2022 IEEE International Conference on Energy Internet (ICEI)最新文献_第3页

Research on Joint Bidding in Multi-Market Strategy of Energy Storage Subject 储能主体多市场策略联合投标研究

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00016

M. Lv, Lei Gan, Mingxuan Zhang

{"title":"Research on Joint Bidding in Multi-Market Strategy of Energy Storage Subject","authors":"M. Lv, Lei Gan, Mingxuan Zhang","doi":"10.1109/ICEI57064.2022.00016","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00016","url":null,"abstract":"To solve the problems of energy crisis and environmental pollution, the construction of a new power system with high penetration of renewable energy has become a main target in power industry to achieve carbon neutrality. With the operation challenge of power system brought by the explosion of renewable energy generation, onsite battery storage systems.with their high energy density, ability to dynamically absorb, rapid response, and high control accuracy, has become one of the best solutions, which is advocated by Chinese government. However, current onsite storage resources are mostly used to strengthen the operational technique indicators of wind farms or PV stations or realize energy arbitrage with time-horizon price difference. This may undervalue the revenue of storage, because they can also provide regulation capacity to power system, benefiting from take part in ancillary markets. Thus, multiple markets, including energy, frequency control, and reserve market, were analyzed first to estimate the revenue and cost for onsite energy storage subject able to attend. On this base, a mixed integer linear bidding optimization model of onsite energy storage was established to participate multi-market, and solved via a commercial solver. Numerical result shows the feasibility of the proposed method and joint multi-market bidding can effectively increase the profitability of onsite energy storage system.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"94 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":"122772372","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

Metaverse Applications in Energy Internet 能源互联网中的元数据应用

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00007

Chuanglu Sun, Junwei Cao, R. Huo, Lei Du, Xiangfeng Cheng

引用次数: 1

Portfolio Strategy of Power Producer Considering Energy Storage in Spot Market, Ancillary Market and Option Market 考虑现货市场、辅助市场和期权市场储能的发电企业投资组合策略

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00008

Chang Liu, Xingying Chen, H. Hua, Kun Yu, Yu Jiang, Mingjia Yin

{"title":"Portfolio Strategy of Power Producer Considering Energy Storage in Spot Market, Ancillary Market and Option Market","authors":"Chang Liu, Xingying Chen, H. Hua, Kun Yu, Yu Jiang, Mingjia Yin","doi":"10.1109/ICEI57064.2022.00008","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00008","url":null,"abstract":"The volatility of electricity price brings huge risks and challenge to the electricity market. Financial derivatives that can be used for risk management and to solve the risks faced by power producers when participating in electricity market transactions. The purpose of this paper is to propose a portfolio strategy of the power producer to earn profits and hedge risks in three electricity markets, namely, the spot market, the ancillary market and the option market. In view of the role of energy storage in storing electricity, the energy storage is considered in this paper to enable power producer to purchase energy storage at a lower price, and then sell electricity at a higher price in the future to earn profits. First of all, this paper establishes the profit models of three markets, respectively. Then, based on the mean-variance portfolio theory, a portfolio strategy for power producer to participate in the three markets are formed. Finally, the numerical simulation is based on the data of the Australian electricity market in 2022. It has been found that the profit obtained by power producer participating in three markets (the spot market, the ancillary market and the option market) using the proposed model is 24.4% higher, while the risk is 36.4% lower comparing with the case that power producer only participates in one market.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"15 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":"121933888","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

Reliability Optimization Planning Method of New Energy Grid Considering the Growth Characteristics of Hydrogen Load 考虑氢负荷增长特性的新能源电网可靠性优化规划方法

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00018

Ji Xing, Zhao Lin, Hou Yixin, Jiang Haiwei, Huo Jingwei, Bai Jianshi, Wang Yingxu

{"title":"Reliability Optimization Planning Method of New Energy Grid Considering the Growth Characteristics of Hydrogen Load","authors":"Ji Xing, Zhao Lin, Hou Yixin, Jiang Haiwei, Huo Jingwei, Bai Jianshi, Wang Yingxu","doi":"10.1109/ICEI57064.2022.00018","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00018","url":null,"abstract":"Different energy networks in NEG can be coupled through efficient conversion devices. Users will use the lowest energy supply cost to meet the energy demand. Therefore, the difficulty of load forecasting increases, which brings new challenges to system planning. Aiming at the problem that the reliability of energy supply is reduced due to the difficulty in identifying the growth characteristics of electro-hydrogen load in new new energy grid (NEG), a reliability optimization planning method for NEG considering the growth characteristics of electro-hydrogen load is proposed in this paper. Firstly, a NEG planning framework including electricity, heat, natural gas and hydrogen energy is established. Secondly, the electro-hydrogen load model including transferable load, interruptible load and hydrogen equivalent electric load is studied. The electro-hydrogen load forecasting model based on SVR-GM is established. This model can accurately quantify the electro-hydrogen load growth characteristics. Then, aiming at construction cost and energy supply reliability, the reliability optimization planning model of NEG is established. Further model solving method based on multi-objective differential evolution algorithm is proposed. Finally, the simulation is carried out according to the actual operation data of NEG in a city of Northeast China. The results show that the proposed method can reduce the total investment cost of the NEG while ensuring the reliability of energy supply.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"190 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":"121088340","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 Collaborative Interaction Strategy for Massive Distributed Renewable Energy in Clusters 集群中大规模分布式可再生能源协同交互策略研究

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00021

Fengchao Chen, J. Su, Lide Zhou, Junwei Zhao, Rui Zhang, Hua Zheng, Pei Peng

引用次数: 0

Echo State Network based Noise Detection in Energy Internet Orienting Justice Blockchain Data 面向司法区块链数据的基于回声状态网络的能源互联网噪声检测

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00011

Shi Hongming, Guo Jia, Ming Yangyang, Cao Junwei

{"title":"Echo State Network based Noise Detection in Energy Internet Orienting Justice Blockchain Data","authors":"Shi Hongming, Guo Jia, Ming Yangyang, Cao Junwei","doi":"10.1109/ICEI57064.2022.00011","DOIUrl":"https://doi.org/10.1109/ICEI57064.2022.00011","url":null,"abstract":"Energy Internet (EI) is a hot research topic which smartly combines the energy system and information and communication technologies to promote the efficiency and reduce the cost of energy generation, transmitting and utilizing, its related data need to be stored in justice blockchain for possible lawsuit. To ensure the integrate of EI data stored in justice blockchain, noise detection is a necessary function which can detect the amplitude of noise and further discover the cyber attacking. To solve this problem, many noise detecting algorithms are available, and the authors have firstly used three layers artificial neural network (ANN) to estimate the noise level quickly and efficiently. In this paper, based on previous research, the authors manage to use Echo State Network (ESN) to solve this problem, and get better simulation results in most scenes. As the simulation results show, the noise interference or cyber attacking behavior can be detected with probability 99% within 4 continuous samples. Applying this algorithm in justice blockchain will make the system more robust and secure, and its data handling cost can be largely reduced.","PeriodicalId":174749,"journal":{"name":"2022 IEEE International Conference on Energy Internet (ICEI)","volume":"49 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":"122123365","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

Economic analysis of shared energy storage in multi micro-energy network 多微能网络共享储能的经济性分析

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00033

P. Ji, X. Zou, Yanxue Li, Jianghui Tang, Jing Zhu, Chenglei Sun, Yun Tian

引用次数: 1

Research on Building Cluster Identification Based on Two-stage Clustering and BP Neural Network 基于两阶段聚类和BP神经网络的建筑聚类识别研究

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00028

Yukun Gao, Haoming Liu, Chengao Li

引用次数: 0

Carbon Emission Analysis of Source, Network and Load in Power System 电力系统源、网、负荷碳排放分析

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00025

Yaoxian Yu, Z. Dou, Chunyan Zhang, Kaicheng Liu, Hongyin Chen, Pei Sun

引用次数: 0

Fast Charging Strategy Based on the Control-oriented Stress Model 基于控制导向应力模型的快速充电策略

2022 IEEE International Conference on Energy Internet (ICEI) Pub Date : 2022-12-01 DOI: 10.1109/ICEI57064.2022.00019

Yue Zhao, Ke Xu, Hao Zhong, Qin Xie, Chang-sen Zhao, Zhongbao Wei

引用次数: 0