Wind-CHP Generation Aggregation With Storage Capability of District Heating Network

被引:0
|
作者
Yu, Jing [1 ]
Shen, Xinwei [1 ]
Sheng, Tongtian [2 ]
Sun, Hongbin [2 ]
Xiong, Wen [3 ]
Tang, Lei [4 ]
机构
[1] Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen Environm Sci & New Energy Technol Engn L, Shenzhen, Peoples R China
[2] Tsinghua Univ, Dept Elect Engn, State Key Lab Control & Simulat Power Syst & Gene, Beijing, Peoples R China
[3] Guangzhou Power Grid Co, Guangzhou, Guangdong, Peoples R China
[4] Beijing Qingda Gaoke Syst Control Co, Beijing, Peoples R China
来源
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2) | 2017年
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
district heating network(DHN); wind power integration; combined heat and power(CHP); integrated energy system; ENERGY; POWER; OPTIMIZATION; COGENERATION; SYSTEMS; DESIGN; MARKET; PLANTS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The strong coupling of electricity and heat of combined heat and power (CHP) unit in cold season results in the loss of flexibility, which may cause massive wind power curtailment if they are in the same system. This issue could be handled with the thermal storage capability of a district heating network (DHN) that could supply flexibility for CHP to decouple the strong coupling of heat and electric power supplies. In this paper, a wind-CHP generation aggregation(WCGA) model is formulated, which motivates CHP to increase wind power integration by increasing total profit of the system, while considering the additional flexibility supplied by DHN. In WCGA model, DHN is formulated as an energy-storage-like (ESL) model that considers the storage capability of DHN based on dynamic characteristics of temperature and time delay effect of DHN. The potential benefits of the proposed model have been demonstrated by case study in terms of enhancing, wind power integration as well as total profit.
引用
收藏
页码:613 / 618
页数:6
相关论文
共 50 条
  • [31] Investigation on sector coupling potentials of a 5th generation district heating and cooling network
    Edtmayer, Hermann
    Nageler, Peter
    Heimrath, Richard
    Mach, Thomas
    Hochenauer, Christoph
    ENERGY, 2021, 230
  • [32] Investigation on Individual and Collective PV Self-Consumption for a Fifth Generation District Heating Network
    Vivian, Jacopo
    Chinello, Mattia
    Zarrella, Angelo
    De Carli, Michele
    ENERGIES, 2022, 15 (03)
  • [33] Effectiveness of optimization procedures on the economic profitability of a virtual tri-generation power plant connected to a district heating cooling network
    Grigiante, M.
    Mottes, G.
    Buratti, A.
    ENERGY CONVERSION AND MANAGEMENT, 2022, 274
  • [34] REDUCTION OF PRIMARY ENERGY CONSUMPTION THROUGH DISTRIBUTED THERMAL STORAGE IN BUILDINGS CONNECTED WITH A DISTRICT HEATING NETWORK
    Baccino, Giorgia
    Cosentino, Sara
    Guelpa, Elisa
    Sciacovelli, Adriano
    Verda, Vittorio
    ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2014, VOL 6A, 2015,
  • [35] Holistic modelling and optimisation of thermal load forecasting, heat generation and plant dispatch for a district heating network
    Finkenrath, Matthias
    Faber, Till
    Behrens, Fabian
    Leiprecht, Stefan
    ENERGY, 2022, 250
  • [36] Fifth-Generation District Heating and Cooling Substations: Demand Response with Artificial Neural Network-Based Model Predictive Control
    Buffa, Simone
    Soppelsa, Anton
    Pipiciello, Mauro
    Henze, Gregor
    Fedrizzi, Roberto
    ENERGIES, 2020, 13 (17)
  • [37] Optimization of biomass to bioenergy supply chain with tri-generation and district heating and cooling network systems
    Akgul, Adem
    Seckiner, Serap Ulusam
    COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 137
  • [38] Multi-objective optimisation of a solar district heating network with seasonal storage for conditions in cities of southern Chile
    Maximov, Serguey A.
    Mehmood, Sajid
    Friedrich, Daniel
    SUSTAINABLE CITIES AND SOCIETY, 2021, 73
  • [39] Optimal Operation of Distributed Energy Storage Systems to Improve Distribution Network Load and Generation Hosting Capability
    Jayasekara, Nadeeshani
    Masoum, Mohammad A. S.
    Wolfs, Peter J.
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (01) : 250 - 261
  • [40] Combined Heat and Power Dispatch Considering Heat Storage of Both Buildings and Pipelines in District Heating System for Wind Power Integration
    Li, Ping
    Wang, Haixia
    Lv, Quan
    Li, Weidong
    ENERGIES, 2017, 10 (07)