Energy Informatics最新文献_第10页

Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture 考虑碳捕获的互联电力系统的多源协调低碳优化调度

Energy Informatics Pub Date : 2024-07-31 DOI: 10.1186/s42162-024-00367-7

Jiawen Sun, Dong Hua, Xinfu Song, Mengke Liao, Zhongzhen Li, Shibo Jing

{"title":"Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture","authors":"Jiawen Sun, Dong Hua, Xinfu Song, Mengke Liao, Zhongzhen Li, Shibo Jing","doi":"10.1186/s42162-024-00367-7","DOIUrl":"10.1186/s42162-024-00367-7","url":null,"abstract":"<div><p>The overall electricity consumption of electrolytic aluminum and ferroalloy loads is significant, and some of these loads have dispatch potential that can be used to locally absorb wind power while reducing dependence on conventional thermal power. To characterize the uncertainty of wind power, a fuzzy set of wind power forecasting error probability distribution based on the Wasserstein distance was first established, and the approximate radius of the fuzzy set was corrected under extreme scenarios. By introducing joint chance constraints, the inequalities of uncertain variables were established at the lowest confidence level to improve the reliability of the model. Next, a two-stage distributed robust optimal scheduling model for source-load coordination was developed. In the first stage, wind power forecasting information was fully utilized to schedule the electrolytic aluminum load and optimize unit commitment. In the second stage, the uncertainty of wind power output was considered to schedule the ferroalloy load and optimize unit output. The model was approximately transformed into a mixed-integer linear programming problem and solved using a sequential algorithm. The IEEE 24-bus system was used for case validation. The validation results show that the model can effectively improve wind power absorption capacity, reduce overall operating costs, and achieve a balance between low carbon emissions and robustness.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00367-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141863630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Countermeasures to promote sustainable construction and coordinated development of healthy cities: a case study of Dandong City 促进健康城市可持续建设和协调发展的对策：丹东市案例研究

Energy Informatics Pub Date : 2024-07-24 DOI: 10.1186/s42162-024-00363-x

Xiang Liu

{"title":"Countermeasures to promote sustainable construction and coordinated development of healthy cities: a case study of Dandong City","authors":"Xiang Liu","doi":"10.1186/s42162-024-00363-x","DOIUrl":"10.1186/s42162-024-00363-x","url":null,"abstract":"<div><p>In order to promote sustainable construction and coordinated development of healthy cities in small and medium-sized cities, as well as to improve people's happiness, this paper takes the border city of Dandong as an example. It constructs 5 primary indexes and 28 secondary indexes, including healthy environment, healthy culture, health service, healthy society, and healthy tourism real estate. Among them, the index for healthy tourism real estate includes five secondary indicators: tourism income, number of tourists, real estate transaction volume, average selling price of commercial housing, and renovation of old residential areas. This paper analyzes the overall goal of healthy city construction in Dandong using the analytic hierarchy process (AHP). The relative priorities of the five first-level indicators considered are: healthy environment; healthy society; health service; healthy tourism real estate; and healthy culture. This indicates that a focus on creating a healthy environment is more important in evaluating a city's health. According to data analysis, Dandong has met national standards for creating a healthy environment and promoting a vibrant cultural scene. In addition to this achievement, the number of practicing (assistant) doctors per 1000 people in health services reached national standards in 2018, and people's living standards have gradually improved. Combining the advantages of local tourist destinations with the promotion of healthy development in the tourist industry, and balanced growth in real estate development as contributed to the creation of a positive social environment conducive to good health.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00363-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141773656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Calibration of flow differential pressure coefficients on pump-turbine by thermodynamic method 用热力学方法校准泵-涡轮机的流量压差系数

Energy Informatics Pub Date : 2024-07-22 DOI: 10.1186/s42162-024-00365-9

Wenkui Zhang, Hongyi Xu, Wei Liu, Xinwen Hu, Juan Liu

引用次数: 0

Optimization configuration strategy for regional energy systems based on multiple uncertainties and demand response 基于多重不确定性和需求响应的区域能源系统优化配置策略

Energy Informatics Pub Date : 2024-07-18 DOI: 10.1186/s42162-024-00362-y

Rui Zhao, Xinghua Chen

{"title":"Optimization configuration strategy for regional energy systems based on multiple uncertainties and demand response","authors":"Rui Zhao, Xinghua Chen","doi":"10.1186/s42162-024-00362-y","DOIUrl":"10.1186/s42162-024-00362-y","url":null,"abstract":"<div><p>With the opening of the power market and the development of the energy Internet, the optimal allocation of regional energy systems has become the key to achieving energy efficiency and economic balance. The article studies how to achieve this balance by optimizing the allocation of regional energy systems under the influence of price fluctuations and load demand uncertainty in the electricity market. This study introduces a real-time electricity price adjustment mechanism to stimulate user participation in energy adjustments and improve energy utilization efficiency. By constructing an optimization model based on multiple uncertainties and comprehensive demand response, uncertainty factors such as energy market price fluctuations and climate change were considered, and user demand response was integrated. The research results indicate that electricity price fluctuations have a significant impact on system operation, while CSP power plant thermal storage fluctuations have a relatively small impact. After the introduction of demand response, the electricity load can be reduced to zero during specific periods, and the adjustment of electricity prices stimulates user participation and improves the consumption rate of renewable energy. The total revenue of the system increased by 54.147 million yuan, demonstrating the potential of optimized configuration in reducing costs and improving efficiency. This study provides important references for building more efficient and sustainable energy systems.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00362-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application research of UAV infrared diagnosis technology in intelligent inspection of substations 无人机红外诊断技术在变电站智能巡检中的应用研究

Energy Informatics Pub Date : 2024-07-18 DOI: 10.1186/s42162-024-00364-w

Daqi Tian, Jinlin Chen, Xin Wang

引用次数: 0

Energy management controllers: strategies, coordination, and applications 能源管理控制器：策略、协调和应用

Energy Informatics Pub Date : 2024-07-18 DOI: 10.1186/s42162-024-00357-9

Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, Mundu Mustafa Muhamad

{"title":"Energy management controllers: strategies, coordination, and applications","authors":"Mutiu Shola Bakare, Abubakar Abdulkarim, Aliyu Nuhu Shuaibu, Mundu Mustafa Muhamad","doi":"10.1186/s42162-024-00357-9","DOIUrl":"10.1186/s42162-024-00357-9","url":null,"abstract":"<div><p>Energy management controllers (EMCs) are pivotal for optimizing energy consumption and ensuring operational efficiency across diverse systems. This review paper delves into the various control strategies utilized by energy management controllers and explores their coordination mechanisms. Additionally, it examines the architectures of energy management controllers and their real-world implementations. The paper surveys a spectrum of EMCs, including conventional-based, rule-based, optimization-based, hybrid methods, and commercial software-based approaches, highlighting their respective advantages and drawbacks. It investigates how these controllers are coordinated within complex energy systems to achieve optimal performance and adaptability. Furthermore, the review outlines different architectures of energy management controllers, ranging from centralized to decentralized designs, discussing their suitability for various applications and their impact on system performance. Real-world applications of energy management controllers in sectors such as smart grids, buildings, industrial processes, and transportation systems are examined. Case studies and examples demonstrate the efficacy of different control strategies and architectures in addressing specific energy management challenges and achieving desired outcomes. Overall, this review provides valuable insights into the current landscape of energy management controller design and implementation, offering direction for future research and development in the pursuit of energy optimization and sustainability.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00357-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141737284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A direct and analytical method for inverse problems under uncertainty in energy system design: combining inverse simulation and Polynomial Chaos theory 能源系统设计中不确定性条件下反演问题的直接分析方法：反演模拟与多项式混沌理论的结合

Energy Informatics Pub Date : 2024-07-15 DOI: 10.1186/s42162-024-00360-0

Sebastian Schwarz, Daniele Carta, Antonello Monti, Andrea Benigni

{"title":"A direct and analytical method for inverse problems under uncertainty in energy system design: combining inverse simulation and Polynomial Chaos theory","authors":"Sebastian Schwarz, Daniele Carta, Antonello Monti, Andrea Benigni","doi":"10.1186/s42162-024-00360-0","DOIUrl":"10.1186/s42162-024-00360-0","url":null,"abstract":"<div><p>This article introduces and formalizes a novel stochastic method that combines inverse simulation with the theory of generalized Polynomial Chaos (gPC) to solve and study inverse problems under uncertainty in energy system design applications. The method is particularly relevant to design tasks where only a deterministic forward model of a physical system is available, in which a target design quantity is an input to the model that cannot be obtained directly, but can be quantified reversely via the outputs of the model. In this scenario, the proposed method offers an analytical and direct approach to invert such system models. The method puts emphasis on user-friendliness, as it enables its users to conduct the inverse simulation under uncertainty directly in the gPC domain by redefining basic algebra operations for computations. Moreover, the method incorporates an optimization-based approach to integrate supplementary constraints on stochastic quantities. This feature enables the solution of inverse problems bounding the statistical moments of stochastic system variables. The authors exemplify the application of the proposed method with proof-of-concept tests in energy system design, specifically performing uncertainty quantification and sensitivity analysis for a Multi-Energy System (MES). The findings demonstrate the high accuracy of the method as well as clear advantages over conventional sampling-based methods when dealing with a small number of stochastic variables in a system or model. However, the case studies also highlight the current limitations of the proposed method such as slow execution speed due to the optimization-based approach and the challenges associated with, for example, the curse of dimensionality in gPC.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00360-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141646412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of QPSO-BPSO in fault self-healing of distributed power distribution networks QPSO-BPSO 在分布式配电网络故障自愈中的应用

Energy Informatics Pub Date : 2024-07-04 DOI: 10.1186/s42162-024-00358-8

Xuan Liu, Meng Liu, Hong Yin

{"title":"Application of QPSO-BPSO in fault self-healing of distributed power distribution networks","authors":"Xuan Liu, Meng Liu, Hong Yin","doi":"10.1186/s42162-024-00358-8","DOIUrl":"https://doi.org/10.1186/s42162-024-00358-8","url":null,"abstract":"With the widespread application of distributed power sources in distribution networks, fault self-healing technology has become the key to ensuring the reliability of power systems. The micro-grid ensures system stability with a three-layer structure, where the designed method handles optimization problems, achieving faster global search and optimal solutions. Agents develop targeted recovery strategies by understanding network load, which are then executed by higher-level agents to ensure that the optimal recovery command is implemented by the system. According to the research results, during peak load, the system successfully outputted 7 kilowatts and met the load demand through battery discharge, demonstrating its self-healing ability. The output analysis of photovoltaic and wind turbines showed that the system reasonably scheduled within 24 h according to the changes in solar energy and wind power. Based on the quantum behavior particle swarm optimization algorithm, the system has achieved lower active power loss and greater power supply capacity. Although the number of switch operations has increased, the system performance has significantly improved, meeting the requirements for improving system economy and safety. It has promoting effects on the sustainable development of future power systems.","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"208 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141553259","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

Frequency stability of new energy power systems based on VSG adaptive energy storage coordinated control strategy 基于 VSG 自适应储能协调控制策略的新能源电力系统频率稳定性

Energy Informatics Pub Date : 2024-07-04 DOI: 10.1186/s42162-024-00359-7

Min Cheng, Wenlin Yan, Dan Zhang, Xufei Liu, Lei He, Mingyu Xu, Qiang Yao

{"title":"Frequency stability of new energy power systems based on VSG adaptive energy storage coordinated control strategy","authors":"Min Cheng, Wenlin Yan, Dan Zhang, Xufei Liu, Lei He, Mingyu Xu, Qiang Yao","doi":"10.1186/s42162-024-00359-7","DOIUrl":"10.1186/s42162-024-00359-7","url":null,"abstract":"<div><p>A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the oscillation problem caused by new energy units. By simulating the characteristics of synchronous generators, the inertia level of the new energy power system was enhanced, and frequency stability optimization was achieved. This strategy is integrated with the frequency response model of the new energy power system to improve the system's frequency regulation capability and achieve more stable and efficient operation. From the results, the damping of the system increased, the oscillation frequency decreased after a duration of about 15 s, and the system stability improved by 76.09%. The proposed strategy based on virtual synchronous generator adaptive energy storage coordination control strategy was improved by 83.25%. In addition, the proposed strategy has improved stability indicators and system completion efficiency by 40.57% and 22.21% respectively, both of which are better than the comparative strategies. As a result, this strategy significantly enhances the frequency regulation capability of the system, which has a positive effect on achieving efficient operation of the new energy power system and maintaining the stability of the power system.</p></div>","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1186/s42162-024-00359-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141553069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of energy combined thermal comfort in intelligent building management in complex environments 在复杂环境下的智能楼宇管理中应用能源综合热舒适技术

Energy Informatics Pub Date : 2024-07-03 DOI: 10.1186/s42162-024-00355-x

Xiaoyu Wang

{"title":"Application of energy combined thermal comfort in intelligent building management in complex environments","authors":"Xiaoyu Wang","doi":"10.1186/s42162-024-00355-x","DOIUrl":"https://doi.org/10.1186/s42162-024-00355-x","url":null,"abstract":"The efficient operation of heating ventilation and air conditioning systems relies on advanced control strategies. However, current control methods are often limited by issues such as uncertain system parameter information and spatial coupling constraints related to the supply rate of the air supply fan. To this end, an energy joint thermal comfort management method for complex environments in multiple regions is proposed. The long-term total cost minimization of the system is established, and then the Lyapunov optimization technology is used to design the distributed control algorithm. Simulation validation shows that the proposed method reduces the energy cost by an average of 11.24% compared to other methods with a thermal discomfort cost coefficient of 0. The average temperature deviation in the area is improved by 0.15 °C and 0.68 °C, respectively. The method saves more than 10% of the total energy cost under different thermal perturbations with an average total temperature deviation of 0.04 °C. The results indicate that the proposed energy joint thermal comfort management method can flexibly balance energy costs and user thermal comfort without knowing any prior information of system parameters, which can also greatly protect user privacy information. This method has application value in the control of heating ventilation and air conditioning systems in complex environments such as commercial buildings.","PeriodicalId":538,"journal":{"name":"Energy Informatics","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141553258","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