2022 12th International Conference on Power and Energy Systems (ICPES)最新文献_第7页

Combined Frequency and Voltage Support by Wind Farm with Linear Quadratic Regulator under Converter Blocking 变流器阻塞下风电场线性二次型调节器的频率电压联合支持

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073355

Xudong Li, Hua Li, Yichen Yan, Peng Kou

引用次数: 0

Optimal Regulation of ‘Source-Grid-Load-Storage’ Interaction Based on State Based Potential Game 基于状态势博弈的“源-网-负荷-蓄”交互优化调控

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073301

Bo Li, Weinian Ouyang, Tianlun Wang, Zhirui Tang, Tingwei Chen, Zefu Wang

引用次数: 0

Research on Influence and Parameter Optimization of Voltage Ride through Control Strategies of Energy Storage in Renewable Energy Power Sending System 可再生能源发电系统储能对电压穿越控制策略的影响及参数优化研究

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073145

Wu Junling, Dai Hanyang, Su Lining

{"title":"Research on Influence and Parameter Optimization of Voltage Ride through Control Strategies of Energy Storage in Renewable Energy Power Sending System","authors":"Wu Junling, Dai Hanyang, Su Lining","doi":"10.1109/ICPES56491.2022.10073145","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10073145","url":null,"abstract":"Energy storage is an effective means to ensure the consumption of renewable energy and the supply to power consumers in the new power system, which will be widely applied. As energy storage is also a kind of power electronic equipment, its low/high voltage ride through (LVRT/HVRT) transient characteristics will have positive or negative impacts on the safety of power grid, especially on the transient stability and temporary overvoltage (TOV) problems. In order to make full use of the flexible regulation ability of energy storage and make it play a positive role to the safety of power grid, this paper sorted out the typical power transmission mode of large scale renewable energy bases in China and constructed a typical model of wind-solar-thermal-storage combined system. On this basis, the principle of the influence of the LVRT/HVRT transient characteristics of the energy storage on the transient stability of the sending end system and the TOV of renewable energy generation unit is analyzed. Then, the optimization direction of the key control parameters for LVRT/HVRT of energy storage was studied through simulation by PSD-BPA. Finally, the differentiated technical requirements were proposed.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"31 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":"134223237","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

An Optimalized Power System Stability Control Structure Based on Breaker Failure Protection as Backup 基于断路器故障保护的电力系统稳定控制优化结构

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072710

Yiqi Dang, Hua Wang, Lei Liu, Wenzhe Chen, Hongxiang Xu, Wei Han, W. Ma

引用次数: 0

Solar Power Generation System Based on Signal Search Artificial Bee Colony Optimization Algorithm for Maximum Power Point Tracking 基于信号搜索的太阳能发电系统最大功率点跟踪人工蜂群优化算法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072495

Akwasi Amoh Mensah, Haoyong Chen, Duku Otuo-Acheampong, Tumbiko Mbuzi

引用次数: 0

Single Pole Ground Fault Location Method for LCC-MMC Hybrid DC Transmission Lines Based on Extremely Randomized Trees 基于极度随机树的LCC-MMC混合直流线路单极接地故障定位方法

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10073364

Zhichuan Li, Sheng Lan, Ke Wei

引用次数: 0

Ultra Short Term Distributed Photovoltaic Power Prediction Based on Satellite Cloud Images Considering Spatiotemporal Correlation 考虑时空相关性的卫星云图超短期分布式光伏发电功率预测

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072484

Ma Yuan, Ding Ran, Yao Yiming, Geng Yan, Shao Yinchi, Wang Xiaoxiao

{"title":"Ultra Short Term Distributed Photovoltaic Power Prediction Based on Satellite Cloud Images Considering Spatiotemporal Correlation","authors":"Ma Yuan, Ding Ran, Yao Yiming, Geng Yan, Shao Yinchi, Wang Xiaoxiao","doi":"10.1109/ICPES56491.2022.10072484","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072484","url":null,"abstract":"With the advancement of China's carbon peaking and carbon neutrality goals and the development of photovoltaic power generation technology, a large scale of distributed photovoltaics are connected to the rural distribution network in recent years. Photovoltaic power generation features high randomness and uncertainty, Accurate prediction of distributed PV power on ultra-short-term time scale (0-4h) is of great significance to the safe and stable operation of distribution network. This paper proposes a prediction algorithm based on satellite cloud images considering spatiotemporal correlation between solar stations nearby. Firstly, correlation between adjacent power plants are sorted, corresponding prediction models based on LSTM are built using historical power and NWP data, then satellite images are used to choose suitable prediction models for prediction when forecasting. With the actual dataset of photovoltaic power station in northeast China, The proposed algorithm is verified, the test results show that the proposed algorithm proposed in this paper is generally at a better accuracy level compared with other well-established benchmarks in terms of power curve and statistical error.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"387 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":"131986929","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

Local Interlock Control System with Fail-Safe PLC for PF Converter System Based on CODAC Core System 基于CODAC核心系统的PF变换器故障安全PLC局部联锁控制系统

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072659

Shiying He, Liansheng Huang, Xiaojiang Chen, Xiuqing Zhang, Zejing Wang, Lingpeng Li, Ying Zuo

引用次数: 0

Grid-Connected Photovoltaic LVRT Strategy Based on Improved DDSRF-PLL and Reactive Power Control 基于改进DDSRF-PLL和无功控制的并网光伏LVRT策略

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072847

W. Ma, Houlei Gao, Haoran Song, Yunchi Zhang

{"title":"Grid-Connected Photovoltaic LVRT Strategy Based on Improved DDSRF-PLL and Reactive Power Control","authors":"W. Ma, Houlei Gao, Haoran Song, Yunchi Zhang","doi":"10.1109/ICPES56491.2022.10072847","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072847","url":null,"abstract":"When the grid voltage contains high harmonics, decouple double synchronous reference frame phase lock loop (DDSRF-PLL) will not extract the synchronizing information accurately. And conventional grid-connected control strategy makes insufficient use of photovoltaic (PV) inverter's reactive power output capacity when grid is faulty. For above problem, this paper proposes a low voltage riding through control strategy based on improved DDSRF-PLL and reactive current control. After analyzing the structure of DDSRF-PLL module, high-order harmonic filters are introduced before decoupling calculation, so that the module can extract grid synchronizing information and positive/negative sequence value more accurately. Furthermore, by establishing relationship between voltage drop and output reactive current, PV inverter can provide reactive power support required from grid during LVRT, and provide active power as much as possible. When bus capacitor voltage rises due to power imbalance between front and rear stage of system, the crowbar circuit is used to ensure DC voltage stability. Finally, A simulation model is build in MATLAB/simulink to verify the effectiveness of this LVRT strategy.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"24 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":"116427414","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

Residential Load Forecasting Based on CNN-LSTM and Non-uniform Quantization 基于CNN-LSTM和非均匀量化的住宅负荷预测

2022 12th International Conference on Power and Energy Systems (ICPES) Pub Date : 2022-12-23 DOI: 10.1109/ICPES56491.2022.10072605

Qiyao He, Yongxin Su

{"title":"Residential Load Forecasting Based on CNN-LSTM and Non-uniform Quantization","authors":"Qiyao He, Yongxin Su","doi":"10.1109/ICPES56491.2022.10072605","DOIUrl":"https://doi.org/10.1109/ICPES56491.2022.10072605","url":null,"abstract":"Accurate residential load forecasting plays an important role to improve the economy and security of power system operation. However, as the unbalanced distribution of residential load and the intertwined effects of multiple factors, it is difficult for a single neural network to make accurate predictions and its ability to generalize is limited. In this regard, this paper proposes a CNN-LSTM and non-uniform quantization based method for one-hour ahead residential load forecasting. First, we solve the unbalanced distribution of residential load by non-uniform quantization, which converts the load to an approximately normal distribution and fits the learning of neural networks. Then, the equivalent load after non-uniform quantization and its influencing factors are interwoven to form intertwining diagrams to facilitate the extraction of nonlinear relationships. Next, considering the intertwined effects of multiple factors, we use CNN-LSTM to extract temporal and spatial characteristics between multiple factors and cope with complex load patterns. We train and validate the proposed method using a real-world dataset, and the experiment results show that the proposed method outperforms the existing load forecasting methods.","PeriodicalId":425438,"journal":{"name":"2022 12th International Conference on Power and Energy Systems (ICPES)","volume":"20 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":"114427326","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