DocumentCode
637368
Title
Microgrid economic operation and research on dispatch strategy
Author
Jie Chen ; Xiu Yang ; Lan Zhu ; Meixia Zhang
Author_Institution
Electr. Power & Autom. Eng., Shanghai Univ. of Electr. Power, Shanghai, China
fYear
2012
fDate
18-20 Sept. 2012
Firstpage
1
Lastpage
6
Abstract
Microgrid could allow renewable and clean resources to penetrate into a controllable utility and achieve maximum utilization of existing energy and demand-side management. An optimization model of economic operated CHP microgrid system considering heating income is established. The microsources can provide both active and reactive power in the model. A typical microgrid consisting of wind turbine, photo voltaic, storage battery, micro turbine, fuel cell, thermal and electric loads is selected as the research object. Based on the conventional economic dispatch strategies of microgrid, improved dispatch strategies are proposed and comparative analysis of their impact on the optimization results is conducted. Improved genetic algorithm is chosen for the optimization of this system and comprehensive cost of one day in grid-connected mode considering spot price and islanded mode assuring power supply reliability of sensitive loads, results are comparatively analyzed in detail. So the validity of the proposed model, dispatch strategy and algorithm is proved.
Keywords
cogeneration; distributed power generation; genetic algorithms; power generation dispatch; power generation economics; power generation reliability; CHP microgrid system; dispatch strategy; economic dispatch strategies; electric loads; fuel cell; genetic algorithm; grid-connected mode; heating income; islanded mode; microgrid economic operation; microsources; microturbine; optimization model; photovoltaic; power supply reliability; reactive power; sensitive loads; spot price; storage battery; thermal loads; wind turbine; Cogeneration; Economics; Electricity; Load modeling; Microgrids; Optimization; Resistance heating; CHP; dispatch strategy; economic operation; improved genetic algorithm; microgrid; network structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Automation Conference (PEAM), 2012 IEEE
Conference_Location
Wuhan
Print_ISBN
978-1-4577-1599-0
Type
conf
DOI
10.1109/PEAM.2012.6612416
Filename
6612416
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