2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)最新文献_第6页

Joint Source-Load Optimal Scheduling Considering Demand Response and Flexible Supply-Demand Balance 考虑需求响应和灵活供需平衡的联合源负荷最优调度

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030122

Chen Junsheng, Liu Lijun, Xu Hanwei, Huang Weidong, Lin Yufang

{"title":"Joint Source-Load Optimal Scheduling Considering Demand Response and Flexible Supply-Demand Balance","authors":"Chen Junsheng, Liu Lijun, Xu Hanwei, Huang Weidong, Lin Yufang","doi":"10.1109/CEECT55960.2022.10030122","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030122","url":null,"abstract":"From the source-load perspective, considering the safety operation constraints of grid dispatching, a dispatching model that takes into account flexible load demand response and power system flexibility is established. Based on the price-based demand response and highly flexible load model, the flexible load demand response model is built to respond to the level of wind-photovoltaic output, guide load-side users to change their power consumption behavior, regulate the demand for power system flexibility and improve the consumption rate of new energy. Based on the supply-demand balance mechanism of power system flexibility and the uncertainty of wind-photovoltaic output and load, we construct power system flexibility indexes in different time scales, combine with the comprehensive economic cost index of grid operation, consider source-load coordination, design joint optimal dispatching strategy, and generate typical scenarios based on improved deep embedding clustering algorithm to establish optimal dispatching model, so as to reduce the influence of uncertainty of wind-photovoltaic output and load demand on the optimization results. The uncertainty of wind-photovoltaic output and load demand can reduce the impact on the optimization results. Finally, the feasibility and rationality of the proposed model are verified by an example analysis of a regional power grid.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128567979","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

Multi-objective Optimization Scheduling Problem of VPP on Generation Side and Demand Side based on Time-of-use Electricity Price 基于分时电价的发电侧和需求侧VPP多目标优化调度问题

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030318

Yongbo Li, Honghu Cheng, Zhemin Lin, Sheng Wang, Xijun Ren, Yutong Ye

引用次数: 0

Distribution Network Topology Control Using Attention Mechanism-Based Deep Reinforcement Learning 基于注意机制的深度强化学习的配电网络拓扑控制

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030642

Zhifeng Qiu, Yanan Zhao, Wenbo Shi, Fengrui Su, Zhou Zhu

{"title":"Distribution Network Topology Control Using Attention Mechanism-Based Deep Reinforcement Learning","authors":"Zhifeng Qiu, Yanan Zhao, Wenbo Shi, Fengrui Su, Zhou Zhu","doi":"10.1109/CEECT55960.2022.10030642","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030642","url":null,"abstract":"As the distributed energy mainly based on wind and solar energy continues to be incorporated into the power grid, its automatic control and management has become a very complicated task, and it needs to seek more intelligent control technology. In this paper, a deep reinforcement learning method SAC (Soft Actor-Critic) combined with attention mechanism is proposed to manage power grid. This method changes the line connection and bus distribution of the substation by adjusting the topology structure of the power grid, so that it can transmit power efficiently. And by assigning different feature weights, the attention mechanism enables the neural network to focus on the input that is more relevant to the current target task from a large number of grid input feature states, which enhances the robustness and computational efficiency of the model. And Experiments have proved that our algorithm can automatically manage three different size distribution networks IEEE-5, IEEE-14 and L2RPN WCCI 2020 for three days without experts' help and make sure them run properly and safely.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127269012","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

Distributionally Robust Planning of Distribution Network Considering Flexibility of DSR 考虑DSR灵活性的配电网鲁棒规划

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030725

Hao Wang, Xin Ai, Xueqing Li, Xian Pan

引用次数: 0

Intelligent Controller Design of High-Voltage Switchgear Heat Dissipation and Dehumidification Device Based on Embedded System 基于嵌入式系统的高压开关柜散热除湿装置智能控制器设计

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030638

Li Rui, Xie Hao

引用次数: 0

Cascade Failure Propagation in Electric Vehicle Charging Systems Considering Load Redistribution 考虑负荷再分配的电动汽车充电系统级联故障传播

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030589

Tianze Zhang, Pengyu Fan, Difei Tang

{"title":"Cascade Failure Propagation in Electric Vehicle Charging Systems Considering Load Redistribution","authors":"Tianze Zhang, Pengyu Fan, Difei Tang","doi":"10.1109/CEECT55960.2022.10030589","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030589","url":null,"abstract":"A significant tendency in the evolution of electric vehicles (EVs) is the large-scale interconnection of power and traffic systems. When the power system failure occurs due to the extreme events, the resulting disturbances may propagate to the traffic system, which may lead to the cascading failures. This paper proposes a framework for analyzing the propagation characteristics and cascading failure of EV charging system in the coupled traffic-power system. The multilayer system theory is employed to model the power system, EV charging system, and traffic system. In order to analyze the cascading failure propagation characteristics, an AC-based Cascading Failure model (ACCF) is utilized to identify the overload branch and conduct load shedding. The EV load redistribution is modeled by the effective resistance between the nearby charging stations. In the case study, we simulate the cascade failure propagation of the IEEE 30-bus power systems coupled with EV charging system. The results show that the failure of critical power system components may cause cascade failure It is significant to guarantee the reliable service of the key charging stations during power system failure.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122437782","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

Research on Optimization Method of Power Grid Recovery Path Based on Reinforcement Learning 基于强化学习的电网恢复路径优化方法研究

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030722

Liu Yang, Gao Jianliang, Xia Deming, Chen Qiuping, Zhang Hongli, Liu Fusuo

引用次数: 0

Wire recognition method based on image recognition 基于图像识别的线材识别方法

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030592

Huang Wei, Zhang Guowei, Lu Qiuhong

引用次数: 0

Bilayer Collaborative Optimization Method of “Source-network-load-storage” Based on Multi Agent Algorithm 基于多智能体算法的“源-网-存”双层协同优化方法

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030158

Junhua Wu, Jian Chen, Jiayong Zhong, Yigang Zhao, Peng Gao

{"title":"Bilayer Collaborative Optimization Method of “Source-network-load-storage” Based on Multi Agent Algorithm","authors":"Junhua Wu, Jian Chen, Jiayong Zhong, Yigang Zhao, Peng Gao","doi":"10.1109/CEECT55960.2022.10030158","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030158","url":null,"abstract":"Aiming at the problem that most optimization methods can't give consideration to the economy and environmental protection of the “source-network-load-storage” (SNLS) system, a bilayer collaborative optimization method of SNLS based on multi-agent algorithm is proposed. Firstly, a multi-agent system model of SNLS is constructed based on the distributed characteristics of multi-agent algorithm and system photovoltaic power generation cluster. Then, the system objective function and constraint conditions are set, that is, the optimization objective is to minimize the system operation cost and the amount of light discarded. Finally, based on the double-layer nested optimization structure, the objective is solved, and the improved grey wolf optimization algorithm is used to solve the single objective, so as to obtain the best optimization scheme of the system. The experimental results based on the IEEE33 node system platform show that the system operation cost and light rejection of the proposed method are about 383600 yuan and 0.895MW, respectively, and the energy use effect in the network is ideal.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128792634","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 PV Operation and Maintenance Scheduling Method Based on Improved PSO-PRGA Algorithm 基于改进PSO-PRGA算法的分布式光伏运维调度方法

2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2022-12-01 DOI: 10.1109/CEECT55960.2022.10030204

H. Yin, D. Yin, Fei Mei, Jianyong Zheng

{"title":"Distributed PV Operation and Maintenance Scheduling Method Based on Improved PSO-PRGA Algorithm","authors":"H. Yin, D. Yin, Fei Mei, Jianyong Zheng","doi":"10.1109/CEECT55960.2022.10030204","DOIUrl":"https://doi.org/10.1109/CEECT55960.2022.10030204","url":null,"abstract":"Aiming at low efficiency and high cost of scheduling schemes in distributed photovoltaic operation and maintenance, a distributed photovoltaic(PV) operation and maintenance scheduling based on improved particle swarm optimization-progress rate genetic algorithm (PSO-PRGA) is proposed. Firstly, establish a distributed PV scheduling model according to the cost which are selected to construct the objective function. Then, proposed an improved PSO-PRGA algorithm to solve the operation and maintenance scheduling optimization model. Finally, according to the operation and maintenance data of distributed photovoltaic power stations in Suqian City, Jiangsu Province, a distributed PV scenario is constructed for calculation example analysis, and it is verified that the scheduling model proposed in this paper conforms to the characteristics of distributed photovoltaic operation and maintenance, and the proposed algorithm can improve the distribution of photovoltaic power. It is feasible and efficient in practical applications to improve the efficiency of photovoltaic scheduling and reduce costs.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127311391","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