CSEE Journal of Power and Energy Systems最新文献_第9页

Advanced Sensors Towards Ubiquitous Power Internet of Things 实现无处不在的电力物联网的先进传感器

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.05850

Jinliang He;Zhifei Han;Jun Hu

引用次数: 0

Investigation on Degradation Path of SF6 in Packed-Bed Plasma: Effect of Plasma-generated Radicals 研究 SF6 在填料床等离子体中的降解路径：等离子体产生的自由基的影响

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2022.05910

Zhaolun Cui;Chang Zhou;Amin Jafarzadeh;Xiaoxing Zhang;Peng Gao;Licheng Li;Yanpeng Hao

{"title":"Investigation on Degradation Path of SF6 in Packed-Bed Plasma: Effect of Plasma-generated Radicals","authors":"Zhaolun Cui;Chang Zhou;Amin Jafarzadeh;Xiaoxing Zhang;Peng Gao;Licheng Li;Yanpeng Hao","doi":"10.17775/CSEEJPES.2022.05910","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2022.05910","url":null,"abstract":"SF\u0000<inf>6</inf>\u0000degradation mechanism in non-thermal plasma (NTP) systems is not fully understood due to the formation of a complex physico-chemical reaction network, especially when reactive gases and packing materials are involved. In this work, we conduct a combined experimental and theoretical study to unravel the SF\u0000<inf>6</inf>\u0000 degradation path in a γ-Al\u0000<inf>2</inf>\u0000O\u0000<inf>3</inf>\u0000packed plasma in the presence of H\u0000<inf>2</inf>\u0000O or O\u0000<inf>2</inf>\u0000. Our experimental results show that both H\u0000<inf>2</inf>\u0000O and O\u0000<inf>2</inf>\u0000 have a synergetic effect with γ-A1\u0000<inf>2</inf>\u0000O\u0000<inf>3</inf>\u0000 packing on promoting SF\u0000<inf>6</inf>\u0000 degradation, leading to higher stable gas yields than typical spark or corona discharges. HO or O\u0000<inf>2</inf>\u0000addition promotes SO\u0000<inf>2</inf>\u0000or SO\u0000<inf>2</inf>\u0000F\u0000<inf>2</inf>\u0000 selectivity, respectively. Density functional theory (DFT) calculations reveal that SO\u0000<inf>2</inf>\u0000 generation corresponding with the highest activation barrier is the most critical step toward SF\u0000<inf>6</inf>\u0000 degradation. Radicals like H and O generated from H\u0000<inf>2</inf>\u0000O or O\u0000<inf>2</inf>\u0000 discharge can significantly promote the degradation process via Eley-Rideal mechanism, affecting key reactions of stable product generation, advancing degradation efficiency. The results of this work could provide insights on further understanding SF\u0000<inf>6</inf>\u0000 degradation mechanism especially in packed-bed plasma systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 3","pages":"1231-1241"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375998","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304075","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}

引用次数: 0

Hierarchical Task Planning for Power Line Flow Regulation 电力线流量调节的分层任务规划

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.00620

Chenxi Wang;Youtian Du;Yanhao Huang;Yuanlin Chang;Zihao Guo

{"title":"Hierarchical Task Planning for Power Line Flow Regulation","authors":"Chenxi Wang;Youtian Du;Yanhao Huang;Yuanlin Chang;Zihao Guo","doi":"10.17775/CSEEJPES.2023.00620","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2023.00620","url":null,"abstract":"The complexity and uncertainty in power systems cause great challenges to controlling power grids. As a popular data-driven technique, deep reinforcement learning (DRL) attracts attention in the control of power grids. However, DRL has some inherent drawbacks in terms of data efficiency and explainability. This paper presents a novel hierarchical task planning (HTP) approach, bridging planning and DRL, to the task of power line flow regulation. First, we introduce a three-level task hierarchy to model the task and model the sequence of task units on each level as a task planning-Markov decision processes (TP-MDPs). Second, we model the task as a sequential decision-making problem and introduce a higher planner and a lower planner in HTP to handle different levels of task units. In addition, we introduce a two-layer knowledge graph that can update dynamically during the planning procedure to assist HTP. Experimental results conducted on the IEEE 118-bus and IEEE 300-bus systems demonstrate our HTP approach outperforms proximal policy optimization, a state-of-the-art deep reinforcement learning (DRL) approach, improving efficiency by 26.16% and 6.86% on both systems.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 1","pages":"29-40"},"PeriodicalIF":7.1,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375975","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139695065","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}

引用次数: 0

Zero-Phase CARIMA Filtering and Application in Wind-Storage System Sizing and Power Dispatch Optimization 零相 CARIMA 滤波及在风能-储能系统选型和电力调度优化中的应用

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2022.06930

Wei Wang;Peng Chen;Guorui Ren;Jizhen Liu;Fang Fang;Zhe Chen

{"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}

引用次数: 0

Design of Robust Var Reserve Contract for Enhancing Reactive Power Ancillary Service Market Efficiency 设计稳健的变储备合同以提高无功功率辅助服务市场效率

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.05250

Yunyang Zou;Yan Xu

引用次数: 0

Robustness Assessment of Wind Power Generation Considering Rigorous Security Constraints for Power System: A Hybrid RLO-IGDT Approach 考虑电力系统严格安全约束的风力发电鲁棒性评估：RLO-IGDT 混合方法

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.05980

Lianyong Zuo;Shengshi Wang;Yong Sun;Shichang Cui;Jiakun Fang;Xiaomeng Ai;Baoju Li;Chengliang Hao;Jinyu Wen

{"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}

引用次数: 0

Optimal Dispatch and Pricing of Industrial Parks Considering CHP Mode Switching and Demand Response 考虑热电联产模式切换和需求响应的工业园区优化调度与定价

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2022.01080

Yating Zhao;Zhi Wu;Wei Gu;Jingxuan Wang;Fujue Wang;Zhoujun Ma;Minqiang Hu

{"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}

引用次数: 0

Achieving an Accurate Random Process Model for PV Power Using Cheap Data: Leveraging the SDE and Public Weather Reports 利用廉价数据实现准确的光伏发电随机过程模型：利用SDE和公共天气报告

IF 6.9 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2021.09640

Yiwei Qiu;Jin Lin;Zhipeng Zhou;Ningyi Dai;Feng Liu;Yonghua Song

{"title":"Achieving an Accurate Random Process Model for PV Power Using Cheap Data: Leveraging the SDE and Public Weather Reports","authors":"Yiwei Qiu;Jin Lin;Zhipeng Zhou;Ningyi Dai;Feng Liu;Yonghua Song","doi":"10.17775/CSEEJPES.2021.09640","DOIUrl":"https://doi.org/10.17775/CSEEJPES.2021.09640","url":null,"abstract":"Stochastic differential equation (SDE)-based random process models of renewable energy sources (RESs) jointly capture evolving probability distribution and temporal correlation in continuous time. It enabled recent studies to remarkably improve performance of power system dynamic uncertainty quantification and optimization. However, considering the non-homogeneous random process nature of PV, there still remains a challenging question: how can a realistic and accurate daily SDE model for PV power be obtained that reflects its weather-dependent and non-Gaussian uncertainty in operation, especially when high-resolution numerical weather prediction (NWP) or sky imager is unavailable for many distributed plants? To fill this gap, this article finds that an accurate SDE model for PV power can be constructed only using the data from low-resolution public weather reports. Specifically, for each day, an hourly parameterized Jacobi diffusion process recreates temporal patterns of PV volatility. Its parameters are mapped from the day's public weather reports to reflect varying weather conditions using a simple learning model. The SDE model jointly captures intraday and intrahour volatility. Statistical examination shows that the proposed approach outperforms a selection of the latest deep learning-based time series models on real-world data collected in Macau.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"11 1","pages":"124-135"},"PeriodicalIF":6.9,"publicationDate":"2023-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10375973","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143430405","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}

引用次数: 0

An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points 估算基于黑盒子逆变器的资源在不同工作点上的导纳的有效方法

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2023.07090

Weihua Zhou;Bin Liu;Nabil Mohammed;Behrooz Bahrani

{"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}

引用次数: 0

DG Hosting Capacity Assessment Considering Dependence Among Wind Speed, Solar Radiation, and Load Demands 考虑风速、太阳辐射和负载需求之间的依赖关系的风电机组托管容量评估

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-12-28 DOI: 10.17775/CSEEJPES.2021.07270

Junyi Yang;Jiangmin Bao;Yuhan Hou;Han Wu;Qiang Li;Yue Yuan

{"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}

引用次数: 0