the system and the operator’s defense, demonstrating the overall performance benefit of such framework designs.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141928778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A stochastic power flow-based static security assessment under uncertain scenarios 不确定情景下基于随机电力流的静态安全评估

Frontiers in Energy Research Pub Date : 2024-08-08 DOI: 10.3389/fenrg.2024.1429160

Yuyue Zhang, Xin Tian, Lina Zhang

引用次数: 0

Electro-thermal coupling modeling of energy storage station considering battery physical characteristics 考虑电池物理特性的储能站电热耦合建模

Frontiers in Energy Research Pub Date : 2024-08-08 DOI: 10.3389/fenrg.2024.1433797

Mingdian Wang, Peng Jia, Wenqi Wei, Zhihua Xie, Jukui Chen, Haiying Dong

{"title":"Electro-thermal coupling modeling of energy storage station considering battery physical characteristics","authors":"Mingdian Wang, Peng Jia, Wenqi Wei, Zhihua Xie, Jukui Chen, Haiying Dong","doi":"10.3389/fenrg.2024.1433797","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1433797","url":null,"abstract":"Aiming at the current lithium-ion battery storage power station model, which cannot effectively reflect the battery characteristics, a proposed electro-thermal coupling modeling method for storage power stations considers the characteristics of the battery body by combining the equivalent circuit model and accounting for the effect of temperature on the battery. Based on the modeling of a single lithium-ion battery, the equivalent circuit model and thermal model are integrated to create the battery’s electro-thermal coupling model. The parameters of this coupling model are determined using the particle swarm algorithm. On this basis, the battery compartment model of the energy storage station is analyzed and verified by utilizing the circuit series–parallel connection characteristics. Subsequently, the electro-thermal coupling model of the energy storage station is established. The dual Kalman filter algorithm is utilized to simulate and validate the electric–thermal coupling model of the energy storage power station, considering ontological factors such as battery voltage, current, and temperature. The results demonstrate that the established coupling model can accurately determine the SOC and temperature of the power station. This ability allows for a more precise reflection of the battery characteristics of the energy storage station. It also validates the accuracy and effectiveness of the electric–thermal coupling model of the energy storage station. This finding is crucial for assessing the state and ensuring the safe operation of the battery system in the energy storage station.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141928334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Role of renewable energy and storage in low-carbon power systems 可再生能源和储能在低碳电力系统中的作用

Frontiers in Energy Research Pub Date : 2024-08-08 DOI: 10.3389/fenrg.2024.1442144

Weiru Wang, Xueting Cheng, Jing Li, Huiping Zheng, Mengzan Li

引用次数: 0

Complex fracture description and quasi-elastic energy development mathematical model for shale oil reservoirs 页岩油藏的复杂断裂描述和准弹性能量开发数学模型

Frontiers in Energy Research Pub Date : 2024-05-17 DOI: 10.3389/fenrg.2024.1407183

Wang Rui, Zhengdong Lei, Jia Han, Yang Yang, Yan Yiqun

引用次数: 0

Influence of usage and model inaccuracies on the performance of smart hot water heaters: lessons learned from a demand response field test 使用情况和模型误差对智能热水器性能的影响：从需求响应现场测试中汲取的经验教训

Frontiers in Energy Research Pub Date : 2024-05-16 DOI: 10.3389/fenrg.2024.1363378

P. Kepplinger, Gerhard Huber, M. Preißinger

{"title":"Influence of usage and model inaccuracies on the performance of smart hot water heaters: lessons learned from a demand response field test","authors":"P. Kepplinger, Gerhard Huber, M. Preißinger","doi":"10.3389/fenrg.2024.1363378","DOIUrl":"https://doi.org/10.3389/fenrg.2024.1363378","url":null,"abstract":"Domestic hot water heaters are considered to be easily integrated as flexible loads for demand response. While literature grows on reproducible simulation and lab tests, real-world implementation in field tests considering state estimation and demand prediction-based model predictive control approaches is rare. This work reports the findings of a field test with 16 autonomous smart domestic hot water heaters. The heaters were equipped with a retrofittable sensor/actuator setup and a real-time price-driven model predictive control unit, which covers state estimation, demand prediction, and optimization of switching times. With the introduction of generic performance indicators (specific costs and thermal efficiency), the results achieved in the field are compared by simulations to standard control modes (instantaneous heating, hysteresis, night-only switching). To evaluate how model predictive control performance depends on the user demand prediction and state estimation accuracy, simulations assuming perfect predictions and state estimations are conducted based on the data measured in the field. Results prove the feasible benefit of RTP-based model predictive control in the field compared to a hysteresis-based standard control regarding cost reduction and efficiency increase but show a strong dependency on the degree of utilization.","PeriodicalId":503838,"journal":{"name":"Frontiers in Energy Research","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140971002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0