Distributed Generation & Alternative Energy Journal最新文献

Stochastic Model Predictive Control Based on Polynomial Chaos Expansion With Application to Wind Energy Conversion Systems 基于多项式混沌展开的随机模型预测控制在风能转换系统中的应用

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.39310

Gang Liu, Huiming Zhang

{"title":"Stochastic Model Predictive Control Based on Polynomial Chaos Expansion With Application to Wind Energy Conversion Systems","authors":"Gang Liu, Huiming Zhang","doi":"10.13052/dgaej2156-3306.39310","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.39310","url":null,"abstract":"The wind energy conversion system (WECS) has a complex structure, and its state space model is highly nonlinear. Due to the random uncertainty of wind speed, it poses a huge challenge to achieve optimal control tasks and ensure the safe and stable operation of the system. Therefore, this article proposes a stochastic model predictive control strategy based on Polynomial Chaotic Expansion (PCE), which achieves the control tasks of MPPT and constant power regions in wind energy conversion systems. Firstly, a simple algorithm is proposed to obtain a set of basis functions that are suitable for the stochastic variable wind speed. Then, the obtained basis functions are used to propagate the uncertainty of the original uncertain differential equation of the wind energy conversion system through polynomial chaotic expansion. Combining the operating region and constraint conditions of the wind energy conversion system, the original stochastic uncertainty problem is transformed into a deterministic convex optimization problem. Using NREL 5MW wind turbine as the research object for simulation, the task of capturing maximum wind energy in MPPT area and tracking rated power points in constant power area was achieved. The experimental results show that the proposed control method can effectively improve the wind energy capture capability and achieve accurate tracking of output power to rated power.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141832249","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

KWH Cost Analysis of Energy Storage Power Station Based on Changing Trend of Battery Cost 基于电池成本变化趋势的储能电站千瓦时成本分析

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3933

Jie Huang, Rong Nie, Zhenyu Zhao, Yan Wang

{"title":"KWH Cost Analysis of Energy Storage Power Station Based on Changing Trend of Battery Cost","authors":"Jie Huang, Rong Nie, Zhenyu Zhao, Yan Wang","doi":"10.13052/dgaej2156-3306.3933","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3933","url":null,"abstract":"Energy storage plays a vital role in enhancing the resilience of the power grid. Utilizing typical capacity and power energy storage application scenarios, coupled with industry research data and technical analysis of energy storage, this study calculates the cost of energy storage per kilowatt-hour and the associated mileage cost. The findings indicate that the current cost per kilowatt-hour of electrochemical energy storage ranges from approximately 0.6 to 0.9 yuan/(kW⋅h), revealing a considerable gap between the target cost for widespread application and the range of 0.3 to 0.4 yuan/(kW⋅h). Therefore, the development of energy storage technologies (EST) should prioritize achieving “low cost, long life, high safety, and easy recycling,” taking into account a comprehensive assessment of system manufacturing, system lifespan, system safety, and recycling. This paper delves into the changing trend of battery costs and their impact on kilowatt-hours, presenting strategic suggestions to reduce the kilowatt-hour cost of ESP stations. The research underscores that a continuous reduction in battery costs will contribute to enhancing the economic benefits of ESP stations and provide robust support for the future development of the energy storage industry.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831662","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

Study on PV Power Prediction Based on VMD-IGWO-LSTM 基于 VMD-IGWO-LSTM 的光伏功率预测研究

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3936

Zhiwei Xu, Kexian Xiang, Bin Wang, Xianguo Li

引用次数: 0

Research on Electricity Balance and Measurement Optimization of New Energy Power System Considering Renewable Energy Consumption Mechanism 考虑可再生能源消纳机制的新能源电力系统电力平衡与计量优化研究

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3935

Zhihao Guo, Yongzhi Cai, Sheng Huang, Zeming Jiang, KeFei Guan

{"title":"Research on Electricity Balance and Measurement Optimization of New Energy Power System Considering Renewable Energy Consumption Mechanism","authors":"Zhihao Guo, Yongzhi Cai, Sheng Huang, Zeming Jiang, KeFei Guan","doi":"10.13052/dgaej2156-3306.3935","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3935","url":null,"abstract":"With the rapid development of renewable energy, the new energy power system is facing the challenge of large-scale grid connection and consumption of renewable energy. In order to achieve efficient utilization and stable power supply of renewable energy, this study proposes a renewable energy consumption mechanism based on optimization methods. By establishing a power and electricity balance model, consider the relationship between different types of renewable energy generation and electricity demand. Various optimization strategies have been proposed for energy consumption issues in different scenarios, including power generation scheduling, energy storage optimization, and flexible load management. Validate the effectiveness of the proposed mechanism in terms of electricity balance and metering optimization through a model. The experimental results indicate that this mechanism can effectively enhance the renewable energy consumption capacity of the new energy power system, reduce energy waste, promote energy cleanliness and sustainable development, and has certain theoretical and practical significance for promoting the sustainable development of the new energy power system and responding to energy transformation.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141832083","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

Superimposed Positive Sequence Impedance for Detecting Unintentional Islanding in Microgrid 用于检测微电网无意孤岛的叠加正序阻抗

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3938

Indradeo Pratap Bharti, N. Singh, Om Hari Gupta, Asheesh Kumar Singh, Vijay K. Sood

{"title":"Superimposed Positive Sequence Impedance for Detecting Unintentional Islanding in Microgrid","authors":"Indradeo Pratap Bharti, N. Singh, Om Hari Gupta, Asheesh Kumar Singh, Vijay K. Sood","doi":"10.13052/dgaej2156-3306.3938","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3938","url":null,"abstract":"Incorporation of environmentally friendly energy sources (RESs) into the electricity grid has many benefits, including economic, technological, and environmental. However, excessive renewable energy sources (RES) in the power grid provide technical problems, including equipment protection, DG operation, and islanding detection. One of the most serious challenges is the islanding phenomenon. Islanding can cause several problems, such as frequency instability and voltage fluctuations resulting in damage to electrical equipment or threatening utility workers who may be working/accessing the equipment. This research proposes an efficient islanding detection algorithm to lessen the impact of such threats. This novel passive islanding detection scheme is based on superimposed positive sequence impedance (SPSI). For calculating the superimposed positive sequence impedance (SPSI), the voltage and current signals are obtained from targeted DG points. The scheme’s performance is tested on multiple bus systems across islanding and non-islanding conditions using a MATLAB/Simulink environment. It is shown that even in the presence of noise, the algorithm can determine an islanding decision with high accuracy and a short detection time of 84 ms. In comparison to other algorithms, it operates at zero power mismatch (ZPM) and does not affect power quality.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831853","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

Load Frequency Control Strategy of Interconnected Power System Based on Tube DMPC 基于管式 DMPC 的互联电力系统负载频率控制策略

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.39311

Xinshan Wang

{"title":"Load Frequency Control Strategy of Interconnected Power System Based on Tube DMPC","authors":"Xinshan Wang","doi":"10.13052/dgaej2156-3306.39311","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.39311","url":null,"abstract":"Solar thermal power generation shares technical characteristics with traditional thermal power generation. This enables rapid adjustment of turbine generator output to meet the demands of the power grid load for frequency modulation. However, fluctuations in light intensity lead to variations in interconnected power system parameters, posing challenges for load frequency control (LFC). In this study, we propose a Robust Distributed Model Predictive Control (RDMPC) method. This method achieves system trajectory tracking by solving the nominal system optimization problem. It also flexibly adjusts the weights of different Tube models to determine the optimal control law using the standard Tube online combination with various gain values. Additionally, we incorporate the states of adjacent areas into the feedback control law to achieve effective coordination between these areas. Using MATLAB/Simulink, we simulated the power system in two areas. Compared to standard Tube DMPC, our proposed algorithm effectively mitigates the impact of light intensity, enhances adjustment speed, reduces frequency fluctuation, and demonstrates superior control effectiveness.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831623","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 on Environmental Performance and Measurement of Smart City Power Supply Based on Non Radial Network DEA 基于非径向网络 DEA 的智慧城市供电环境绩效与测量研究

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3934

Ying Sun, Jiajia Huang, Fusheng Wei, Yanzhe Fu, LiangZhao He

{"title":"Research on Environmental Performance and Measurement of Smart City Power Supply Based on Non Radial Network DEA","authors":"Ying Sun, Jiajia Huang, Fusheng Wei, Yanzhe Fu, LiangZhao He","doi":"10.13052/dgaej2156-3306.3934","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3934","url":null,"abstract":"The continuous development of smart cities has put forward higher requirements for the supply of power systems. In response to the constraints in the environmental performance and measurement of smart city power supply, this paper proposes a research model for smart city power supply environmental performance and measurement based on non-radial network DEA based on the characteristics of DEA model and distance function. This model can combine different stages of power supply to conduct more reasonable statistics and analysis of efficiency in different regions. In addition, correlation coefficients were analyzed for the impact of efficiency factors on the phase ratio in the production and sales stages of the power supply system. The research results indicate that there is a positive correlation between the output value and power generation of electricity sales and the efficiency of the electricity sales stage, with correlation coefficients of 0.57 and 0.092, respectively; The length of newly added lines, capacity of new equipment, and line loss rate are all negatively correlated with their efficiency, with correlation coefficients of −0.42, −0.12, and −0.46, respectively. Based on the above analysis, this study provides more theoretical support for the study of environmental performance and measurement of smart city power supply.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831703","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

Analysis of Power Grid User Behavior Based on Data Mining Algorithms – System Design and Implementation 基于数据挖掘算法的电网用户行为分析 - 系统设计与实施

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3937

Yan Wang, Jiawei Xu, Xiaowen Chen, Ying Huang

{"title":"Analysis of Power Grid User Behavior Based on Data Mining Algorithms – System Design and Implementation","authors":"Yan Wang, Jiawei Xu, Xiaowen Chen, Ying Huang","doi":"10.13052/dgaej2156-3306.3937","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3937","url":null,"abstract":"A data mining based power grid user behavior analysis system has been designed to address the issues of insufficient stability and accuracy in existing power grid user behavior analysis systems. Design the overall structure of the power grid user behavior analysis system; In terms of system hardware design, select a core controller, build and install a server as the foundation for system information transmission and logical operation; Based on ZigBee wireless communication technology, a ZigBee wireless communication protocol stack and communication expansion board were designed; In terms of system software design, Python is used to crawl user behavior data in the system data collection layer, and Python language is used to maintain the crawling program; Use the K-means algorithm to perform secondary mining and clustering on power grid user behavior data, obtain the analysis results of power grid user behavior, and transmit them to the system visualization display layer. The weight and Rand coefficient of data analysis were used as indicators to test the application effect of the method in this paper. The experimental results showed that the system can stably and accurately analyze the behavior of power grid users, and has good application effect. This research achievement has important reference significance for the research in the field of power grid user behavior analysis in the world scientific community.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831263","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

Two-Input Single-Output Boost Converter with Fault Tolerant Operation 具有容错操作功能的双输入单输出升压转换器

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3939

K. Karishma, A. Sivaprasad, Nithin Raj

{"title":"Two-Input Single-Output Boost Converter with Fault Tolerant Operation","authors":"K. Karishma, A. Sivaprasad, Nithin Raj","doi":"10.13052/dgaej2156-3306.3939","DOIUrl":"https://doi.org/10.13052/dgaej2156-3306.3939","url":null,"abstract":"The need for multi-input DC-DC converters is highly demanded in the context of the integration of different energy sources. When integrating several energy sources, such as batteries, solar PV arrays, fuel cells, etc., multi-input DC-DC converters preferred over multiple single-input DC-DC converters. The vast majority of MISO converters in use today only have one mode of operation, which is conventional operation using all sources. Very few MISO topologies have been presented with fault-tolerant capability. In this work, a non-isolated two-input single-output (MISO) boost converter is investigated for low-voltage DC (LVDC) applications with fault tolerant capability. The presented converter works in three modes, such as DC sources of equal values, DC sources of unequal values, and one of the DC sources that is faulty or out of order. The converter is simulated in a MATLAB/Simulink environment and experimentally validated using a scaled prototype. The outcomes demonstrate that the converter can integrate systems with two DC energy sources, accommodates DC sources of equal values, DC sources of unequal values, and works even when one of the DC sources is faulty or out of order. This work points out that the presented MISO converter would be an apt solution for integrating varying input voltage sources with fault-tolerant capability.","PeriodicalId":11205,"journal":{"name":"Distributed Generation & Alternative Energy Journal","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831816","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 on Distribution Substation Topology Identification Methods 配电变电站拓扑识别方法研究

Distributed Generation & Alternative Energy Journal Pub Date : 2024-07-16 DOI: 10.13052/dgaej2156-3306.3932

Weidong Hu, Zhao Bo, Chen Jie

引用次数: 0

Distributed Generation &amp; Alternative Energy Journal最新文献

Distributed Generation & Alternative Energy Journal最新文献