Integration of heat production and thermal comfort models in microgrid operation planning

被引:12
作者
Aluisio, B. [1 ]
Dicorato, M. [1 ]
Forte, G. [1 ]
Litrico, G. [1 ]
Trovato, M. [1 ]
机构
[1] Politecn Bari, Dept Elect & Informat Engn DEI, Via E Orabona 4, I-70125 Bari, Italy
关键词
Microgrids; Multi-energy systems; Energy management; Temperature-based heat demand model; Building thermal comfort; BUILDING ENERGY-CONSUMPTION; OPTIMAL POWER-FLOW; RENEWABLE ENERGY; DEMAND RESPONSE; REGRESSION-MODELS; MANAGEMENT; STORAGE; LOAD; OPTIMIZATION; SYSTEM;
D O I
10.1016/j.segan.2018.05.004
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
In this paper, a procedure aiming to integrate a detailed description of a multi-source thermal production system in a microgrid framework is proposed. The approach involves electric energy production and consumption as well. In particular, a bottom-up engineering viewpoint is adopted, involving energy flows interesting user buildings and mass flow rates and temperatures in the thermal supply facility. Different heating production systems, such as CHPs, boilers and solar thermal devices, are considered, as well as heat exchangers, thermal storage and pipe network. The proposed model is therefore embedded in the day-ahead energy management procedure of the microgrid. The optimal operation plan is evaluated by minimizing operation and emission costs over a daily horizon, satisfying electric demand and thermal comfort requirements. Tests are carried out on a model of the experimental microgrid system built at Electric Power System laboratory of Politecnico di Bari. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:37 / 54
页数:18
相关论文
共 89 条
[1]   A review of optimal power flow studies applied to smart grids and microgrids [J].
Abdi, Hamdi ;
Beigvand, Soheil Derafshi ;
La Scala, Massimo .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 71 :742-766
[2]   A review on applications of ANN and SVM for building electrical energy consumption forecasting [J].
Ahmad, A. S. ;
Hassan, M. Y. ;
Abdullah, M. P. ;
Rahman, H. A. ;
Hussin, F. ;
Abdullah, H. ;
Saidur, R. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 33 :102-109
[3]   A comprehensive experimental approach for the validation of quantitative infrared thermography in the evaluation of building thermal transmittance [J].
Albatici, Rossano ;
Tonelli, Arnaldo M. ;
Chiogna, Michela .
APPLIED ENERGY, 2015, 141 :218-228
[4]   An optimization procedure for Microgrid day-ahead operation in the presence of CHP facilities [J].
Aluisio, B. ;
Dicorato, M. ;
Forte, G. ;
Trovato, M. .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2017, 11 :34-45
[5]   The application of a flow-based methodology for yearly network analysis according to market data [J].
Aluisio, B. ;
Dicorato, M. ;
Forte, G. ;
Trovato, M. ;
Sallati, A. ;
Gadaleta, C. ;
Vergine, C. ;
Ciasca, F. .
2017 14TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM 17), 2017,
[6]  
Aluisio B., 2016, 2016 Power Systems Computation Conference (PSCC), P1, DOI 10.1109/PSCC.2016.7540913
[7]  
[Anonymous], MICROGRIDS ACTIVE DI
[8]  
[Anonymous], 2012, P IEEE POW EN SOC GE
[9]  
[Anonymous], SMART CIT GREEN ICT
[10]  
[Anonymous], 2006, 15251 EN