Hybrid energy storage system (HESS) is an effective way to mitigate wind power fluctuations on multi-time scale, and can improve influence of large-scale grid-connected wind power on stability and reliability of power system. A novel methodology named zero-phase controlled auto-regressive integrated moving-average (CARIMA) filter is proposed to integrate HESS to smooth wind power fluctuations. First, a design method for zero-phase CARIMA filter is provided, and then used to determine grid-connected power for a wind storage system and size HESS. The reasons, direct current (DC) component caused by energy storage efficiency and grid-connected power delay caused by phase shift, for causing superfluous energy storage configuration are revealed. In addition, a nonlinear programming scheduling strategy considering battery degradation is proposed. Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed. Furthermore, thermostatically controlled loads (TCLs) are integrated in sizing and scheduling HESS to reduce energy storage demand and improve operating conditions of energy storage. Finally, effectiveness of the proposed strategy is verified by a case study.
{"title":"Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization","authors":"Wei Wang;Peng Chen;Guorui Ren;Jizhen Liu;Fang Fang;Zhe Chen","doi":"10.17775/CSEEJPES.2022.06930","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06930","url":null,"abstract":"Hybrid energy storage system (HESS) is an effective way to mitigate wind power fluctuations on multi-time scale, and can improve influence of large-scale grid-connected wind power on stability and reliability of power system. A novel methodology named zero-phase controlled auto-regressive integrated moving-average (CARIMA) filter is proposed to integrate HESS to smooth wind power fluctuations. First, a design method for zero-phase CARIMA filter is provided, and then used to determine grid-connected power for a wind storage system and size HESS. The reasons, direct current (DC) component caused by energy storage efficiency and grid-connected power delay caused by phase shift, for causing superfluous energy storage configuration are revealed. In addition, a nonlinear programming scheduling strategy considering battery degradation is proposed. Power imbalance caused by efficiency difference during dynamic adjustment of energy storage output power is addressed. Furthermore, thermostatically controlled loads (TCLs) are integrated in sizing and scheduling HESS to reduce energy storage demand and improve operating conditions of energy storage. Finally, effectiveness of the proposed strategy is verified by a case study.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 6","pages":"2283-2295"},"PeriodicalIF":6.9,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.17775/CSEEJPES.2023.05250
Yunyang Zou;Yan Xu
In a deregulated Var market, market power issue is more serious than in an energy market since reactive power cannot be transmitted over long distances. This letter designs a multi-timescale Var market framework, where market power that may arise in the hourly-ahead Var support service market due to system configuration deficiency and market structure flaws can be eliminated by day-ahead contract-based Var reserve service market. Settlement of day-ahead Var reserve contract is formulated as a two-stage robust optimization (TSRO) model considering worst case of uncertainty realization and potential market power that may arise in hourly-ahead market. TSRO with integer recourses is then solved by a new column and constraint generation algorithm. Results show a robust Var reserve contract can fully eliminate market power, and prevent suppliers from manipulating market prices.
在放松管制的 Var 市场中，由于无功功率不能远距离传输，市场力量问题比能源市场更为严重。本文设计了一个多时间尺度的无功市场框架，通过基于日前合同的无功储备服务市场，可以消除由于系统配置缺陷和市场结构缺陷而可能在小时前无功支持服务市场中产生的市场支配力。考虑到不确定性实现的最坏情况和小时前市场可能出现的潜在市场支配力，将日前变量储备合同的结算制定为两阶段稳健优化（TSRO）模型。然后通过一种新的列和约束生成算法求解了具有整数资源的 TSRO。结果表明，稳健的 Var 储备合同可以完全消除市场力量，防止供应商操纵市场价格。
{"title":"Design of Robust Var Reserve Contract for Enhancing Reactive Power Ancillary Service Market Efficiency","authors":"Yunyang Zou;Yan Xu","doi":"10.17775/CSEEJPES.2023.05250","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05250","url":null,"abstract":"In a deregulated Var market, market power issue is more serious than in an energy market since reactive power cannot be transmitted over long distances. This letter designs a multi-timescale Var market framework, where market power that may arise in the hourly-ahead Var support service market due to system configuration deficiency and market structure flaws can be eliminated by day-ahead contract-based Var reserve service market. Settlement of day-ahead Var reserve contract is formulated as a two-stage robust optimization (TSRO) model considering worst case of uncertainty realization and potential market power that may arise in hourly-ahead market. TSRO with integer recourses is then solved by a new column and constraint generation algorithm. Results show a robust Var reserve contract can fully eliminate market power, and prevent suppliers from manipulating market prices.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"767-771"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375974","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fossil fuel depletion and environmental pollution problems promote development of renewable energy (RE) globally. With increasing penetration of RE, operation security and economy of power systems (PS) are greatly impacted by fluctuation and intermittence of renewable power. In this paper, information gap decision theory (IGDT) is adapted to handle uncertainty of wind power generation. Based on conventional IGDT method, linear regulation strategy (LRS) and robust linear optimization (RLO) method are integrated to reformulate the model for rigorously considering security constraints. Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS. Moreover, a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming (MILP) problem for convenient optimization without robustness loss. Finally, results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.
{"title":"Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach","authors":"Lianyong Zuo;Shengshi Wang;Yong Sun;Shichang Cui;Jiakun Fang;Xiaomeng Ai;Baoju Li;Chengliang Hao;Jinyu Wen","doi":"10.17775/CSEEJPES.2023.05980","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05980","url":null,"abstract":"Fossil fuel depletion and environmental pollution problems promote development of renewable energy (RE) globally. With increasing penetration of RE, operation security and economy of power systems (PS) are greatly impacted by fluctuation and intermittence of renewable power. In this paper, information gap decision theory (IGDT) is adapted to handle uncertainty of wind power generation. Based on conventional IGDT method, linear regulation strategy (LRS) and robust linear optimization (RLO) method are integrated to reformulate the model for rigorously considering security constraints. Then a robustness assessment method based on hybrid RLO-IGDT approach is proposed for analyzing robustness and economic performance of PS. Moreover, a risk-averse linearization method is adapted to convert the proposed assessment model into a mixed integer linear programming (MILP) problem for convenient optimization without robustness loss. Finally, results of case studies validate superiority of proposed method in guaranteeing operation security rigorously and effectiveness in assessment of RSR for PS without overestimation.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"518-529"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.17775/CSEEJPES.2022.01080
Yating Zhao;Zhi Wu;Wei Gu;Jingxuan Wang;Fujue Wang;Zhoujun Ma;Minqiang Hu
Industrial parks (IPs) play a crucial role in facilitating economic efficiency and comprehensive energy utilization in the industrial age. At the same time, multi-energy coupling and management of various types of energy in IP have become serious challenges. In this paper, combined heat and power unit (CHP) model considering operation mode switching characteristics is formulated by exploring its internal composition to improve output flexibility of the energy supply side. Then, heat and electricity integrated energy system (HE-IES) optimal dispatch and pricing model are established, taking electricity and heat demand response strategy and steam thermal inertia property into account. Based on the above models, a mixed-integer bilinear programming framework is designed to coordinate the day-ahead operation and pricing strategy of the HE-IES in the IP. The scenario study is carried out on a practical industrial park in Southern China. Numerical results indicate the proposed mechanism can effectively improve IP's energy utilization and economic efficiency.
在工业时代，工业园区（IP）在促进经济效益和能源综合利用方面发挥着至关重要的作用。与此同时，工业园区的多能耦合和各类能源的管理也成为严峻的挑战。本文通过探讨热电联产机组的内部组成，建立了考虑运行模式切换特性的热电联产机组模型，以提高能源供应端的输出灵活性。然后，考虑电力和热力需求响应策略以及蒸汽热惯性特性，建立了热电综合能源系统（HE-IES）优化调度和定价模型。在上述模型的基础上，设计了一个混合整数双线性规划框架，以协调 IP 中热电综合能源系统的日前运行和定价策略。在中国南方的一个实际工业园区进行了情景研究。数值结果表明，所提出的机制能有效提高工业园的能源利用率和经济效益。
{"title":"Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response","authors":"Yating Zhao;Zhi Wu;Wei Gu;Jingxuan Wang;Fujue Wang;Zhoujun Ma;Minqiang Hu","doi":"10.17775/CSEEJPES.2022.01080","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.01080","url":null,"abstract":"Industrial parks (IPs) play a crucial role in facilitating economic efficiency and comprehensive energy utilization in the industrial age. At the same time, multi-energy coupling and management of various types of energy in IP have become serious challenges. In this paper, combined heat and power unit (CHP) model considering operation mode switching characteristics is formulated by exploring its internal composition to improve output flexibility of the energy supply side. Then, heat and electricity integrated energy system (HE-IES) optimal dispatch and pricing model are established, taking electricity and heat demand response strategy and steam thermal inertia property into account. Based on the above models, a mixed-integer bilinear programming framework is designed to coordinate the day-ahead operation and pricing strategy of the HE-IES in the IP. The scenario study is carried out on a practical industrial park in Southern China. Numerical results indicate the proposed mechanism can effectively improve IP's energy utilization and economic efficiency.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"2174-2185"},"PeriodicalIF":6.9,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375985","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142408829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional analytical approaches for stability assessment of inverter-based resources (IBRs), often requiring detailed knowledge of IBR internals, become impractical due to IBRs' proprietary nature. Admittance measurements, relying on electromagnetic transient simulation or laboratory settings, are not only time-intensive but also operationally inflexible, since various non-linear control loops make IBRs' admittance models operating-point dependent. Therefore, such admittance measurements must be performed repeatedly when operating point changes. To avoid time-consuming and cumbersome measurements, admittance estimation for arbitrary operating points is highly desirable. However, existing admittance estimation algorithms usually face challenges in versatility, data demands, and accuracy. Addressing this challenge, this letter presents a simple and efficient admittance estimation method for black-boxed IBRs, by utilizing a minimal set of seven operating points to solve a homogeneous linear equation system. Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs. Estimation accuracy is satisfying even when non-negligible measurement errors exist.
{"title":"An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points","authors":"Weihua Zhou;Bin Liu;Nabil Mohammed;Behrooz Bahrani","doi":"10.17775/CSEEJPES.2023.07090","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.07090","url":null,"abstract":"Traditional analytical approaches for stability assessment of inverter-based resources (IBRs), often requiring detailed knowledge of IBR internals, become impractical due to IBRs' proprietary nature. Admittance measurements, relying on electromagnetic transient simulation or laboratory settings, are not only time-intensive but also operationally inflexible, since various non-linear control loops make IBRs' admittance models operating-point dependent. Therefore, such admittance measurements must be performed repeatedly when operating point changes. To avoid time-consuming and cumbersome measurements, admittance estimation for arbitrary operating points is highly desirable. However, existing admittance estimation algorithms usually face challenges in versatility, data demands, and accuracy. Addressing this challenge, this letter presents a simple and efficient admittance estimation method for black-boxed IBRs, by utilizing a minimal set of seven operating points to solve a homogeneous linear equation system. Case studies demonstrate this proposed method ensures high accuracy across various types of IBRs. Estimation accuracy is satisfying even when non-negligible measurement errors exist.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"421-426"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376018","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dependence of distributed generation (DG) outputs and load plays an essential role in renewable energy accommodation. This paper presents a novel DG hosting capacity (DGHC) evaluation method for distribution networks considering high-dimensional dependence relations among solar radiation, wind speed, and various load types (i.e., commercial, residential, and industrial). First, an advanced dependence modeling method called regular vine (R-vine) is applied to capture the complex dependence structure of solar radiation, wind speed, commercial loads, industrial loads, and residential loads. Then, a chance-constrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational risks. Finally, a Benders decomposition algorithm is also employed to reduce computational burden. The proposed approaches are validated using a set of historical data from China. Results show dependence among different DGs and loads has significant impact on hosting capacity. Results also suggest using the R-vine model to capture dependence among distributed energy resources (DERs) and load. This finding provides useful advice for distribution networks in installing renewable energy generations.
{"title":"DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands","authors":"Junyi Yang;Jiangmin Bao;Yuhan Hou;Han Wu;Qiang Li;Yue Yuan","doi":"10.17775/CSEEJPES.2021.07270","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.07270","url":null,"abstract":"Dependence of distributed generation (DG) outputs and load plays an essential role in renewable energy accommodation. This paper presents a novel DG hosting capacity (DGHC) evaluation method for distribution networks considering high-dimensional dependence relations among solar radiation, wind speed, and various load types (i.e., commercial, residential, and industrial). First, an advanced dependence modeling method called regular vine (R-vine) is applied to capture the complex dependence structure of solar radiation, wind speed, commercial loads, industrial loads, and residential loads. Then, a chance-constrained DGHC evaluation model is employed to figure out maximum hosting capacity of each DG and its optimal allocation plan with different operational risks. Finally, a Benders decomposition algorithm is also employed to reduce computational burden. The proposed approaches are validated using a set of historical data from China. Results show dependence among different DGs and loads has significant impact on hosting capacity. Results also suggest using the R-vine model to capture dependence among distributed energy resources (DERs) and load. This finding provides useful advice for distribution networks in installing renewable energy generations.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1011-1025"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-28DOI: 10.17775/CSEEJPES.2023.05960
Jian Hao;Jingwen Zhang;Wenyu Ye;Ruijing Liao;Lijun Yang
Use of traditional mineral oil (MO) as a liquid insulation in transformers has spanned more than 130 years. However, MO has poor heat resistance, a low ignition point, and is a non-renewable resource, which does not meet development requirements for high-performance and environmentally friendly insulation oil. Consequently, researchers have explored alternatives such as natural ester (NE) and synthetic ester (SE) oils, as well as mixed insulation oils. Mixed insulating oil is a blend of diverse insulating oil types, with optimal performance achieved by adjusting proportions of base oils. This article summarizes the innovative achievements and development of mixed insulation oil in terms of development of mixed ratio, basic physical chemical properties, electrical properties, thermal stability, and application including operation and maintenance technology. Through these efforts, this article aims to provide recommendations for future development of mixed insulating oils to advance liquid dielectric research based on enhancement mechanisms.
{"title":"Development of Mixed Insulation Oil as Alternative Liquid Dielectric: A Review","authors":"Jian Hao;Jingwen Zhang;Wenyu Ye;Ruijing Liao;Lijun Yang","doi":"10.17775/CSEEJPES.2023.05960","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.05960","url":null,"abstract":"Use of traditional mineral oil (MO) as a liquid insulation in transformers has spanned more than 130 years. However, MO has poor heat resistance, a low ignition point, and is a non-renewable resource, which does not meet development requirements for high-performance and environmentally friendly insulation oil. Consequently, researchers have explored alternatives such as natural ester (NE) and synthetic ester (SE) oils, as well as mixed insulation oils. Mixed insulating oil is a blend of diverse insulating oil types, with optimal performance achieved by adjusting proportions of base oils. This article summarizes the innovative achievements and development of mixed insulation oil in terms of development of mixed ratio, basic physical chemical properties, electrical properties, thermal stability, and application including operation and maintenance technology. Through these efforts, this article aims to provide recommendations for future development of mixed insulating oils to advance liquid dielectric research based on enhancement mechanisms.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1242-1258"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375972","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The high renewable penetrated power system has severe frequency regulation problems. Distributed resources can provide frequency regulation services but are limited by communication time delay. This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service. Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation. We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance. Besides, we study communication resources allocation solution in high renewable energy penetrated power systems. We provide a case study based on the HRP-38 system. Results show communication time delay decreases distributed resources' ability to provide frequency regulation service. On the other hand, allocating more communication resources to distributed resources' communication services improves their frequency regulation performance. For power systems with renewable energy penetration above 70%, required communications resources are about five times as many as 30% renewable energy penetrated power systems to keep frequency performance the same.
{"title":"Communication Resources Allocation for Time Delay Reduction of Frequency Regulation Service in High Renewable Penetrated Power System","authors":"Hongjie He;Ning Zhang;Chongqing Kang;Song Ci;Fei Teng;Goran Strbac","doi":"10.17775/CSEEJPES.2023.07630","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.07630","url":null,"abstract":"The high renewable penetrated power system has severe frequency regulation problems. Distributed resources can provide frequency regulation services but are limited by communication time delay. This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service. Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation. We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance. Besides, we study communication resources allocation solution in high renewable energy penetrated power systems. We provide a case study based on the HRP-38 system. Results show communication time delay decreases distributed resources' ability to provide frequency regulation service. On the other hand, allocating more communication resources to distributed resources' communication services improves their frequency regulation performance. For power systems with renewable energy penetration above 70%, required communications resources are about five times as many as 30% renewable energy penetrated power systems to keep frequency performance the same.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 2","pages":"468-480"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10376006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140351489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.17775/CSEEJPES.2022.06060
Kanhaiya Kumar;Saran Satsangi;Ganesh Balu Kumbhar
A transformer is an essential but expensive power delivery equipment for a distribution utility. In many distribution utilities worldwide, a sizable percentage of transformers are near the end of their designed life. At the same time, distribution utilities are adopting smart inverter-based distributed solar photovoltaic (SPV) systems to maximize renewable generation. The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers. The proposed method is first tested on a modified IEEE-123 node distribution feeder. After that, the procedure is applied to a practical distribution system, i.e., the Indian Institute of Technology (IIT) Roorkee campus, India. The transformer aging models, alongside advanced control functionalities of grid-tied smart inverter-based SPV systems, are implemented in MATLAB. The open-source simulation tool (OpenDSS) is used to model distribution net-works. To analyze effectiveness of various inverter functionalities, time-series simulations are performed using exponential load models, considering daily load curves from multiple seasons, load types, current harmonics, etc. Findings show replacing a traditional inverter with a smart inverter-based SPV system can enable local reactive power generation and may extend the life of a distribution transformer. Simulation results demonstrate, simply by incorporating smart inverter-based SPV systems, transformer aging is reduced by 15% to 22% in comparison to SPV systems operating with traditional inverters.
{"title":"Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems","authors":"Kanhaiya Kumar;Saran Satsangi;Ganesh Balu Kumbhar","doi":"10.17775/CSEEJPES.2022.06060","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.06060","url":null,"abstract":"A transformer is an essential but expensive power delivery equipment for a distribution utility. In many distribution utilities worldwide, a sizable percentage of transformers are near the end of their designed life. At the same time, distribution utilities are adopting smart inverter-based distributed solar photovoltaic (SPV) systems to maximize renewable generation. The central objective of this paper is to propose a methodology to quantify the effect of smart inverter-based distributed SPV systems on the aging of distribution transformers. The proposed method is first tested on a modified IEEE-123 node distribution feeder. After that, the procedure is applied to a practical distribution system, i.e., the Indian Institute of Technology (IIT) Roorkee campus, India. The transformer aging models, alongside advanced control functionalities of grid-tied smart inverter-based SPV systems, are implemented in MATLAB. The open-source simulation tool (OpenDSS) is used to model distribution net-works. To analyze effectiveness of various inverter functionalities, time-series simulations are performed using exponential load models, considering daily load curves from multiple seasons, load types, current harmonics, etc. Findings show replacing a traditional inverter with a smart inverter-based SPV system can enable local reactive power generation and may extend the life of a distribution transformer. Simulation results demonstrate, simply by incorporating smart inverter-based SPV systems, transformer aging is reduced by 15% to 22% in comparison to SPV systems operating with traditional inverters.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"88-95"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322702","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139694987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-17DOI: 10.17775/CSEEJPES.2021.07900
Haiting Shan;Luliang Zhang;Q. H. Wu;Mengshi Li
Sparse measurements challenge fault location in distribution networks. This paper proposes a method for asymmetric ground fault location in distribution networks with limited measurements. A virtual injected current vector is formulated to estimate the fault line, which can be reconstructed from voltage sags measured at a few buses using compressive sensing (CS). The relationship between the virtual injected current ratio (VICR) and fault position is deduced from circuit analysis to pinpoint the fault. Furthermore, a two-stage recovery strategy is proposed for improving reconstruction accuracy of the current vector, where two different sensing matrixes are utilized to improve the incoherence. The proposed method is validated in IEEE 34 node test feeder. Simulation results show asymmetric ground fault type, resistance, fault position and access of distributed generators (DGs) do not significantly influence performance of our method. In addition, it works effectively under various scenarios of noisy measurement and line parameter error. Validations on 134 node test feeders prove the proposed method is also suitable for systems with more complex structure.
{"title":"Location of Asymmetric Ground Fault Using Virtual Injected Current Ratio and Two-stage Recovery Strategy in Distribution Networks","authors":"Haiting Shan;Luliang Zhang;Q. H. Wu;Mengshi Li","doi":"10.17775/CSEEJPES.2021.07900","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.07900","url":null,"abstract":"Sparse measurements challenge fault location in distribution networks. This paper proposes a method for asymmetric ground fault location in distribution networks with limited measurements. A virtual injected current vector is formulated to estimate the fault line, which can be reconstructed from voltage sags measured at a few buses using compressive sensing (CS). The relationship between the virtual injected current ratio (VICR) and fault position is deduced from circuit analysis to pinpoint the fault. Furthermore, a two-stage recovery strategy is proposed for improving reconstruction accuracy of the current vector, where two different sensing matrixes are utilized to improve the incoherence. The proposed method is validated in IEEE 34 node test feeder. Simulation results show asymmetric ground fault type, resistance, fault position and access of distributed generators (DGs) do not significantly influence performance of our method. In addition, it works effectively under various scenarios of noisy measurement and line parameter error. Validations on 134 node test feeders prove the proposed method is also suitable for systems with more complex structure.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"151-161"},"PeriodicalIF":7.1,"publicationDate":"2023-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10322703","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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