Journal of Modern Power Systems and Clean Energy最新文献_第10页

Low-Frequency Oscillations and Resonance Analysis of VSG-Controlled PMSG-based Wind Generation Systems vsg控制的pmsg风力发电系统低频振荡与共振分析

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-24 DOI: 10.35833/MPCE.2024.000465

Yizhuo Ma;Jin Xu;Chenxiang Gao;Guojie Li;Keyou Wang

{"title":"Low-Frequency Oscillations and Resonance Analysis of VSG-Controlled PMSG-based Wind Generation Systems","authors":"Yizhuo Ma;Jin Xu;Chenxiang Gao;Guojie Li;Keyou Wang","doi":"10.35833/MPCE.2024.000465","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000465","url":null,"abstract":"With good adaptability to weak power grids, the grid-forming inverter becomes the foundation of future power grids with high-proportion renewable energy. Moreover, the virtual synchronous generator (VSG) control is recognized as the mainstream control strategy for grid-forming inverters. For permanent magnet synchronous generator (PMSG) based wind generation systems connected to power grid via VSG-controlled grid-forming inverters, some novel impacts on the low-frequency oscillations (LFOs) emerge in power grids. The first impact involves the negative/positive damping effect on LFOs. In this paper, the small-signal torque model of VSG-controlled PMSG-based wind generation systems is established based on the damping torque analysis method, revealing the influence mechanism of machine-side dynamics on LFOs and proving the necessity of the double-mass model for accurate stability analysis. The second impact is the resonance effect between torsional oscillation and LFOs. Subsequently, this paper uses the open-loop resonance analysis method to study the resonance mechanism and to predict the root trajectory. Then, a damping enhancement strategy is proposed to weaken and eliminate the negative damping effect of machine-side dynamics on LFOs and the resonance effect between torsional oscillation and LFOs. Finally, the analysis result is validated through a case study involving the connection of the VSG-controlled PMSG-based wind generation system to the IEEE 39-bus AC grid, supporting the industrial application and stable operation of VSG-controlled PMSG-based wind generation systems.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 1","pages":"115-127"},"PeriodicalIF":5.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10734987","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143184062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliability Assessment of Distribution Systems Under Influence of Stochastic Nature of PV and Spatial-Temporal Distribution of EV Load Demand 光伏随机特性和电动汽车负荷需求时空分布影响下的配电系统可靠性评估

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-24 DOI: 10.35833/MPCE.2024.000336

Lei Xiao;Kashem M. Muttaqi;Ashish P. Agalgaonkar

{"title":"Reliability Assessment of Distribution Systems Under Influence of Stochastic Nature of PV and Spatial-Temporal Distribution of EV Load Demand","authors":"Lei Xiao;Kashem M. Muttaqi;Ashish P. Agalgaonkar","doi":"10.35833/MPCE.2024.000336","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000336","url":null,"abstract":"With the progressive exhaustion of fossil energy and growing concerns about climate change, it has been observed that distributed energy resources such as photovoltaic (PV) systems and electric vehicles (EVs) are being increasingly integrated into distribution systems. This underscores the increasing imperative for a thorough analysis to evaluate reliability from the perspectives of distribution systems and EV charging services, taking into account the stochastic nature of PV and EV load demands. This paper presents an approach for the reliability assessment of distribution systems that incorporate PV and EVs considering reliability models for both PV systems and EV battery systems. It also defines new indices to investigate the adequacy and customer-side reliability for EV charging services. The developed methodology utilizes a Monte Carlo simulation-based approach and is showcased using the modified Roy Billinton Test System (RBTS) Bus 4 distribution system. The results illustrate that reliability indices for EV charging services, such as percentage of charging energy not supplied (PCENS), average EV interruption frequency index (AEVIFI) and average EV interruption duration index (AEVIDI), are improved under the proposed approach.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 4","pages":"1287-1299"},"PeriodicalIF":5.7,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10734986","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Temporal Optimization of Virtual Power Plant in Energy-Frequency Regulation Market Under Uncertainties 不确定能量-频率调节市场下虚拟电厂的多时态优化

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-22 DOI: 10.35833/MPCE.2024.000118

Wenping Qin;Xiaozhou Li;Xing Jing;Zhilong Zhu;Ruipeng Lu;Xiaoqing Han

{"title":"Multi-Temporal Optimization of Virtual Power Plant in Energy-Frequency Regulation Market Under Uncertainties","authors":"Wenping Qin;Xiaozhou Li;Xing Jing;Zhilong Zhu;Ruipeng Lu;Xiaoqing Han","doi":"10.35833/MPCE.2024.000118","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000118","url":null,"abstract":"The virtual power plant (VPP) facilitates the coordinated optimization of diverse forms of electrical energy through the aggregation and control of distributed energy resources (DERs), offering as a potential resource for frequency regulation to enhance the power system flexibility. To fully exploit the flexibility of DER and enhance the revenue of VPP, this paper proposes a multi-temporal optimization strategy of VPP in the energy-frequency regulation (EFR) market under the uncertainties of wind power (WP), photovoltaic (PV), and market price. Firstly, all schedulable electric vehicles (EVs) are aggregated into an electric vehicle cluster (EVC), and the schedulable domain evaluation model of EVC is established. A day-ahead energy bidding model based on Stackelberg game is also established for VPP and EVC. Secondly, on this basis, the multi-temporal optimization model of VPP in the EFR market is proposed. To manage risks stemming from the uncertainties of WP, PV, and market price, the concept of conditional value at risk (CVaR) is integrated into the strategy, effectively balancing the bidding benefits and associated risks. Finally, the results based on operational data from a provincial electricity market demonstrate that the proposed strategy enhances comprehensive revenue by providing frequency regulation services and encouraging EV response scheduling.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 2","pages":"675-687"},"PeriodicalIF":5.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10726909","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detailed Equivalent Modeling and Simulation of Modular Multilevel Converters with Partially-Integrated Battery Energy Storage 部分集成电池储能模块多电平变换器详细等效建模与仿真

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-22 DOI: 10.35833/MPCE.2023.000986

Ramin Parvari;Shaahin Filizadeh;Ioni Fernando

{"title":"Detailed Equivalent Modeling and Simulation of Modular Multilevel Converters with Partially-Integrated Battery Energy Storage","authors":"Ramin Parvari;Shaahin Filizadeh;Ioni Fernando","doi":"10.35833/MPCE.2023.000986","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000986","url":null,"abstract":"This paper develops a detailed equivalent model for modular multilevel converters with partially-integrated battery energy storage. The proposed model gains computational efficiency in two ways. Firstly, it markedly reduces the large number of nodes in the conventional switching model of the converter, thereby shrinking the size of its admittance matrix. Secondly, it avoids computationally expensive re-triangularization of the admittance matrix during the normal operation of the converter and restricts it only to the rare occasions of converter blocking. Mathematical derivation of the model is carried out using differential equations of the converter. The computational efficiency and accuracy of the proposed model are confirmed by comparison of the results from its implementation in the PSCAD/EM TDC simulator against conventional detailed switching models and measurements from a single-phase scaled-down laboratory setup. This paper also shows a case study wherein a converter with partially-integrated batteries is included in the CIGRE B4-5 benchmark system.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 4","pages":"1444-1457"},"PeriodicalIF":5.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10726914","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144716277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reinforcement Learning- and Option-Jointed Modeling for Cross-Market and Cross-Time Trading of Generators in Electricity and Carbon Markets 电力和碳市场中发电机跨市场、跨时间交易的强化学习和期权联合建模

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-22 DOI: 10.35833/MPCE.2024.000013

Kai Jiang;Kunyu Wang;Lin Yang;Nian Liu

{"title":"Reinforcement Learning- and Option-Jointed Modeling for Cross-Market and Cross-Time Trading of Generators in Electricity and Carbon Markets","authors":"Kai Jiang;Kunyu Wang;Lin Yang;Nian Liu","doi":"10.35833/MPCE.2024.000013","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000013","url":null,"abstract":"With the development of the carbon markets (CMs) and electricity markets (EMs), discrepancies in prices between the two markets and between two time periods offer profit opportunities for generation companies (GenCos). Motivated by the carbon option and Black-Scholes (B-S) model, GenCos are given the right but not the obligation to trade carbon emission allowances (CEAs) and use instruments to hedge against price risks. To model the strategic behaviors of GenCos that capitalize on these cross-market and cross-time opportunities, a multi-market trading strategy that incorporates option-jointed daily trading and reinforcement learning-jointed weekly continuous trading are modeled. The daily trading is built with a bi-level structure, where a profit-oriented bidding model that jointly considers both the optimal CEA holding shares and the best bidding curves is developed at the upper level. At the lower level, in addition to market clearing models of the day-ahead EM and auction-based CM, a B-S model that considers carbon trading asynchronism and option pricing is constructed. Then, by expanding the daily trading, the weekly continuous trading is modeled and solved using reinforcement learning. Binary expansion and strike-to-spot price ratio are utilized to address the nonlinearity. Finally, case studies on an IEEE 30-bus system are conducted to validate the effectiveness of the proposed trading strategy. Results show that the proposed trading strategy can increase GenCo profits by influencing market prices and leveraging carbon options.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 2","pages":"637-649"},"PeriodicalIF":5.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10726915","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stability and Dynamic Analysis of PMSG-Based Wind Generation System Considering Torsional Oscillation and Virtual Inertia Control 考虑扭振和虚拟惯性控制的pmsg风力发电系统稳定性与动态分析

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-15 DOI: 10.35833/MPCE.2024.000573

Yizhuo Ma;Jin Xu;Guojie Li;Keyou Wang

{"title":"Stability and Dynamic Analysis of PMSG-Based Wind Generation System Considering Torsional Oscillation and Virtual Inertia Control","authors":"Yizhuo Ma;Jin Xu;Guojie Li;Keyou Wang","doi":"10.35833/MPCE.2024.000573","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000573","url":null,"abstract":"Most permanent magnet synchronous generator (PMSG) based wind generation systems currently employ grid-following control, relying on a phase-locked loop (PLL) for grid connection. However, it leads to a lack of inertia support in the system. To address this, the virtual inertia control (VIC) is crucial for improvement, yet it introduces potential instability due to torsional oscillation interaction with PLL and low-frequency oscillations, which is an underexplored area. This paper presents a comprehensive analysis of the grid-connected PMSG-based wind generation system. It confirms the necessity of employing a full-order model for studying stability on the quasi-electromechanical timescale (QET) by a comparison with the reduced-order model. Then, a comprehensive modal analysis is conducted to analyze the effect of VIC parameters, shaft inertia time constant, PLL parameters, and torsional oscillation damping (TOD) controller gain on the interaction of QET oscillations under two typical control strategies. The occurrence of interaction and mode conversion is observed when the oscillation frequency and root loci of the torsional, PLL, and low-frequency oscillations are close. Finally, a theoretical analysis is validated via simulation verification in Simulink. These findings offer a valuable guidance for industrial PMSG applications considering VIC.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 3","pages":"852-864"},"PeriodicalIF":5.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10719597","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Modelling, Control, and Stability Analysis of DC Modular Multilevel Converter Connected to HVDC Cables 与高压直流电缆相连的直流模块化多电平转换器的动态建模、控制和稳定性分析

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-15 DOI: 10.35833/MPCE.2023.001004

Salman Badkubi;Aliakbar Jamshidi Far;Sumeet S. Aphale

{"title":"Dynamic Modelling, Control, and Stability Analysis of DC Modular Multilevel Converter Connected to HVDC Cables","authors":"Salman Badkubi;Aliakbar Jamshidi Far;Sumeet S. Aphale","doi":"10.35833/MPCE.2023.001004","DOIUrl":"https://doi.org/10.35833/MPCE.2023.001004","url":null,"abstract":"Innovative dynamic models for the DC modular multilevel converter (DC-MMC) in rotating <tex>${dq}$</tex> frame are presented in this paper, which are specifically designed to enhance converter design and stability analysis. Open-loop and closed-loop models are developed using three <tex>${dq}$</tex> frames, providing a detailed examination of the impact of 2ndand 3rd harmonic components on the model accuracy. A novel contribution of this paper is the integration of a 2ndharmonic current suppression controller (SHCSC) within the closed-loop model, offering new insights into its effects on system stability. The DC-MMC model is further extended by coupling it with high-voltage direct current (HVDC) cables on each side, forming an interconnected system model that accurately represents a more authentic scenario for future DC grids. The proposed model is rigorously validated against PSCAD benchmark model, confirming their precision and reliability. The interconnected system model is then utilized to analyze the influence of cable length on system stability, demonstrating practical applications. The closed-loop model is subsequently employed for stability assessment of the inter-connected system, showcasing its applicability in real-world scenarios. Additionally, a damping controller is designed using participation factor and residue approaches, offering a refined approach to oscillation damping and stability optimization. The effectiveness of the controller is evaluated through eigenvalue analysis, supported by simulation results, underscoring its potential for enhancing system stability.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 2","pages":"710-719"},"PeriodicalIF":5.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10719598","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143698262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic Nonlinear Droop-Based Fast Frequency Regulation for Power Systems with Flexible Resources Using Meta-Reinforcement Learning Approach 基于元强化学习方法的柔性资源电力系统动态非线性下垂快速调频

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-07 DOI: 10.35833/MPCE.2024.000062

Yuxin Ma;Zechun Hu;Yonghua Song

{"title":"Dynamic Nonlinear Droop-Based Fast Frequency Regulation for Power Systems with Flexible Resources Using Meta-Reinforcement Learning Approach","authors":"Yuxin Ma;Zechun Hu;Yonghua Song","doi":"10.35833/MPCE.2024.000062","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000062","url":null,"abstract":"The increasing penetration of renewable energy resources and reduced system inertia pose risks to frequency security of power systems, necessitating the development of fast frequency regulation (FFR) methods using flexible resources. However, developing effective FFR policies is challenging because different power system operating conditions require distinct regulation logics. Traditional fixed-coefficient linear droop-based control methods are suboptimal for managing the diverse conditions encountered. This paper proposes a dynamic nonlinear <tex>${P}-{f}$</tex> droop-based FFR method using a newly established meta-reinforcement learning (meta-RL) approach to enhance control adaptability while ensuring grid stability. First, we model the optimal FFR problem under various operating conditions as a set of Markov decision processes and accordingly formulate the frequency stability-constrained meta-RL problem. To address this, we then construct a novel hierarchical neural network (HNN) structure that incorporates a theoretical frequency stability guarantee, thereby converting the constrained meta-RL problem into a more tractable form. Finally, we propose a two-stage algorithm that leverages the inherent characteristics of the problem, achieving enhanced optimality in solving the HNN-based meta-RL problem. Simulations validate that the proposed FFR method shows superior adaptability across different operating conditions, and achieves better trade-offs between regulation performance and cost than benchmarks.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 2","pages":"379-390"},"PeriodicalIF":5.7,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10707106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Graph Attention Network Based Deep Reinforcement Learning for Voltage/var Control of Topologically Variable Power System 基于图注意网络的深度强化学习拓扑可变电力系统电压/无功控制

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-04 DOI: 10.35833/MPCE.2023.000712

Xiaofei Liu;Pei Zhang;Hua Xie;Xuegang Lu;Xiangyu Wu;Zhao Liu

{"title":"Graph Attention Network Based Deep Reinforcement Learning for Voltage/var Control of Topologically Variable Power System","authors":"Xiaofei Liu;Pei Zhang;Hua Xie;Xuegang Lu;Xiangyu Wu;Zhao Liu","doi":"10.35833/MPCE.2023.000712","DOIUrl":"https://doi.org/10.35833/MPCE.2023.000712","url":null,"abstract":"The high proportion of renewable energy integration and the dynamic changes in grid topology necessitate the enhancement of voltage/var control (VVC) to manage voltage fluctuations more rapidly. Traditional model-based control algorithms are becoming increasingly incompetent for VVC due to their high model dependence and slow online computation speed. To alleviate these issues, this paper introduces a graph attention network (GAT) based deep reinforcement learning for VVC of topologically variable power system. Firstly, combining the physical information of the actual power grid, a physics-informed GAT is proposed and embedded into the proximal policy optimization (PPO) algorithm. The GAT-PPO algorithm can capture topological and spatial correlations among the node features to tackle topology changes. To address the slow training, the ReliefF -S algorithm identifies critical state variables, significantly reducing the dimensionality of state space. Then, the training samples retained in the experience buffer are designed to mitigate the sparse reward issue. Finally, the validation on the modified IEEE 39-bus system and an actual power grid demonstrates superior performance of the proposed algorithm compared with state-of-the-art algorithms, including PPO algorithm and twin delayed deep deterministic policy gradient (TD3) algorithm. The proposed algorithm exhibits enhanced convergence during training, faster solution speed, and improved VVC performance, even in scenarios involving grid topology changes and increased renewable energy integration. Meanwhile, in the adopted cases, the network loss is reduced by 6.9%, 10.80%, and 7.70%, respectively, demonstrating favorable economic outcomes.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 1","pages":"215-227"},"PeriodicalIF":5.7,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705987","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Communication-Aware Restoration of Smart Distribution Grids Based on Optimal Allocation of Resilience Resources 基于弹性资源优化配置的智能配电网通信感知恢复

IF 5.7 1区工程技术

Journal of Modern Power Systems and Clean Energy Pub Date : 2024-10-04 DOI: 10.35833/MPCE.2024.000015

Youba Nait-Belaid;Yiping Fang;Zhiguo Zeng;Patrick Coudray;Anne Barros

{"title":"Communication-Aware Restoration of Smart Distribution Grids Based on Optimal Allocation of Resilience Resources","authors":"Youba Nait-Belaid;Yiping Fang;Zhiguo Zeng;Patrick Coudray;Anne Barros","doi":"10.35833/MPCE.2024.000015","DOIUrl":"https://doi.org/10.35833/MPCE.2024.000015","url":null,"abstract":"Although power grids have become safer with increased situational awareness, major extreme events still pose reliability and resilience challenges, primarily at the distribution level, due to increased vulnerabilities and limited recovery resources. Information and communication technologies (ICIs) have introduced new vulnerabilities that have been widely investigated in previous studies. These vulnerabilities include remote device failures, communication channel disturbances, and cyber-attacks. However, only few studies have explored the opportunity offered by communications to improve the resilience of pow-er grids and eliminate the notion that power-telecom interdepen-dencies always pose a threat. This paper proposes a communication-aware restoration approach of smart distribution grids, which leverages power-telecom interdependencies to determine the optimal restoration strategies. The states of grid-energized telecom points are tracked to provide the best restoration actions, which are enabled through the resilience resources of re-pair, manual switching, remote reconfiguration, and distributed generators. As the telecom network coordinates the allocation of these resilience resources based on their coupling tendencies, different telecom architectures have been introduced to investigate the contribution of private and public ICTs to grid management and restoration operations. System restoration uses the configuration that follows a remote fast response as the input to formulate the problem as mixed-integer linear programming. Results from numerical simulations reveal an enhanced restoration process derived from telecom-aware recovery and the co-optimization of resilience resources. The existing disparity between overhead and underground power line configurations is also quantified.","PeriodicalId":51326,"journal":{"name":"Journal of Modern Power Systems and Clean Energy","volume":"13 2","pages":"527-539"},"PeriodicalIF":5.7,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10705979","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0