Adaptive Energy Consumption Scheduling for Connected Microgrids Under Demand Uncertainty

被引:87
作者
Fathi, Mohammad [1 ]
Bevrani, Hassan [1 ]
机构
[1] Univ Kurdistan, Dept Elect & Comp Engn, Sanandaj 6617715175, Iran
关键词
Adaptive optimization; energy consumption scheduling; microgrid; power grid; uncertain power demand; LOAD CONTROL; SMART;
D O I
10.1109/TPWRD.2013.2257877
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Energy consumption scheduling to achieve low-power generation cost and a low peak-to-average ratio is a critical component in distributed power networks. Implementing such a component requires the knowledge of the whole power demand throughout the network. However, due to the diversity of power demands, this requirement is not always satisfied in practical scenarios. To address this inconsistency, this paper addresses energy consumption scheduling in a distribution network with connected microgrids consisting of a local area with a determined demand and neighboring areas with an uncertain demand. The total cost and peak-to-average ratio minimizations are formulated as a multiobjective optimization problem. In addition to a deterministic optimal solution, an adaptive scheduling approach is provided with online stochastic iterations to capture the randomness of the uncertain demand over time. Numerical results demonstrate the effectiveness of the proposed adaptive scheduling schemes in the following results obtained from optimal solutions.
引用
收藏
页码:1576 / 1583
页数:8
相关论文
共 31 条
[1]  
Allcott H., 2009, Real Time Pricing and Electricity Markets
[2]  
[Anonymous], SMART GRID INTR 2009
[3]  
[Anonymous], MICROGRIDS ACTIVE DI
[4]  
[Anonymous], STANDARD HDB ELECT E
[5]  
[Anonymous], IEEE POWER ENERGY MA
[6]  
Berteskas D. P., 1999, NONLINEAR PROGRAMMIN, V2nd
[7]  
Bevrani H., 2011, RED EL CONS HOUS EN
[8]  
Bevrani H, 2009, POWER ELECTRON POWER, P1, DOI 10.1007/978-0-387-84878-5_1
[9]  
Boyd S., 2004, CONVEX OPTIMIZATION, VFirst, DOI DOI 10.1017/CBO9780511804441
[10]  
Caron S, 2010, INT CONF SMART GRID, P391, DOI 10.1109/SMARTGRID.2010.5622073