IEEE Transactions on Sustainable Energy最新文献_第10页

Thermal Dynamic Embedded Contingency Analysis for Heat-Electrical Integrated Energy System 热电集成能源系统热动态嵌入式偶然性分析

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-12-12 DOI: 10.1109/TSTE.2024.3516199

Aobo Guan;Suyang Zhou;Wei Gu;Shuai Lu;Alexis Pengfei Zhao;Xiao-ping Zhang

{"title":"Thermal Dynamic Embedded Contingency Analysis for Heat-Electrical Integrated Energy System","authors":"Aobo Guan;Suyang Zhou;Wei Gu;Shuai Lu;Alexis Pengfei Zhao;Xiao-ping Zhang","doi":"10.1109/TSTE.2024.3516199","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3516199","url":null,"abstract":"To address security challenges in Heat-Electrical Integrated Energy Systems (HE-IES), this paper introduces a simulation-based contingency analysis method aimed at identifying potentially threatening faults. We begin by modeling common faults in HE-IES and outlining a comprehensive procedure for simulation-based contingency analysis. Next, we analyze the factors determining temperature drop in the heat medium transfer process and propose a novel analytical-numerical method for thermal dynamic simulation. Real-world experimental results demonstrate that, compared to existing methods, the proposed approach stands out in eliminating numerical dispersion and reducing simulation time by 81.7% while maintaining accuracy, making it particularly effective for HE-IES contingency analysis where solution efficiency is crucial. Subsequently, the proposed contingency analysis method is applied to a 49-node testbed to explore fault propagation mechanism across subsystems. The result reveals that faults originating from the power system and combined heat and power units can cause cascading effects, leading to severe impacts on power supply and heating temperatures. In contrast, faults from the heating system tend to propagate in a less complicated manner but pose a greater risk to the hydraulic system. To mitigate fault propagation, we recommend enhanced monitoring of the operational status of coupling equipment, which plays a critical role in ensuring HE-IES security.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 3","pages":"1518-1530"},"PeriodicalIF":8.6,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331739","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Tube-Based Linear Parameter-Varying Model Predictive Control for Wind Energy Conversion Systems 基于管道的风电转换系统线性变参数模型预测控制

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-12-09 DOI: 10.1109/TSTE.2024.3512997

Isah A. Jimoh;Taimur Zaman;Mazheruddin Syed;Hong Yue;Graeme Burt;Mohamed Shawky El Moursi

{"title":"Tube-Based Linear Parameter-Varying Model Predictive Control for Wind Energy Conversion Systems","authors":"Isah A. Jimoh;Taimur Zaman;Mazheruddin Syed;Hong Yue;Graeme Burt;Mohamed Shawky El Moursi","doi":"10.1109/TSTE.2024.3512997","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3512997","url":null,"abstract":"Maximum power extraction and transfer from wind energy conversion systems (WECS) to the power grid depends on a high-performance control system. This paper proposes a robust tube-based linear parameter-varying (LPV) model predictive controller (MPC) for rotor speed and stator's active and reactive power control of a Doubly-Fed Induction Generator (DFIG) based WECS. The turbine dynamics and the DFIG is modeled as a single LPV system, which enables the model transformation into an equivalent linear time-invariant (LTI) system to avoid online updates of the prediction matrix. Based on the LTI representation, a tube-based LPV MPC (TLPVMPC) is developed, consisting of a tracking nominal MPC with tightened constraint sets and a disturbance controller. In the proposed method, the disturbance upper bound is estimated by Kalman filtering, which provides less conservative performance. The proposed controller is compared to sliding mode control (SMC), LPVMPC and nonlinear MPC (NMPC) methods. Simulations are conducted under model uncertainties and partial faults in the DFIG control voltages. The results show the robust performance of the proposed controller in power extraction and reduction of mechanical stress build-up compared to the other control methods.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1225-1237"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Area-Multi-Stage Based Self-Healing Distribution Network Planning and Operation 基于多区域多阶段的自愈配电网规划与运行

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-12-09 DOI: 10.1109/TSTE.2024.3509012

Yifan Deng;Wei Jiang;Junjun Xu;Ke Sun;Jialin Yu;Chun Li;Weijie Qian

{"title":"Multi-Area-Multi-Stage Based Self-Healing Distribution Network Planning and Operation","authors":"Yifan Deng;Wei Jiang;Junjun Xu;Ke Sun;Jialin Yu;Chun Li;Weijie Qian","doi":"10.1109/TSTE.2024.3509012","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3509012","url":null,"abstract":"Extreme events such as earthquakes, floods, or wars could cause severe grid faults and large-scale outages in the distribution network. The active islanding technology can be used for self-healing of multiple outage areas with distributed resources, smart distribution facilities, and advanced controlling methods. The facilities related to the self-healing consist of relays, switches, distributed resources, and power electronics based soft open points (SOPs). However, the self-healing effect depends on not only the location, capability, and function of these facilities, but also the recovery process should be comprehensively considered and coordinated since the multi-stage recovery strategies are deeply coupled. These recovery stages usually consist of the relaying process, grid partition with smart switches (SSWs), resupply by distributed resources, and interconnection with SOPs. For the first time, this paper proposes a multi-area-multi-stage (MAMS) self-healing recovery area (RA) planning-operation collaborative approach considering the recovery sequence. First, the multiple self-healing stages of flexible RAs are defined and introduced. Second, the time-variant topological and operational constraints are proposed to represent the coupling relationships at different stages. Finally, the hybrid controllable load deployment strategy is used to compensate for the limited resource capacity in RA restoration. The effectiveness of the proposed collaborative model is verified by illustrative case studies.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1206-1224"},"PeriodicalIF":8.6,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Internal Energy Distribution Control Based Fault Ride-Through and Postfault Recovery Strategy for Offshore Wind Farms Connected to DR-MMC HVDC Under Onshore AC Grid Faults 陆上交流电网故障下与 DR-MMC 高压直流连接的海上风电场基于内部能量分配控制的故障穿越和故障后恢复策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-12-02 DOI: 10.1109/TSTE.2024.3509963

Yuchen Zhu;Yongli Li;Botong Li;Tao Li;Lu Xu;Ningning Liu

{"title":"Internal Energy Distribution Control Based Fault Ride-Through and Postfault Recovery Strategy for Offshore Wind Farms Connected to DR-MMC HVDC Under Onshore AC Grid Faults","authors":"Yuchen Zhu;Yongli Li;Botong Li;Tao Li;Lu Xu;Ningning Liu","doi":"10.1109/TSTE.2024.3509963","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3509963","url":null,"abstract":"Offshore wind farms (OWF) connected to diode rectifier (DR) and modular multilevel converter (MMC)-based HVDC confront challenges of surplus power induced by onshore AC faults. This paper proposes an internal energy distribution control (IEDC) strategy, which utilizes the rotor kinetic energy (KE) of wind turbines (WT) and the capacitor energy of MMC submodules to achieve fault ride-through (FRT) and postfault recovery (PFR). Firstly, the mechanism of OWF is analyzed, and an onshore AC fault detection method based on local measurements is proposed. Then, a two-stage FRT control strategy is proposed. Three preset power reduction and energy absorption curves are designed to utilize the internal energy to actively absorb excess power, and flexibly distribute surplus power to KE and MMC energy. An additional pitch angle control (APAC) is devised, which can reduce captured wind power and eliminate surplus power when the internal energy reaches its maximum value. Thirdly, a two-stage PFR control strategy is proposed. The preset power and energy recovery curves are designed to achieve fast active power recovery and release of stored excess internal energy after fault clearance. Case studies are performed on 2-terminal and 4-terminal test systems to validate the performance and effectiveness of the proposed strategy.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1191-1205"},"PeriodicalIF":8.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Objective Performance Enhancement of Offshore Wind Turbines Through Planning Controller Parameter: A ‘Plan-Control’ Hierarchical Controller 基于规划控制器参数的海上风力发电机多目标性能增强：一种“计划-控制”层次控制器

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-12-02 DOI: 10.1109/TSTE.2024.3509932

Songyue Zheng;Lilin Wang;Lizhong Wang;Lijian Wu;Yi Hong

{"title":"Multi-Objective Performance Enhancement of Offshore Wind Turbines Through Planning Controller Parameter: A ‘Plan-Control’ Hierarchical Controller","authors":"Songyue Zheng;Lilin Wang;Lizhong Wang;Lijian Wu;Yi Hong","doi":"10.1109/TSTE.2024.3509932","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3509932","url":null,"abstract":"Large-scale offshore wind turbines (OWTs) are manufactured with pronounced flexible structures and operated in complex wind-wave coupled environment, thereby imposing high demands on the controller performance. Existing advanced control strategies have altered the architecture of industry-standard controller, hindering their application in industrial projects. This study aims to propose a novel ‘Plan-Control’ Hierarchical Controller (PCHC) for OWTs, with the inner ‘Control’ loop utilizing an industry-standard controller and the outer ‘Plan’ loop integrating a nonlinear model predictive control (NMPC)-based planner. For the inner loop, the controller provides reference signals of generator torque and blade pitch to actuators of OWTs, with controller parameters, optimal constant in torque control and proportional-integral (PI) gains in pitch control, being transferred from the planner. For the outer loop, an NMPC-based planner determines controller parameters by solving multi-objective optimization formulations with variable prediction horizons. Interestingly, NMPC-based planner does not operate as often as controller in PCHC, but compensates for the residual error, arising from the mismatch of state-space model in the multi-step prediction process, by Gaussian Process regression. A cost function is jointly formulated to suppress mechanical power and rotor speed fluctuations, reduce structural loads, and restrict actuators' actions, with weighting factors tuned online and robustly. Finally, the multi-objective performance enhancement of the PCHC in power and speed stability, and structural load mitigations is demonstrated utilizing aero-hydro-servo-elasto-soil simulations with actual wind-wave environmental conditions. The PCHC maintains the architecture of the industrial-standard controller, thus smoothing the way for its implementation in industrial projects of OWTs.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1177-1190"},"PeriodicalIF":8.6,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributionally Robust Bilevel Optimization Model for Distribution Network With Demand Response Under Uncertain Renewables Using Wasserstein Metrics 基于Wasserstein指标的不确定可再生能源需求响应配电网分布鲁棒双层优化模型

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-11-28 DOI: 10.1109/TSTE.2024.3509314

Can Yin;Jin Dong;Yiling Zhang

{"title":"Distributionally Robust Bilevel Optimization Model for Distribution Network With Demand Response Under Uncertain Renewables Using Wasserstein Metrics","authors":"Can Yin;Jin Dong;Yiling Zhang","doi":"10.1109/TSTE.2024.3509314","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3509314","url":null,"abstract":"We consider a distribution network integrating demand response (DR) participants in the presence of uncertain renewable suppliers and outdoor temperatures. A bilevel optimization model is proposed to capture the intricate dynamics between price-incentivized DR participants and distribution system operations, including energy procurement and active/reactive power flows. The model is formulated as a distributional robust bilevel optimization using Wasserstein metrics. We show favorable data-driven properties including out-of-sample guarantee and asymptotic consistency. Furthermore, we present a tractable mixed-integer linear programming reformulation and characterize the worst-case distribution. Computational experiments are conducted on a modified 33-bus system. Our findings underscore the efficacy of the pricing strategies derived from the proposed bilevel optimization model. These strategies not only effectively manage DR participants' behavior but also bring equity considerations among households with various characteristics to light. The results contribute to a deeper understanding of the interplay between distribution system operators and DR participants.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1165-1176"},"PeriodicalIF":8.6,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Online Stream-Driven Energy Management in Microgrids Using Recurrent Neural Networks and SustainaBoost Augmentation 基于循环神经网络和SustainaBoost增强的微电网在线流驱动能源管理

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-11-26 DOI: 10.1109/TSTE.2024.3505780

Younes Ghazagh Jahed;Seyyed Yousef Mousazadeh Mousavi;Saeed Golestan

{"title":"Online Stream-Driven Energy Management in Microgrids Using Recurrent Neural Networks and SustainaBoost Augmentation","authors":"Younes Ghazagh Jahed;Seyyed Yousef Mousazadeh Mousavi;Saeed Golestan","doi":"10.1109/TSTE.2024.3505780","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3505780","url":null,"abstract":"In recent years, the operation of microgrids (MG) has faced increasing challenges due to the growing penetration of renewable energy sources (RES) and the integration of electric vehicles (EVs), which introduce significant uncertainties in power supply and demand dynamics. In response, neural network-based approaches emerge as promising solutions, adept at handling vast databases and learning diverse patterns for real-time decision-making. This paper proposes an online stream-driven energy management strategy for efficient grid-connected MG power management and cost minimization. The strategy considers the presence of EVs and RES, while also addressing the impact of noisy data. The strategy incorporates a recurrent neural network (RNN) to learn from time-series data and make real-time decisions. Additionally, an augmentation technique called SustainaBoost (SB) is introduced, designed to boost system sustainability and enhance the training quality of neural networks. The proposed RNN achieves 98.7% optimality in minimizing the operational costs of the MG on the test dataset.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1153-1164"},"PeriodicalIF":8.6,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adversarial Constraint Learning for Robust Dispatch of Distributed Energy Resources in Distribution Systems 配电系统分布式能源鲁棒调度的对抗约束学习

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-11-25 DOI: 10.1109/TSTE.2024.3505673

Ge Chen;Hongcai Zhang;Yonghua Song

{"title":"Adversarial Constraint Learning for Robust Dispatch of Distributed Energy Resources in Distribution Systems","authors":"Ge Chen;Hongcai Zhang;Yonghua Song","doi":"10.1109/TSTE.2024.3505673","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3505673","url":null,"abstract":"The variability of renewables and power demands poses significant challenges for the dispatch of distributed energy resources (DERs) in distribution networks, as they often introduce uncertainties that may lead to power flow constraint violations. Robust optimization (RO) is a powerful tool for managing the operational risks caused by these uncertainties. However, solving robust DER dispatch problems is nontrivial since the non-convex AC power flow constraints prevent the use of strong duality to find deterministic counterparts. To this end, this paper proposes adversarial constraint learning that can provide linear surrogates for robust dispatch problems. This method begins by designing a gradient-based adversarial attack process to identify the worst-case constraint violations. A “teacher” model is trained in advance to enable rapid gradient calculations during this attack process. Under the teacher's supervision, two “student” models are then trained to predict the worst-case violation from candidate dispatch decisions and nominal operating conditions (i.e., renewable generation and power demands). These student models are further reformulated into equivalent mixed-integer linear programming (MILP) forms and serve as computationally efficient surrogates for the original robust dispatch problems. Simulations across various operating conditions and test systems demonstrate that our method can achieve desirable feasibility, low suboptimality, and high online computational efficiency.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1139-1152"},"PeriodicalIF":8.6,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contribution of PV Generation With Embedded Battery Storage to Capacity Adequacy 嵌入式电池储能对光伏发电容量充足性的贡献

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-11-25 DOI: 10.1109/TSTE.2024.3505413

Pantelis A. Dratsas;Georgios N. Psarros;Stavros A. Papathanassiou

{"title":"Contribution of PV Generation With Embedded Battery Storage to Capacity Adequacy","authors":"Pantelis A. Dratsas;Georgios N. Psarros;Stavros A. Papathanassiou","doi":"10.1109/TSTE.2024.3505413","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3505413","url":null,"abstract":"This paper proposes a real-time redispatch method for including PV-plus-battery plants in resource adequacy assessment (RAA) studies. The method offers the possibility to represent the market operation of the assets, while at the same time considering their response to reliability events, unlike existing methods in the literature that manage such assets in a single-dimensional manner, driven solely by adequacy contribution considerations or entirely ignoring this capability. In the proposed method, while the plant is initially dispatched in a market-oriented manner, i.e., with the objective of maximizing market revenues, its actual operation is adapted to meet system needs when reliability events take place. The method is incorporated into a Monte Carlo (MC) based RAA model in a computationally efficient manner, relying on a deterministic implementation of redispatching that does not impact significantly the computational burden of the RAA model, thus enabling the execution of multiple MC samples to achieve a high stochastic process accuracy. A merit order algorithm is also embedded into the RAA model to evaluate the PV-plus-battery market revenues. The model developed allows a refined calculation of the capacity value (CV) of such assets for different plant configurations and inverter loading ratios, while the upper and lower CV bounds are approximated via application of the adequacy- and market-oriented approaches available in the literature. Results show that the embedded storage energy capacity is crucial for the CV afforded by the assets, while any decrease in the inverter capacity does not significantly impact the CV value. Further, the CV of storage embedded in tightly coupled PV-plus-battery plants, where batteries are exclusively charged by the plant's own PV generation, is generally lower than the value of similar stand-alone storages operating without any charging constraints.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1125-1138"},"PeriodicalIF":8.6,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Control Strategy for Enhancing System Stability in Weak Grids by Mitigating Additional Disturbance Components from PLL 一种通过减轻锁相环附加干扰分量来提高弱电网系统稳定性的新控制策略

IF 8.6 1区工程技术

IEEE Transactions on Sustainable Energy Pub Date : 2024-11-19 DOI: 10.1109/TSTE.2024.3502793

Junliang Liu;Xiong Du;Yiting Zhao

{"title":"A Novel Control Strategy for Enhancing System Stability in Weak Grids by Mitigating Additional Disturbance Components from PLL","authors":"Junliang Liu;Xiong Du;Yiting Zhao","doi":"10.1109/TSTE.2024.3502793","DOIUrl":"https://doi.org/10.1109/TSTE.2024.3502793","url":null,"abstract":"Wind and photovoltaic power plants connected to weak grids can bring stability problems. The grid-connected inverter is an important connection port between the renewable energy and the grid. Some studies have indicated that the phase-locked loop (PLL) controller of the inverter can play a significant role in causing stability issues in weak grids. In this paper, a small-signal model of a phase-locked loop with complex variables is established. Then, the influence of phase-locked loop on system stability is analyzed. It is found that the presence of the PLL introduces additional disturbance components into the inverter control loop, resulting in a decrease in system stability. To mitigate the influence, a control strategy is proposed that involves injecting opposite disturbance components into the control loop to counteract the additional disturbance components. The proposed control strategy effectively improves the system stability. In addition, when compared to existing methods for enhancing stability, such as reducing the bandwidth of the PLL, the proposed method demonstrates a good dynamic response. The simulation and experimental results are presented to demonstrate the effectiveness of the proposed method.","PeriodicalId":452,"journal":{"name":"IEEE Transactions on Sustainable Energy","volume":"16 2","pages":"1114-1124"},"PeriodicalIF":8.6,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143667729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0