Electric Power Systems Research最新文献_第10页

High impedance fault detection method based on improved Mayr Arc model and fitting curve coefficients 基于改进的 Mayr Arc 模型和拟合曲线系数的高阻抗故障检测方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110990

{"title":"High impedance fault detection method based on improved Mayr Arc model and fitting curve coefficients","authors":"","doi":"10.1016/j.epsr.2024.110990","DOIUrl":"10.1016/j.epsr.2024.110990","url":null,"abstract":"<div><p>To solve the problem of weak transient fault currents and significant nonlinear characteristics caused by arcs in resonant grounding systems, proposing a high-impedance fault (HIF) detection method based on an improved Mayr arc model and fitting curve coefficients. Firstly, to address the issue of low accuracy in simulating fault waveforms in existing HIF models, construct an improved arc model based on Mayr and control the parameter values under different feature dimensions, achieving accurate simulation of arc waveforms. Secondly, based on the impedance characteristics of the feeder, analyze the phase frequency characteristics, determine the first capacitive frequency band, and then determine the cutoff frequency of the Chebyshev filter to improve the ability of waveform feature extraction and fault recognition. Finally, by fitting the voltage and current geometric characteristic curve within the characteristic frequency band, using the least squares method and the quadratic coefficient values of the fitting curve to construct detection criteria, accurate detection of HIF is possible. Research shows that the improved arc model can fully characterize the current arc waveform under various working conditions. Simulations and real-world measurements verify that HIF can be accurately detected using the quadratic coefficient value of the fitting curve.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Developing a peer-to-peer energy trading model for battery storage considering carbon emission permission 开发考虑碳排放许可的电池储能点对点能源交易模型

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.111003

{"title":"Developing a peer-to-peer energy trading model for battery storage considering carbon emission permission","authors":"","doi":"10.1016/j.epsr.2024.111003","DOIUrl":"10.1016/j.epsr.2024.111003","url":null,"abstract":"<div><p>The growing concern regarding climate change has prompted system planners and operators to prioritize transitioning towards zero-carbon emission policies, a crucial issue for a sustainable and eco-friendly society. This necessitates a reduced reliance on the utility grid, which is predominantly powered by fossil fuels. In this regard, the rapid penetration of renewable-based distributed energy resources and battery storage (BS) devices into distribution networks underscores the critical significance of optimizing the efficient utilization of these resources. Peer-to-peer (P2P) energy trading is introduced as a promising innovation, enabling these resources to actively manage their scheduling in the local market environment. This paper proposes a novel P2P energy trading model where agents, e.g., BSs, engage in direct negotiations with each other and the upstream grid simultaneously. To this end, an efficient peer-matching process based on the primal–dual gradient method is proposed to clear the local market without the intervention of any central coordinator, while preserving their privacy and considering their individual preferences. Furthermore, to incorporate the constraints associated with the exchanged power with the upstream grid and carbon emissions in the proposed framework, two separate transactive control signals are defined. Finally, the proposed model is applied to a case study, and the simulation results demonstrate its effectiveness and applicability.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

An active protection method based on superimposed phase currents for active distribution systems 基于叠加相电流的主动配电系统主动保护方法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110982

{"title":"An active protection method based on superimposed phase currents for active distribution systems","authors":"","doi":"10.1016/j.epsr.2024.110982","DOIUrl":"10.1016/j.epsr.2024.110982","url":null,"abstract":"<div><p>To enhance the fault current amplitude of active distribution systems during the weak fault period and decrease the influence of the measurement equipment noise, this paper proposes an active protection method based on superimposed phase currents for active distribution systems. This method is shown as follows. First, the reference value of the filter inductor current of each distributed generator (DG) is set as different values when the fault intensity of the active distribution system changes. Second, the superimposed phase current in each relay is obtained by subtracting each sample of phase current from its corresponding sample of phase current in the previous cycle. Third, the fundamental phase angle of the superimposed phase current is extracted. This is because the fundamental current component of the superimposed current cannot be affected by the active control strategy, which is proved in this paper in detail. Meanwhile, the feature direction is built by fundamental phase angles at both ends of the line to detect faulty zone. Finally, the proposed protection method has been validated in a modified IEEE 13-bus test system, and the test results prove the effectiveness of the proposed active protection method that can enhance the faulty feature to detect faults.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Probabilistic load flow calculation and power system security analysis based on improved CGC-CM 基于改进型 CGC-CM 的概率负荷流计算和电力系统安全分析

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110995

{"title":"Probabilistic load flow calculation and power system security analysis based on improved CGC-CM","authors":"","doi":"10.1016/j.epsr.2024.110995","DOIUrl":"10.1016/j.epsr.2024.110995","url":null,"abstract":"<div><p>The increasing permeability of renewable energy render the traditional static security analysis method based on deterministic load flow no longer applicable. In power systems with uncertain renewable energy sources, probabilistic load flow (PLF) analysis must be conducted to achieve static security analysis of the power system by examining voltage and branch load flow during the operation. This paper proposes a PLF calculation method based on C-type Gram-Charlier series expansion and cumulant (CGC-CM), which can determine the distribution characteristics of bus voltage and branch transmission power. The proposed method solves the problem of negative values in the calculation of PLF for the results of the traditional A-type Gram-Charlier series expansion (AGC) method. Additionally, three typical wind and photovoltaic power generation output scenarios are created using k-means clustering, followed by an assessment of the static security of the power system. In this paper, the accuracy and efficiency of the algorithm is verified using the IEEE30 test system. Besides, it is observed that the static stability of the power system decreases with an increase in wind and photovoltaic power output. Subsequently, a real power system model was established and demonstrated that the branch capacity increase can improve the stability of the system operation.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Machine Learning-Enhanced Benders Decomposition Approach for the Multi-Stage Stochastic Transmission Expansion Planning Problem 多阶段随机输电扩展规划问题的机器学习增强本德斯分解法

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110985

{"title":"Machine Learning-Enhanced Benders Decomposition Approach for the Multi-Stage Stochastic Transmission Expansion Planning Problem","authors":"","doi":"10.1016/j.epsr.2024.110985","DOIUrl":"10.1016/j.epsr.2024.110985","url":null,"abstract":"<div><p>The necessary decarbonization efforts in energy sectors entail integrating flexible assets and increased levels of uncertainty for the planning and operation of power systems. To cope with this in a cost-effective manner, transmission expansion planning (TEP) models need to incorporate progressively more details to represent potential long-term system developments and the operation of power grids with intermittent renewable generation. However, the increased modeling complexities of TEP exercises can easily lead to computationally intractable optimization problems. Currently, most techniques that address computational intractability alter the original problem, thus neglecting critical modeling aspects or affecting the structure of the optimal solution. In this paper, we propose an alternative approach to significantly alleviate the computational burden of large-scale TEP problems. Our approach integrates machine learning (ML) with the well-established Benders decomposition to manage the problem size while preserving solution quality. The proposed ML-enhanced Multicut Benders Decomposition algorithm improves computational efficiency by identifying effective and ineffective optimality cuts via supervised learning techniques. We illustrate the benefits of the proposed methodology by solving multi-stage TEP problems of different sizes based on the IEEE24 and IEEE118 test systems, while also considering energy storage investment options..</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0378779624008708/pdfft?md5=2f88f770f8388e792ad307d531359a0b&pid=1-s2.0-S0378779624008708-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Optimal allocation of wind-based distributed generators and STATCOMs using a hierarchical stochastic programming approach 使用分层随机编程方法优化风力分布式发电机和 STATCOM 的分配

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110960

{"title":"Optimal allocation of wind-based distributed generators and STATCOMs using a hierarchical stochastic programming approach","authors":"","doi":"10.1016/j.epsr.2024.110960","DOIUrl":"10.1016/j.epsr.2024.110960","url":null,"abstract":"<div><p>Allocating static synchronous compensators (STATCOMs) to regulate given allotted wind-based distributed generators (W-DGs) during planning stages can provide high investment returns by maximizing the installed W-DGs. Amidst rising global warming concerns, commitments to adopt renewable energy gain international momentum to curb greenhouse emissions and meet environmental targets, reducing reliance on fossil-based resources. Renewable energy's intermittency complicates distribution planning, stressing voltage devices and increasing network losses. This paper presents a new hierarchical stochastic planning model that addresses uncertainties related to W-DGs and generic loads. The model optimizes allocation with voltage constraints and reactive power while incorporating a two-stage mixed-integer nonlinear program (MINLP), maximizing net profit, and adding an economic dimension to promote renewable energy investments. Improved wind power modeling with historical data and collective evaluation metrics for selecting the best-fitted probability distribution function (PDF) enhances the accuracy of wind power integration assessment. The hierarchical approach considers relaxed voltage constraints in Stage I to allow maximum allotment of W-DGs while introducing STATCOMs and DGs' reactive power in Stage II to address voltage violations. Verification on the Canadian 41-bus network demonstrates the advantage of the hierarchical approach in allocating more W-DGs and achieving higher profits than the simultaneous planning approach. These advances significantly enhance renewable energy integration in power systems.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142058478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

High-frequency transients in buried insulated wires: Transmission line simulations and experimental validation 埋地绝缘导线中的高频瞬变：输电线路模拟和实验验证

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-25 DOI: 10.1016/j.epsr.2024.110993

引用次数: 0

Service restoration in distribution systems considering priority customers and microgrids 考虑优先客户和微电网的配电系统服务恢复

IF 3.9 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-22 DOI: 10.1016/j.epsr.2024.110988

Eduardo L. Campoverde, Santiago P. Torres, Danny Ochoa-Correa, Juan S. Giraldo

{"title":"Service restoration in distribution systems considering priority customers and microgrids","authors":"Eduardo L. Campoverde, Santiago P. Torres, Danny Ochoa-Correa, Juan S. Giraldo","doi":"10.1016/j.epsr.2024.110988","DOIUrl":"https://doi.org/10.1016/j.epsr.2024.110988","url":null,"abstract":"Service restoration (SR) consists of automatically generating and executing a plan to restore the service in healthy zones using the least number of maneuvers after detecting and isolating a permanent fault in the distribution system zone. This component is essential to self-healing functionality in smart grids and allows customers to reconnect quickly to the distribution grid after a power outage. Distributed generation (DG) supports the distribution network when there is insufficient capacity to restore all zones out of service or supply the loads locally through microgrids. The power supply must be restored to the highest priority customers in case of partial restoration. Also, most research works use simplified or linearized models to propose restoration algorithms. This paper proposes a complete AC formulation for the service restoration problem in distribution systems considering network reconfiguration (NR), the integration of distributed generation (DG), and priority customers (PCs) into the solution. The optimization problem is solved by a centralized algorithm based on combining the Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) metaheuristics techniques. Simulation results are presented for three case studies in which the IEEE 33-bus distribution system is tested for different fault scenarios. The numerical results show the robustness and efficiency of the proposed algorithm.","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.9,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142175859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Voltage optimal control model of regional distribution network after reconfiguration based on multi-energy conversion 基于多能源转换的区域配电网重构后的电压优化控制模型

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-22 DOI: 10.1016/j.epsr.2024.110994

{"title":"Voltage optimal control model of regional distribution network after reconfiguration based on multi-energy conversion","authors":"","doi":"10.1016/j.epsr.2024.110994","DOIUrl":"10.1016/j.epsr.2024.110994","url":null,"abstract":"<div><p>In the event of a significant operational fault in the regional distribution network connected to the distributed new energy generator set, it may be necessary to quickly reconfigured certain areas of the system. This process must ensure minimal impact on the voltage of the regional distribution network. To address this issue, a voltage optimal control strategy for regional distribution network based on multi-energy conversion is proposed. Firstly, the energy conversion and adjustable characteristics of electricity, heat, and gas energy conversion equipment in the regional distribution network are analyzed in this paper. The steady-state operation model of the regional distribution network with multi-energy conversion is established. Then, the voltage optimal control model for rapid reconfiguration of the multi-energy distribution network is established by considering the two optimization objectives of power recovery for the important load and system voltage fluctuation. The model is solved based on the greedy algorithm. Finally, an equivalent model of the regional distribution network with multi-energy conversion equipment access is built based on the operation data of the distribution network in a certain area of Northeast China. The feasibility and effectiveness of the model are analyzed and verified.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142039812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Integrated energy cluster hierarchical regulation technology considering demand response 考虑需求响应的综合能源集群分级调节技术

IF 3.3 3区工程技术

Electric Power Systems Research Pub Date : 2024-08-21 DOI: 10.1016/j.epsr.2024.110992

{"title":"Integrated energy cluster hierarchical regulation technology considering demand response","authors":"","doi":"10.1016/j.epsr.2024.110992","DOIUrl":"10.1016/j.epsr.2024.110992","url":null,"abstract":"<div><p>Integrated Energy Cluster (IEC), the regional aggregation of integrated energy systems (IES), has accumulated plenty of dispatchable resources with the development of energy market. This, while significantly providing system Demand Response (DR) potential, also complicates the interaction of the IEC with the main grid and increases the difficulty of system scheduling. To address this issue, this paper proposes a Reinforcement Learning-driven multi-agent hierarchical regulation framework that makes full use of DR to maximize the benefits of both IEC and main grid. Firstly, in the context of the DR market, a mechanism for IECs to bid in the real-time DR market is proposed. Furthermore, an \"IEC-main network\" hierarchical regulation model taking account of DR is established to minimize the IEC operation cost and maximize the societal benefit. Moreover, an optimization algorithm utilizing Deep Deterministic Policy Gradient (DDPG) with Multi-process (MP) and Priority Experience Replay (PER) mechanism is proposed to allow adaptability to high-latitude and large-scale applications. In case study, the proposed model and algorithm is tested on an 8-node system and a 24-node system. The result indicates that the hierarchical regulation model considering DR can improve the system economy by 2.59 % than that without DR and the improved DDPG algorithm can enhance training effectiveness in comparison with DDPG and PER-DDPG.</p></div>","PeriodicalId":50547,"journal":{"name":"Electric Power Systems Research","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142020466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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