Energy Conversion and Economics最新文献_第9页

Combined use of long short-term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices 长短期记忆神经网络与量子计算相结合的区位边际价格分层预测

Energy Conversion and Economics Pub Date : 2025-02-27 Epub Date: 2025-02-17 DOI: 10.1049/enc2.70004

Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

{"title":"Combined use of long short-term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices","authors":"Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu","doi":"10.1049/enc2.70004","DOIUrl":"10.1049/enc2.70004","url":null,"abstract":"Accurate locational marginal price forecasting (LMPF) is crucial for the efficient allocation of resources. Nevertheless, the sudden changes in LMP make it inadequate for many existing long short-term memory (LSTM) network-based prediction models to achieve the required accuracy for practical applications. This study adopts a hierarchical method of three layers based on double quantum-inspired grey wolf optimisation (QGWO) to improve the LSTM model (HD-QGWO-LSTM) for a one-step LMPF. The top layer completes the data processing. The middle layer is a QGWO-optimised support vector machine (SVM) for classifing whether LMPs are price spikes. The bottom laver is a double QGWO-improved LSTM (QGWO-LSTM) model for a real LMPF, where one QGWO-LSTM is for the spike LMPF and the other is for the non-spike LMPF. To address the issue of excessively long training times during the design of the LSTM network structure and parameter selection, a QGWO algorithm is proposed and used to optimise four LSTM parameters. The simulation results on the New England electricity market show that the HD-QGWO-LSTM method achieves similar prediction accuracy to other four LSTM-based methods. The results also validate that the QGWO algorithm significantly reduces time consumption while ensuring optimisation effectiveness when optimising SVM and LSTM.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 1","pages":"26-38"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70004","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513713","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 Stackelberg game-based model for low-carbon scheduling of commercial building loads considering lifecycle unit carbon-emission factors 考虑全生命周期单位碳排放因素的商业建筑负荷低碳调度Stackelberg模型

Energy Conversion and Economics Pub Date : 2025-02-27 Epub Date: 2025-02-16 DOI: 10.1049/enc2.70000

Qifeng Huang, Zhong Zhuang, Meimei Duan, Shihai Yang, Ju Sheng, Yixuan Huang

{"title":"A Stackelberg game-based model for low-carbon scheduling of commercial building loads considering lifecycle unit carbon-emission factors","authors":"Qifeng Huang, Zhong Zhuang, Meimei Duan, Shihai Yang, Ju Sheng, Yixuan Huang","doi":"10.1049/enc2.70000","DOIUrl":"10.1049/enc2.70000","url":null,"abstract":"The accelerated growth of smart cities and the intensifying impact of climate change have introduced new demands for low-carbon commercial buildings. The majority of existing low-carbon scheduling methods for commercial buildings focus on operational carbon emissions embedded in consumed electricity from the electricity network without a lifecycle perspective, resulting in the underestimation of the carbon emissions of consumed electricity. This article proposes a Stackelberg game model for low-carbon scheduling of commercial building loads. In this model, the lifecycle unit carbon-emission factors are calculated and then transferred to commercial buildings employing the carbon-emission flow method. Subsequently, a low-carbon scheduling model considering the carbon transaction, demand response, and thermal comfort is established for commercial building loads. Finally, the Stackelberg game model is implemented to determine the interaction between commercial buildings and the electricity network. The case study indicates that approximately 23% of indirect carbon emissions from electricity used in commercial buildings originate from the extraction, construction, transportation, demolition, and recycling stage, while approximately 77% occur during the operation stage.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 1","pages":"39-53"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70000","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513695","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

Regulation of parallel converters based AC microgrid considering non-ideal grid conditions 考虑非理想电网条件的并联变流器交流微电网调节

Energy Conversion and Economics Pub Date : 2025-02-27 Epub Date: 2025-02-11 DOI: 10.1049/enc2.70001

Kripa Tiwari, Bhim Singh

{"title":"Regulation of parallel converters based AC microgrid considering non-ideal grid conditions","authors":"Kripa Tiwari, Bhim Singh","doi":"10.1049/enc2.70001","DOIUrl":"10.1049/enc2.70001","url":null,"abstract":"This study proposes an alternating current microgrid that integrates renewable energy sources to enhance energy sustainability. In this system, wind and solar power are initially converted to DC using DC–DC converters; subsequently, they are integrated into a common AC bus through parallel voltage source converters. The goal is to provide uninterrupted power to local loads while addressing power quality issues and efficiently managing power flow within the system. The main contribution of this study is the development of a unified power flow strategy that ensures reliable power delivery by considering peak and off-peak electricity pricing, as well as the battery state of charge for optimised grid and storage utilisation. Moreover, when the power electronics circuitry is integrated with renewable energy sources, the grid encounters power quality issues at the point of common coupling. Therefore, to mitigate power quality issues at the point of common coupling, particularly with power electronics integration, a frequency-locked loop based on an amplitude integrator, coupled with a harmonic decoupling network, is used to extract the fundamental components of the grid voltage and reduce harmonic distortion. The proposed topology and control strategies are validated through laboratory testing using a hardware prototype, with the test results demonstrating their effectiveness.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 1","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513693","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

Characterising the resilience of electro–hydrogen coupled system via convex hull estimation 利用凸壳估计表征电氢耦合系统的弹性

Energy Conversion and Economics Pub Date : 2025-02-27 Epub Date: 2025-02-14 DOI: 10.1049/enc2.70002

Siyuan Chang, Gengyin Li, Tiance Zhang, Ming Zhou, Qiteng Hong, Jianxiao Wang

{"title":"Characterising the resilience of electro–hydrogen coupled system via convex hull estimation","authors":"Siyuan Chang, Gengyin Li, Tiance Zhang, Ming Zhou, Qiteng Hong, Jianxiao Wang","doi":"10.1049/enc2.70002","DOIUrl":"10.1049/enc2.70002","url":null,"abstract":"Frequent outbreaks of severe natural disasters underscore the importance of power system resilience. With high efficiency and rapid response, hydrogen energy can enhance power system resilience during such incidents. Traditional post-event resilience assessment methods, which are event-triggered, focus on a single indicator, leading to an ambiguous portrayal of the power capacity of coupled systems. To address this limitation, based on a two-stage electro–hydrogen coupled model, the concept of electro–hydrogen coupled region (EHCR) is proposed to illustrate the potential relationships between resilience indicators, exploring the accurate power capacity of the coupled system to critical loads during extreme events. The convex hull estimation is employed to determine the EHCR. A max–min diagnostic model is introduced as the convergence criterion for resilience margins. An external cutting-plane algorithm is developed to interactively obtain the EHCR by progressively eliminating non-capacity regions of the current space based on the diagnostic model. The efficacy of the proposed methods is validated through case studies based on an IEEE 30-bus and Belgium 20-node coupled system under ice disaster scenarios.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 1","pages":"13-25"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513445","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 distributed model-free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics 广泛集成光伏的分布式无模型自适应电压控制算法

Energy Conversion and Economics Pub Date : 2025-02-27 Epub Date: 2025-02-14 DOI: 10.1049/enc2.70003

Baoye Tian, Zhifei Guo, Baorong Zhou, Lijuan Fan, Zhuoming Deng, Yongjie Zhang, Zuowei You, Lingxue Lin

{"title":"A distributed model-free adaptive voltage control algorithm for distribution systems with extensive integration of photovoltaics","authors":"Baoye Tian, Zhifei Guo, Baorong Zhou, Lijuan Fan, Zhuoming Deng, Yongjie Zhang, Zuowei You, Lingxue Lin","doi":"10.1049/enc2.70003","DOIUrl":"10.1049/enc2.70003","url":null,"abstract":"The widespread integration of photovoltaics (PVs) presents significant challenges to the operation and control of distribution systems, particularly in maintaining voltage stability at nodes with PV connections. To address these challenges, this paper proposes a voltage control algorithm based on distributed model-free adaptive control (MFAC). The control objective is to achieve real-time reactive-power-voltage coordination under constraints including PV power output limitations, voltage safety ranges, and the communication network topology. The proposed method estimates dynamic linearization parameters that represent the voltage control characteristics of the distribution systems by utilizing real-time data from distributed PVs and enabling communication between adjacent nodes. Rather than relying on a precise network model, the algorithm achieves robust voltage control by estimating these parameters from historical and real-time sampling data, employing a data-driven approach to iteratively update control strategies. Multi-scenario simulations of a 32-bus power system demonstrated the effectiveness and robustness of the algorithm across diverse operating conditions.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"6 1","pages":"54-63"},"PeriodicalIF":0.0,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.70003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143513446","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}

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Energy Conversion and Economics Pub Date : 2025-02-17

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Energy Conversion and Economics Pub Date : 2025-02-16

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Energy Conversion and Economics Pub Date : 2025-02-14

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Energy Conversion and Economics Pub Date : 2025-02-14

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Energy Conversion and Economics Pub Date : 2025-02-11

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