District Microgrid Management Integrated with Renewable Energy Sources, Energy Storage Systems and Electric Vehicles

被引:9
作者
Fanti, M. P. [1 ]
Mangini, A. M. [1 ]
Roccotelli, M. [1 ]
Ukovich, W. [2 ]
机构
[1] Polytech Bari, Dept Elect & Informat Engn, Bari, Italy
[2] Univ Trieste, Dept Engn & Architecture, Trieste, Italy
来源
IFAC PAPERSONLINE | 2017年 / 50卷 / 01期
关键词
Energy management; Energy storage; Renewable energy; Optimization; Stochastic programming; OPTIMIZATION;
D O I
10.1016/j.ifacol.2017.08.2035
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper addresses the problem of the energy management of cooperative district microgrids: the goal is minimizing the additional energy to be purchased and maximizing the utilization of energy bought at the day-ahead energy market. To this purpose the District Energy Management System (DEMS) predicts the energy consumption of the district and minimizes additional real-time energy requests by optimally integrating renewable energy sources, storage systems and district electric vehicles. To solve this problem two approaches are considered. In the first approach, we assume that the energy consumption, the cumulative production of the renewable energies and the energy costs are known. In this case, a linear programming problem is formulated and solved by the DEMS. In order to deal with the parameters uncertainty, we propose a second approach formulated as a stochastic linear programming problem. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:10015 / 10020
页数:6
相关论文
共 16 条
[1]  
[Anonymous], 2006, MULTICRITERIA OPTIMI
[2]   Noncooperative and Cooperative Optimization of Distributed Energy Generation and Storage in the Demand-Side of the Smart Grid [J].
Atzeni, Italo ;
Ordonez, Luis G. ;
Scutari, Gesualdo ;
Palomar, Daniel P. ;
Fonollosa, Javier R. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2013, 61 (10) :2454-2472
[3]   Real-Time Power Balancing Via Decentralized Coordinated Home Energy Scheduling [J].
Chang, Tsung-Hui ;
Alizadeh, Mahnoosh ;
Scaglione, Anna .
IEEE TRANSACTIONS ON SMART GRID, 2013, 4 (03) :1490-1504
[4]  
Nguyen DT, 2013, INT CONF SMART GRID, P678, DOI 10.1109/SmartGridComm.2013.6688037
[5]  
Fanti MP, 2015, IEEE INT CON AUTO SC, P432, DOI 10.1109/CoASE.2015.7294117
[6]   A District Energy Management Based on Thermal Comfort Satisfaction and Real-Time Power Balancing [J].
Fanti, Maria Pia ;
Mangini, Agostino Marcello ;
Roccotelli, Michele ;
Ukovich, Walter .
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2015, 12 (04) :1271-1284
[7]   Adaptive Energy Consumption Scheduling for Connected Microgrids Under Demand Uncertainty [J].
Fathi, Mohammad ;
Bevrani, Hassan .
IEEE TRANSACTIONS ON POWER DELIVERY, 2013, 28 (03) :1576-1583
[8]   Microgrids [J].
Hatziargyriou, Nikos ;
Asano, Hiroshi ;
Iravani, Reza ;
Marnay, Chris .
IEEE POWER & ENERGY MAGAZINE, 2007, 5 (04) :78-94
[9]  
Kall P, 2011, INT SER OPER RES MAN, V156, P1, DOI 10.1007/978-1-4419-7729-8
[10]  
Kwon RH, 2012, HDB NETWORKS POWER S, VI, P41