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

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

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

Development of Mixed Insulation Oil as Alternative Liquid Dielectric: A Review 开发混合绝缘油作为替代液体电介质：综述

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.2023.05960

Jian Hao;Jingwen Zhang;Wenyu Ye;Ruijing Liao;Lijun Yang

{"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}

引用次数: 0

Communication Resources Allocation for Time Delay Reduction of Frequency Regulation Service in High Renewable Penetrated Power System 在可再生能源高度渗透的电力系统中分配通信资源以减少频率调节服务的时间延迟

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.2023.07630

Hongjie He;Ning Zhang;Chongqing Kang;Song Ci;Fei Teng;Goran Strbac

{"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}

引用次数: 0

Extension of Distribution Transformer Life in the Presence of Smart Inverter-based Distributed Solar Photovoltaic Systems 延长基于智能逆变器的分布式太阳能光伏系统的配电变压器寿命

IF 7.1 2区工程技术

CSEE Journal of Power and Energy Systems Pub Date : 2023-11-17 DOI: 10.17775/CSEEJPES.2022.06060

Kanhaiya Kumar;Saran Satsangi;Ganesh Balu Kumbhar

{"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}

引用次数: 0