Energy Conversion and Economics最新文献_第4页

Distributed optimization for joint peer-to-peer electricity and carbon trading among multi-energy microgrids considering renewable generation uncertainty 考虑到可再生能源发电的不确定性，在多能源微电网间进行点对点电力和碳交易的分布式优化

Energy Conversion and Economics Pub Date : 2024-03-21 DOI: 10.1049/enc2.12110

Hui Hou, Zhuo Wang, Bo Zhao, Leiqi Zhang, Ying Shi, Changjun Xie, ZhaoYang Dong, Keren Yu

{"title":"Distributed optimization for joint peer-to-peer electricity and carbon trading among multi-energy microgrids considering renewable generation uncertainty","authors":"Hui Hou, Zhuo Wang, Bo Zhao, Leiqi Zhang, Ying Shi, Changjun Xie, ZhaoYang Dong, Keren Yu","doi":"10.1049/enc2.12110","DOIUrl":"10.1049/enc2.12110","url":null,"abstract":"The increasing penetration of renewable energy and the further coupling of the electricity and carbon markets have hindered the realization of efficient and low-carbon transformation processes in new power systems. This study addresses the optimization problems of joint peer-to-peer (P2P) electricity and carbon trading in multi-energy microgrids (MEMGs), taking into account the risks associated with renewable generation in a distributed manner. First, a coordinated operation model is developed to describe the joint P2P electricity and carbon trading issues among MEMGs, aiming to minimize operating costs, mitigate potential risk losses, and reduce renewable energy wastage. Second, the conditional value-at-risk technique, paired with stochastic programming, is employed to quantify potential risk losses arising from uncertainties. Finally, a distributed optimization approach is developed based on the alternating direction method of multipliers to maintain the privacy and independence of decision-making in individual MEMGs. During the trading processes, the Lagrangian multipliers are used as price signals to ensure fairness in optimal trading schemes among MEMGs. Moreover, a parallel solution mechanism is implemented to improve overall operational efficiency with minimal calculation expenditure. The simulation results demonstrate that the proposed method can reduce operation costs and carbon emissions while also preventing a significant amount of renewable energy abandonment.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 2","pages":"116-131"},"PeriodicalIF":0.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140220739","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

Solving differential-algebraic equations in power system dynamic analysis with quantum computing 用量子计算求解电力系统动态分析中的微分代数方程

Energy Conversion and Economics Pub Date : 2024-02-29 DOI: 10.1049/enc2.12107

Huynh T. T. Tran, Hieu T. Nguyen, Long T. Vu, Samuel T. Ojetola

{"title":"Solving differential-algebraic equations in power system dynamic analysis with quantum computing","authors":"Huynh T. T. Tran, Hieu T. Nguyen, Long T. Vu, Samuel T. Ojetola","doi":"10.1049/enc2.12107","DOIUrl":"https://doi.org/10.1049/enc2.12107","url":null,"abstract":"Power system dynamics are generally modeled by high dimensional nonlinear differential-algebraic equations (DAEs) given a large number of components forming the network. These DAEs' complexity can grow exponentially due to the increasing penetration of distributed energy resources, whereas their computation time becomes sensitive due to the increasing interconnection of the power grid with other energy systems. This paper demonstrates the use of quantum computing algorithms to solve DAEs for power system dynamic analysis. We leverage a symbolic programming framework to equivalently convert the power system's DAEs into ordinary differential equations (ODEs) using index reduction methods and then encode their data into qubits using amplitude encoding. The system nonlinearity is captured by Hamiltonian simulation with truncated Taylor expansion so that state variables can be updated by a quantum linear equation solver. Our results show that quantum computing can solve the power system's DAEs accurately with a computational complexity polynomial in the logarithm of the system dimension. We also illustrate the use of recent advanced tools in scientific machine learning for implementing complex computing concepts, that is, Taylor expansion, DAEs/ODEs transformation, and quantum computing solver with abstract representation for power engineering applications.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 1","pages":"40-53"},"PeriodicalIF":0.0,"publicationDate":"2024-02-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12107","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139993995","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

DC fast charging stations for electric vehicles: A review 电动汽车直流快速充电站：综述

Energy Conversion and Economics Pub Date : 2024-02-28 DOI: 10.1049/enc2.12111

Vikram Sawant, Pallavi Zambare

引用次数: 0

Fault recovery strategy for urban distribution networks using soft open points 使用软开放点的城市配电网络故障恢复策略

Energy Conversion and Economics Pub Date : 2024-02-27 DOI: 10.1049/enc2.12109

Liangsheng Lan, Guangqi Liu, Sitong Zhu, Min Hou, Xinrui Liu

{"title":"Fault recovery strategy for urban distribution networks using soft open points","authors":"Liangsheng Lan, Guangqi Liu, Sitong Zhu, Min Hou, Xinrui Liu","doi":"10.1049/enc2.12109","DOIUrl":"https://doi.org/10.1049/enc2.12109","url":null,"abstract":"In recent years, the frequent occurrence of natural disasters has seriously threatened the security and stability of distribution networks. Amidst these natural disasters, researchers have increasingly focused on ensuring fault recovery in distribution networks. Soft open points (SOPs) are new types of power electronic devices that can effectively recover faults in distribution networks. When a fault occurs, SOPs can quickly block and isolate fault short-circuit current, provide power access to non-fault areas, and optimise the power flow of distribution networks. Based on the critical role of distributed generation (DG) power supply in fault recovery, this study proposes a method that leverages the synergistic capabilities of SOPs and DG to recover faults in distribution networks. By employing a binary particle swarm optimisation algorithm, this method effectively improves load recovery, reduces the number of switching operations, and minimises network loss. The proposed method was simulated and verified using the IEEE 33-node and 99-node systems.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 1","pages":"28-39"},"PeriodicalIF":0.0,"publicationDate":"2024-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12109","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139994019","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 comprehensive modeling framework for coupled electricity and carbon markets 电力与碳市场耦合的综合建模框架

Energy Conversion and Economics Pub Date : 2024-02-24 DOI: 10.1049/enc2.12108

Wenxuan Liu, Binghao He, Yusheng Xue, Jie Huang, Junhua Zhao, Fushuan Wen

{"title":"A comprehensive modeling framework for coupled electricity and carbon markets","authors":"Wenxuan Liu, Binghao He, Yusheng Xue, Jie Huang, Junhua Zhao, Fushuan Wen","doi":"10.1049/enc2.12108","DOIUrl":"https://doi.org/10.1049/enc2.12108","url":null,"abstract":"The carbon market plays a critical role in promoting the transition toward renewable energy sources and reducing greenhouse gas emissions in the electricity generation and transmission. Extant research has overlooked the dynamic bilateral causality that exists between electricity and carbon markets. Moreover, these studies have frequently treated the macroeconomic effect as exogenous. To bridge this research gap, this paper presents a holistic modeling framework that comprehensively captures the intertwined nature of electricity and carbon markets and their concomitant interactions with the overarching economy. The suggested modeling framework is an integration of three principal modules, namely, a carbon market, an electricity market, and economic system. This synergistic blend provides an exhaustive understanding of the entire market operation cycle. It offers detailed clearance rules, and most importantly, it adopts a macroeconomic systematic modeling approach for evaluating the impact emanating from the interconnected electricity and carbon markets. To illustrate the practicality and effectiveness of the proposed approach, a case study anchored on empirical data sourced from the electricity and carbon markets in China is conducted. The empirical findings underscore the fact that incorporating a green certificate market into the modeling framework can precipitate a reduction in greenhouse gas emissions. Additionally, the results indicate that expanding the scale of the green certificate market from 1.9% in 2021 to 33% by 2023 will increase the generation of green electricity by 10%.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 1","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12108","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139993908","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

Long-term scenario generation of renewable energy generation using attention-based conditional generative adversarial networks 利用基于注意力的条件生成式对抗网络生成可再生能源发电的长期方案

Energy Conversion and Economics Pub Date : 2024-02-20 DOI: 10.1049/enc2.12106

Hui Li, Haoyang Yu, Zhongjian Liu, Fan Li, Xiong Wu, Binrui Cao, Cheng Zhang, Dong Liu

{"title":"Long-term scenario generation of renewable energy generation using attention-based conditional generative adversarial networks","authors":"Hui Li, Haoyang Yu, Zhongjian Liu, Fan Li, Xiong Wu, Binrui Cao, Cheng Zhang, Dong Liu","doi":"10.1049/enc2.12106","DOIUrl":"https://doi.org/10.1049/enc2.12106","url":null,"abstract":"Long-term scenario generation of renewable energy is regarded as an important part of the optimal planning of renewable energy systems. This study proposes a scenario generation method for generating long-term correlated scenarios of wind and photovoltaic outputs from historical renewable energy data. The generation of scenarios was divided into two processes: long-term yearly sequence generation and intraday scenario generation of wind-solar energy. In the long-term yearly sequence generation process, the k-means clustering algorithm and Markov chain Monte Carlo simulation method were developed to capture the seasonal and long-term features of wind and photovoltaic energies. Furthermore, an attention-based conditional generative adversarial network (ACGAN) was proposed to capture short-term features. An attention structure and conditional classifiers were developed to capture features in the generated scenarios. To accelerate the convergence process and improve the quality of the generated scenarios, a gradient penalty was included in the ACGAN model. Numerical case studies were conducted to verify the validity of the proposed method using a real-world dataset.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"5 1","pages":"15-27"},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139993920","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

Edge computing and hybrid control technology for microgrids based on activity on edge networks 基于边缘网络活动的微电网边缘计算和混合控制技术

Energy Conversion and Economics Pub Date : 2023-12-14 DOI: 10.1049/enc2.12103

Haiqi Zhao, Yongqing Zhu, Kaicheng Lu, Qingsheng Li, Zhen Li, Shufeng Dong

{"title":"Edge computing and hybrid control technology for microgrids based on activity on edge networks","authors":"Haiqi Zhao, Yongqing Zhu, Kaicheng Lu, Qingsheng Li, Zhen Li, Shufeng Dong","doi":"10.1049/enc2.12103","DOIUrl":"10.1049/enc2.12103","url":null,"abstract":"Edge-side services provide new ideas for microgrid operational control, but as the microgrid control structure becomes increasingly large, the cost of configuring edge-side services also grows. In this context, it is necessary to find a modelling approach that can unify the mathematical models involved in microgrid control systems. First, a microgrid control structure with edge-computing services based on hybrid control theory is proposed, which can exploit the hybrid characteristics of the microgrid control and reduce the amounts of communication using event-triggered technology. Then, a hybrid control modelling method based on activity-on-edge networks is proposed, along with a standardised control strategy configuration method. The texts entered by the configurator can be parsed in an intuitive way. Complex control strategies can be configured with low-code input while improving the reliability of the strategies. Finally, a distributed control strategy for DC microgrids was studied and modelled using the hybrid control modelling approach based on activity-on-edge networks. The superiority of edge-computing services based on hybrid control theory and event-triggered technology in reducing communication and improving control in real time is demonstrated through the case study.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 6","pages":"387-400"},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12103","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138971216","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

Metaverse-based decentralised autonomous organisation in energy systems 能源系统中基于元网的分散式自治组织

Energy Conversion and Economics Pub Date : 2023-12-14 DOI: 10.1049/enc2.12104

Huan Zhao, Junhua Zhao, Wenxuan Liu, Yong Yan, Jianwei Huang, Fushuan Wen

{"title":"Metaverse-based decentralised autonomous organisation in energy systems","authors":"Huan Zhao, Junhua Zhao, Wenxuan Liu, Yong Yan, Jianwei Huang, Fushuan Wen","doi":"10.1049/enc2.12104","DOIUrl":"10.1049/enc2.12104","url":null,"abstract":"Developing renewable energy generation (REG)-rich power systems could contribute to achieving carbon neutrality. To ensure the secure and economic operation of power systems with high penetration of renewable energy, it is necessary to solve the problem of inefficient utilisation of demand-side resources by the current electricity market mechanism. The metaverse, an emerging technology attracting widespread attention, is expected to efficiently solve this problem. The metaverse can be regarded as a virtual-real interactive economic system built on advanced technologies such as blockchain, artificial intelligence, extended reality, avatars, and decentralised autonomous organisations (DAO). This paper first briefly introduces the concept, architecture, technologies, and features of the metaverse. Then, a metaverse-based DAO for energy systems is proposed and the corresponding business model is explored. The Energy DAO utilises algorithms and user consensus combined with smart contracts to solidify organisational operation rules. In this way, it organises users to directly participate in multiple types of electricity markets and carbon markets, as well as behavioural data production and transactions. Finally, an Energy DAO example for demand-side sources demonstrates how the Energy DAO could solve the problems of information asymmetry, information opacity, and incentive incompatibility in electricity market mechanisms.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 6","pages":"379-386"},"PeriodicalIF":0.0,"publicationDate":"2023-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12104","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138972749","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

Battery Doctor - next generation battery health assessment: Definition, approaches, challenges and opportunities 电池医生--下一代电池健康评估：定义、方法、挑战和机遇

Energy Conversion and Economics Pub Date : 2023-12-14 DOI: 10.1049/enc2.12105

Zhao Yang Dong, Zhijun Zhang, Rui Zhang, Tianjing Wang

引用次数: 0

Dynamic impedance model based two-stage customized charging–navigation strategy for electric vehicles 基于动态阻抗模型的电动汽车两阶段定制充电导航策略

Energy Conversion and Economics Pub Date : 2023-11-29 DOI: 10.1049/enc2.12102

Chenlin Ji, Qiming Yang, Jiayu Wu, Xinyang Zhou, Leyao Cong, Dengke Gu, Youbo Liu

{"title":"Dynamic impedance model based two-stage customized charging–navigation strategy for electric vehicles","authors":"Chenlin Ji, Qiming Yang, Jiayu Wu, Xinyang Zhou, Leyao Cong, Dengke Gu, Youbo Liu","doi":"10.1049/enc2.12102","DOIUrl":"https://doi.org/10.1049/enc2.12102","url":null,"abstract":"With the continuously increasing penetration of electric vehicles (EVs), the mutual match between the distribution of charging resources and the spatial–temporal distribution of EV charging demands is becoming increasingly important. To address this, this paper proposes a novel two-stage customized EV charging–navigation strategy. Building on previous research on the real-time information from dynamic traffic networks, a personalized dynamic road impedance (PDRI) model is built to transform three main criteria (distance, time, and finance) affecting charging–navigation into comprehensive road impedance. In the first navigation stage, fast-charging stations (FCSs) with the lowest overall objective are selected. In the second navigation stage, an improved Floyd–Warshall algorithm is utilized to identify the routes with the lowest personalized weight to the selected FCS in the PDRI model. Notably, the personalized preferences of EV drivers for the three primary criteria are considered in both stages of the navigation process. Finally, simulation results demonstrate a significant improvement in the degree of matching between charging navigation plans and drivers' personalized requirements, and a more balanced spatial–temporal distribution of EV charging demands among FCSs, which verifies the effectiveness of the proposed strategy.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 6","pages":"401-416"},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12102","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139047614","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