2022 12th International Conference on Power and Energy Systems (ICPES)最新文献_第5页

Topology Identification of Medium Voltage Distribution Network Based on Copula Entropy 基于Copula熵的中压配电网拓扑识别

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072917

Yingjie Tian, Fan Li, Yi Wu, Haoran Chen, Chengze Li, Xiu Yang

{"title":"Topology Identification of Medium Voltage Distribution Network Based on Copula Entropy","authors":"Yingjie Tian, Fan Li, Yi Wu, Haoran Chen, Chengze Li, Xiu Yang","doi":"10.1109/ICPES56491.2022.10072917","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072917","url":null,"abstract":"In order to solve the problems of frequent changes in distribution network topology and difficult topology identification, a topology identification method for medium voltage distribution network based on Copula entropy (CE) is proposed. First, a Copula function containing multivariable dependencies is established. Second, the CE defined by the Copula function is estimated by using the nonparametric method to obtain the Copula entropy correlation matrix between nodes. Finally, the maximum spanning tree algorithm is used to complete the topology identification of the medium voltage distribution network. The method measures the precision of the dependency of global variables, and the measured dependency is not related to the attributes of a single variable, and the local optimal problem is avoided. At the same time, this method has no linear and Gaussian assumptions, which is more conducive to the application in the actual distribution network in the future. The effectiveness and robustness of the proposed method are verified by IEEE33 bus distribution network simulation, and it shows some advantages over the existing methods.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128754000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Research on Carbon Emission Optimization Strategy of Regional Power Grid Based on Interior Point Optimization Algorithm 基于内点优化算法的区域电网碳排放优化策略研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072532

Cong Ji, Zhiying Zhong, Fei Yin, Quan Sun, Zuo-liang Chen

{"title":"Research on Carbon Emission Optimization Strategy of Regional Power Grid Based on Interior Point Optimization Algorithm","authors":"Cong Ji, Zhiying Zhong, Fei Yin, Quan Sun, Zuo-liang Chen","doi":"10.1109/ICPES56491.2022.10072532","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072532","url":null,"abstract":"Under the background of the national dual carbon strategy, it is very necessary for power enterprises to give full play to their subjective initiative and carry out the research on the optimization strategy of carbon emission reduction based on the allocation of existing power generation resources. Based on the full study of the relationship between power grid power flow and carbon emission, this paper puts forward the indicators such as carbon emission per kWh and electricity carbon neutralization index, constructs the regional power grid carbon emission optimization model as a link, and uses the primal dual interior point method to optimize the unit output. Taking a typical day of a regional power grid as an example, the carbon emission reduction calculation is carried out according to the two stages of unified dispatching unit optimization and self owned power plant optimization. The relevant results show that the carbon emission indicators proposed in this paper can well characterize the carbon emission level of the regional power grid, the carbon emission optimization model is accurate and reliable, and the optimization strategy results can be used as an important reference for the carbon emission reduction of power grid regulators [1].","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128911940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Design of Household Electricity Consumption with Distributed Photovoltaic System Based on User Demand Response 基于用户需求响应的分布式光伏系统家庭用电优化设计

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073120

Hanjun Deng, M. Yu, Suihan Zhang, Xing He, Yeqing Ma, Rui Ma, Rui Huang, Wenwei Zeng, Jiale Li

引用次数: 0

Calculation of Characteristic Parameters of Short-Circuit Current of Power Transformer Based on MPM 基于MPM的电力变压器短路电流特征参数计算

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073116

Qin Yan, Xianqiang Li, Kang He, Qi Wang

引用次数: 0

A Multi-dimensional Division Decision Model of Power Grid Management Based on Fuzzy Matching 基于模糊匹配的电网管理多维划分决策模型

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072935

Chenying Feng, Xiaodong Xu, Jinsong Jia, ChenShu Shen, Zehua Chen

{"title":"A Multi-dimensional Division Decision Model of Power Grid Management Based on Fuzzy Matching","authors":"Chenying Feng, Xiaodong Xu, Jinsong Jia, ChenShu Shen, Zehua Chen","doi":"10.1109/ICPES56491.2022.10072935","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072935","url":null,"abstract":"The power grid operation management process will produce a lot of text information data. However, there is no direct and precise correspondence between the key items in the textual records and the management sectors of the grid. Thus, the matching of the textual data and the management sectors of power grid operation and management is still mainly done by human resources. In order to improve the automation and efficiency of power grid operation and management, a matching decision model for power grid management sectors based on fuzzy matching is proposed. Firstly, a gravitational coefficient matrix is constructed to reflect the degree of association between the text keywords and each management sector of the power grid. Then, a scalar matrix is constructed to reflect the keyword information of the text data, and then the scalar matrix is multiplied with the mass matrix to obtain the fuzzy matching degree of the text data and each power grid management sector. Finally, the matching power grid management sector is selected according to the fuzzy matching degree matrix. In the case analysis part, 570 grid operation texts of a power company were taken as samples. The results show that the proposed fuzzy theory-based power grid management sector matching decision model has high matching accuracy and can achieve the management sector identification of power grid operation management text data.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116655529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed Renewable Energy Cluster Configuration Based on Improved Bare-Bones Multi-objective Particle Swarm Optimization 基于改进裸骨架多目标粒子群优化的分布式可再生能源集群配置

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073230

Jinrong Chen, Bo Li, Weinian Ouyang, Tianlun Wang, Tingwei Chen

{"title":"Distributed Renewable Energy Cluster Configuration Based on Improved Bare-Bones Multi-objective Particle Swarm Optimization","authors":"Jinrong Chen, Bo Li, Weinian Ouyang, Tianlun Wang, Tingwei Chen","doi":"10.1109/ICPES56491.2022.10073230","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073230","url":null,"abstract":"A bi-level optimal allocation model of renewable energy cluster planning and operation is established in order to maximize the consumption of renewable energy based on the security and stability of the power system are ensured. The planning layer applied the particle swarm optimization algorithm, and the results were used as the input of the operation layer. The optimization model of the operation layer used the CVX toolbox, and the output results are used to evaluate the planning results. An improved bare-bones multi-objective particle swarm optimizer (IBB-MOPSO) algorithm is proposed to overcome the shortcomings of traditional particle swarm optimization (PSO), including the lack of diversity and easy to fall into local optimum. Building on the advantages of the bare-bones particle swarm algorithm (BB-PSO) with high adaptability and few control parameters, the global search and local exploitation capabilities are further enhanced by improvements. The effectiveness of the optimization configuration model and the solution algorithm is verified through the numerical simulations. The proposed method is universal, as the appropriate optimal solution can be selected according to specific demands for configuration in practical applications.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117017260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial-Temporal Inertia Oriented Operation Scheduling of Power System with Offshore Wind Farms 面向时空惯性的海上风电场电力系统运行调度

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072579

Gu Miaosong, He Yanhua, Zhu Chao, Wu Ying, Li Guoqiang, B. Rong, Ma Zekai, Mo Weike, Qi Xiao

引用次数: 0

Research on Quantitative Comprehensive Evaluation Method of Regulation Ability of Low-Voltage Distributed Renewable Energy Aggregators 低压分布式可再生能源集热器调节能力定量综合评价方法研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072601

Jinrong Chen, Xiang Li, Guozhang Li, Feijin Peng, Jingyao Zeng

引用次数: 0

Fast Open-Switch Fault Diagnosis Based on Model Reference Adaptive Theory Applied to Inverter System 基于模型参考自适应理论的开路开关故障快速诊断在逆变系统中的应用

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073066

Haoran Yin, Qing Chen, Xing Guo, Xinyuan Qiu, Xuxing Duan, Xiangji Zhao

引用次数: 0

Break-Even Analysis of Reactive Power Compensation in Power Grid Enterprises 电网企业无功补偿的盈亏平衡分析

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073292

Haijing Zhang, Xiaohui Liu, Chang Cheng, Ranran Li, Shen Xiao, Zhicheng Sun, Ran Zhang, Hongjian Ding

引用次数: 0