iEnergy最新文献 - Book学术

Strength-constrained unit commitment in IBR dominant power systems IBR优势电力系统中强度约束的机组承诺

iEnergy Pub Date : 2025-06-19 DOI: 10.23919/IEN.2025.0011

Yong-Kyu Kim;Sang-Ho Lee;Gyu-Sub Lee

引用次数: 0

Enhancing operational planning of active distribution networks considering effective topology selection and thermal energy storage 考虑有效拓扑选择和热储能的有功配电网运行规划

iEnergy Pub Date : 2025-06-19 DOI: 10.23919/IEN.2025.0013

Vineeth Vijayan;Ali Arzani;Satish M. Mahajan

{"title":"Enhancing operational planning of active distribution networks considering effective topology selection and thermal energy storage","authors":"Vineeth Vijayan;Ali Arzani;Satish M. Mahajan","doi":"10.23919/IEN.2025.0013","DOIUrl":"https://doi.org/10.23919/IEN.2025.0013","url":null,"abstract":"Grid-scale energy storage systems provide effective solutions to address challenges such as supply-load imbalances and voltage violations resulting from the non-coinciding nature of renewable energy generation and peak demand incidents. While battery and hydrogen storage are commonly used for peak shaving, ice-based thermal energy storage systems (TESSs) offer a direct way to reduce cooling loads without electrical conversion. This paper presents a multi-objective planning framework that optimizes TESS dispatch, network topology, and photovoltaic (PV) inverter reactive power support to address operational issues in active distribution networks. The objectives of the proposed scheme include minimizing peak demand, voltage deviations, and PV inverter VAr dependency. The mixed-integer nonlinear programming problem is solved using a Pareto-based multi-objective particle swarm optimization (MOPSO) method. The MATLAB-OpenDSS simulations for a modified IEEE-123 bus system show a 7.1% reduction in peak demand, a 13% reduction in voltage deviation, and a 52% drop in PV inverter VAr usage. The obtained solutions confirm minimal operational stress on control devices such as switches and PV inverters. Thus, unlike earlier studies, this work combines all three strategies to offer an effective solution for the operational planning of the active distribution network.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"4 2","pages":"98-106"},"PeriodicalIF":0.0,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11045320","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323257","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

Three key policy areas in urgent need of improvement for advancing China's energy transition 推进中国能源转型亟待完善的三个关键政策领域

iEnergy Pub Date : 2025-06-19 DOI: 10.23919/IEN.2025.0014

Peng Li;Jing Zhang

引用次数: 0

How many grid-forming converters are needed? — A techno-economic perspective 需要多少台并网变流器？-技术经济视角

iEnergy Pub Date : 2025-06-19 DOI: 10.23919/IEN.2025.0012

Guoxuan Cui;Hongyang Jia;Ning Zhang;Fei Teng

引用次数: 0

Quantum-accelerated active distribution network planning based on coherent photonic quantum computers 基于相干光子量子计算机的量子加速有源配电网规划

iEnergy Pub Date : 2025-06-13 DOI: 10.23919/IEN.2025.0009

Yu Xin;Haipeng Xie;Wei Fu

{"title":"Quantum-accelerated active distribution network planning based on coherent photonic quantum computers","authors":"Yu Xin;Haipeng Xie;Wei Fu","doi":"10.23919/IEN.2025.0009","DOIUrl":"https://doi.org/10.23919/IEN.2025.0009","url":null,"abstract":"Active distribution network (ADN) planning is crucial for achieving a cost-effective transition to modern power systems, yet it poses significant challenges as the system scale increases. The advent of quantum computing offers a transformative approach to solve ADN planning. To fully leverage the potential of quantum computing, this paper proposes a photonic quantum acceleration algorithm. First, a quantum-accelerated framework for ADN planning is proposed on the basis of coherent photonic quantum computers. The ADN planning model is then formulated and decomposed into discrete master problems and continuous subproblems to facilitate the quantum optimization process. The photonic quantum-embedded adaptive alternating direction method of multipliers (PQA-ADMM) algorithm is subsequently proposed to equivalently map the discrete master problem onto a quantum-interpretable model, enabling its deployment on a photonic quantum computer. Finally, a comparative analysis with various solvers, including Gurobi, demonstrates that the proposed PQA-ADMM algorithm achieves significant speedup on the modified IEEE 33-node and IEEE 123-node systems, highlighting its effectiveness.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"4 2","pages":"107-120"},"PeriodicalIF":0.0,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11036584","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323218","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

Facilitating wide-band oscillation analysis in wind farms with a novel linearization analysis framework based on the average-value model 利用基于平均值模型的线性化分析框架促进风电场宽带振荡分析

iEnergy Pub Date : 2025-06-09 DOI: 10.23919/IEN.2025.0010

Qiufang Zhang;Yin Xu;Jinghan He

{"title":"Facilitating wide-band oscillation analysis in wind farms with a novel linearization analysis framework based on the average-value model","authors":"Qiufang Zhang;Yin Xu;Jinghan He","doi":"10.23919/IEN.2025.0010","DOIUrl":"https://doi.org/10.23919/IEN.2025.0010","url":null,"abstract":"Wide-band oscillations have become a significant issue limiting the development of wind power. Both large-signal and small-signal analyses require extensive model derivation. Moreover, the large number and high order of wind turbines have driven the development of simplified models, whose applicability remains controversial. In this paper, a wide-band oscillation analysis method based on the average-value model (AVM) is proposed for wind farms (WFs). A novel linearization analysis framework is developed, leveraging the continuous-time characteristics of the AVM and MATLAB/Simulink's built-in linearization tools. This significantly reduces modeling complexity and computational costs while maintaining model fidelity. Additionally, an object-based initial value estimation method of state variables is introduced, which, when combined with steady-state point-solving tools, greatly reduces the computational effort required for equilibrium point solving in batch linearization analysis. The proposed method is validated in both doubly fed induction generator (DFIG)-based and permanent magnet synchronous generator (PMSG)-based WFs. Furthermore, a comprehensive analysis is conducted for the first time to examine the impact of the machine-side system on the system stability of the non-fully controlled PMSG-based WF.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"4 2","pages":"132-148"},"PeriodicalIF":0.0,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11029167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323256","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

Energy-efficient and reliable urban rail transit: A new framework incorporating underground energy storage systems 节能可靠的城市轨道交通：结合地下储能系统的新框架

iEnergy Pub Date : 2025-06-03 DOI: 10.23919/IEN.2025.0008

Boyu Qin;Jialing Liu;Hongzhen Wang;Zhaojian Wang;Ziming Xiong;Mingyang Wang;Qihu Qian

引用次数: 0

Estimating the carbon emission reduction potential of using carbon-oriented demand response for data centers: A case study in China 数据中心碳导向需求响应的碳减排潜力评估：以中国为例

iEnergy Pub Date : 2025-03-24 DOI: 10.23919/IEN.2025.0007

Bojun Du;Hongyang Jia;Yaowang Li;Ershun Du;Ning Zhang;Dong Liang

{"title":"Estimating the carbon emission reduction potential of using carbon-oriented demand response for data centers: A case study in China","authors":"Bojun Du;Hongyang Jia;Yaowang Li;Ershun Du;Ning Zhang;Dong Liang","doi":"10.23919/IEN.2025.0007","DOIUrl":"https://doi.org/10.23919/IEN.2025.0007","url":null,"abstract":"The rapid advancement of artificial intelligence (AI) has significantly increased the computational load on data centers. AI-related computational activities consume considerable electricity and result in substantial carbon emissions. To mitigate these emissions, future data centers should be strategically planned and operated to fully utilize renewable energy resources while meeting growing computational demands. This paper aims to investigate how much carbon emission reduction can be achieved by using a carbon-oriented demand response to guide the optimal planning and operation of data centers. A carbon-oriented data center planning model is proposed that considers the carbon-oriented demand response of the AI load. In the planning model, future operation simulations comprehensively coordinate the temporal-spatial flexibility of computational loads and the quality of service (QoS). An empirical study based on the proposed models is conducted on real-world data from China. The results from the empirical analysis show that newly constructed data centers are recommended to be built in Gansu Province, Ningxia Hui Autonomous Region, Sichuan Province, Inner Mongolia Autonomous Region, and Qinghai Province, accounting for 57% of the total national increase in server capacity. 33% of the computational load from Eastern China should be transferred to the West, which could reduce the overall load carbon emissions by 26%.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"4 1","pages":"54-64"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10938040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688099","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

Nodal frequency-constrained energy storage planning via hybrid data-model driven methods 基于混合数据模型驱动方法的节点频率约束储能规划

iEnergy Pub Date : 2025-03-24 DOI: 10.23919/IEN.2025.0005

Jiaxin Wang;Jiawei Zhang;Min Yang;Yating Wang;Ning Zhang

{"title":"Nodal frequency-constrained energy storage planning via hybrid data-model driven methods","authors":"Jiaxin Wang;Jiawei Zhang;Min Yang;Yating Wang;Ning Zhang","doi":"10.23919/IEN.2025.0005","DOIUrl":"https://doi.org/10.23919/IEN.2025.0005","url":null,"abstract":"Cross-regional high voltage direct current (HVDC) systems bring remarkable renewable power injections to the receiver side of power grids. However, HVDC failures result in large disturbances to receivers and cause critical frequency security problems. High renewable energy penetration also reduces the system inertia and damping coefficients. Thus, some nodal frequency nadirs may be much lower than those calculated by the center-of-inertia (COI) and may trigger low-frequency protection. Energy storage is a promising solution for frequency-related problems. In this study, we build an energy storage planning model considering both COI and nodal frequency security constraints. The energy storage capacities and locations are determined in the planning scheme based on year-round operations. First, we carry out a year-round COI-frequency-constrained unit commitment to obtain comprehensive operation modes. Next, we propose a hybrid data-model driven approach to generate nodal frequency security constraints for extensive operation modes effectively. Finally, we achieve optimal energy storage planning with both COI and nodal frequency constraints. Case studies on a modified RTS-79 test system and a 1089-bus power system in practical in Jiangsu, China, verify the effectiveness of the proposed methods.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"4 1","pages":"43-53"},"PeriodicalIF":0.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10938039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143688170","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 novel carrier interleaved PWM method for four-level nested neutral-point-clamped inverters 一种新的四电平嵌套中性点箝位逆变器载波交错PWM方法

iEnergy Pub Date : 2025-03-24 DOI: 10.23919/IEN.2025.0006

Wei Zhou;Jupeng Pang;Mingzhe Wu;Chao Wang;Kui Wang;Yongdong Li

引用次数: 0