A two-stage optimization and control for CCHP microgrid energy management

被引:112
作者
Luo, Zhao [1 ]
Wu, Zhi [1 ]
Li, Zhenyuan [2 ]
Cai, HongYi [2 ]
Li, BaoJu [2 ]
Gu, Wei [1 ]
机构
[1] Southeast Univ, Sch Elect Engn, Nanjing, Jiangsu, Peoples R China
[2] State Grid Jilin Elect Power Supply Co, Changchun, Jilin, Peoples R China
基金
美国国家科学基金会;
关键词
CCHP; Microgrid; Two-stage coordinated control; Model predictive control; Energy management; OPTIMAL OPERATION; POWER-SYSTEMS; COMBINED HEAT; CHP; STRATEGY; MODEL; GENERATION; DESIGN;
D O I
10.1016/j.applthermaleng.2017.05.188
中图分类号
O414.1 [热力学];
学科分类号
摘要
Combined cooling, heating and power (CCHP) microgrid has the advantage of high energy utilization efficiency. The fluctuation of renewable energy sources and multiple load demands challenges the economic operation of CCHP microgrid. In this paper, we propose a novel two-stage coordinated control approach for CCHP microgrid energy management, which consists of two stages: the economic dispatching stage (EDS) and the real-time adjusting stage (RTAS). In EDS, it utilizes a model predictive control incorporating piecewise linear efficiency curves to schedule the operation based on the forecast information. In RTAS, the schedule obtained in EDS is adjusted based on the real-time information to tackle the power fluctuations. A typical-structure CCHP microgrid is analyzed in the case study and simulation results are presented to demonstrate the performance of the proposed two-stage coordinated control approach. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:513 / 522
页数:10
相关论文
共 39 条
[1]  
[Anonymous], 2012, 2012 IEEE POWER ENER
[2]  
[Anonymous], 2011, 2011 IEEE POW EN SOC, DOI DOI 10.1109/PES.2011.603892124-29
[3]   A mixed integer programming model for optimal design of trigeneration in a hospital complex [J].
Arcuri, P. ;
Florio, G. ;
Fragiacomo, P. .
ENERGY, 2007, 32 (08) :1430-1447
[4]   A detailed MILP optimization model for combined cooling, heat and power system operation planning [J].
Bischi, Aldo ;
Taccari, Leonardo ;
Martelli, Emanuele ;
Amaldi, Edoardo ;
Manzolini, Giampaolo ;
Silva, Paolo ;
Campanari, Stefano ;
Macchi, Ennio .
ENERGY, 2014, 74 :12-26
[5]   Evaluation of CCHP systems performance based on operational cost, primary energy consumption, and carbon dioxide emission by utilizing an optimal operation scheme [J].
Cho, Heejin ;
Mago, Pedro J. ;
Luck, Rogelio ;
Chamra, Louay M. .
APPLIED ENERGY, 2009, 86 (12) :2540-2549
[6]   A Novel Optimal Operational Strategy for the CCHP System Based on Two Operating Modes [J].
Fang, Fang ;
Wang, Qing H. ;
Shi, Yang .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2012, 27 (02) :1032-1041
[7]   Models and Techniques for Electric Load Forecasting in the Presence of Demand Response [J].
Garulli, Andrea ;
Paoletti, Simone ;
Vicino, Antonio .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (03) :1087-1097
[8]   Performance evaluation of a tri-generation system with simulation and experiment [J].
Ge, Y. T. ;
Tassou, S. A. ;
Chaer, I. ;
Suguartha, N. .
APPLIED ENERGY, 2009, 86 (11) :2317-2326
[9]  
Gu W, 2010, 2010 IEEE PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION: SMART SOLUTIONS FOR A CHANGING WORLD
[10]   Optimal configuration and analysis of combined cooling, heating, and power microgrid with thermal storage tank under uncertainty [J].
Gu, Wei ;
Tang, Yiyuan ;
Peng, Shuyong ;
Wang, Delin ;
Sheng, Wanxing ;
Liu, Keyan .
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2015, 7 (01)