Economic Dispatch in a Microgrid through an Iterated-Based Algorithm

被引:0
作者
Modiri-Delshad, Mostafa [1 ,2 ]
Koohi-Kamali, Sam [1 ,2 ]
Taslimi, Ehsan [1 ]
Kaboli, S. Hr. Aghay [1 ]
Rahim, N. A. [1 ]
机构
[1] UM, UM Power Energy Dedicated Adv Ctr UMPEDAC, Wisma R&D, Kuala Lumpur 59990, Malaysia
[2] Univ Malaya, Fac Engn, Dept Elect Engn, Kuala Lumpur 50603, Malaysia
来源
2013 IEEE CONFERENCE ON CLEAN ENERGY AND TECHNOLOGY (CEAT) | 2013年
关键词
Economic dispatch; Cost function; Optimization; Lossless; Microgrid; Distributed energy resources; OPTIMIZATION;
D O I
暂无
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
This paper presents a new algorithm to solve economic dispatch (ED) as an optimization problem in power systems. A simple iterated-based algorithm has been developed. It starts with a guess and converges to the optimal point in such a way that the total generation cost of a microgrid is minimized. Since microgrid is considered as a lossless small network, the algorithm is supposed to solve the lossless economic dispatch problem. The proposed method applied on a microgrid consisting of three distributed energy resources (DERs) with convex type of cost functions. The problem was also solved by CPLEX solver as a quadratic programming problem (QP) and the obtained results of proposed algorithm were compared with its results. The comparison confirmed the capability of proposed method to solve ED problem since it was easy to implement with acceptable speed and accuracy.
引用
收藏
页码:82 / 87
页数:6
相关论文
共 22 条
[1]   SOLVING INEQUALITY CONSTRAINED COMBINATORIAL OPTIMIZATION PROBLEMS BY THE HOPFIELD NEURAL NETWORKS [J].
ABE, S ;
KAWAKAMI, J ;
HIRASAWA, K .
NEURAL NETWORKS, 1992, 5 (04) :663-670
[2]   Mixed integer programming of generalized hydro-thermal self-scheduling of generating units [J].
Aghaei, J. ;
Ahmadi, A. ;
Shayanfar, H. A. ;
Rabiee, A. .
ELECTRICAL ENGINEERING, 2013, 95 (02) :109-125
[3]   Fuzzy Control Based Five-Step Li-Ion Battery Charger by Using AC Impedance Technique [J].
Asadi, Houshyar ;
Kaboli, S. Hr Aghay ;
Mohammadi, Arash ;
Oladazimi, Maysam .
FOURTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2011): MACHINE VISION, IMAGE PROCESSING, AND PATTERN ANALYSIS, 2012, 8349
[4]   Artificial bee colony optimization for multi-area economic dispatch [J].
Basu, M. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 49 :181-187
[5]   Particle swarm optimization to solving the economic dispatch considering the generator constraints [J].
Gaing, ZL .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1187-1195
[6]   POLYHEDRAL COMBINATORICS AND NEURAL NETWORKS [J].
GEE, AH ;
PRAGER, RW .
NEURAL COMPUTATION, 1994, 6 (01) :161-180
[7]  
Gherbi F. Z., 2011, COMM COMP CONTR APPL
[8]   Economic dispatch with network and ramping constraints via interior point methods [J].
Irisarri, G ;
Kimball, LM ;
Clements, KA ;
Bagchi, A ;
Davis, PW .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1998, 13 (01) :236-242
[9]  
Jizhong Z., 2009, OPTIMIZATION POWER S
[10]  
Kaholi SHA, 2013, 4TH ANNUAL INTERNATIONAL POWER ELECTRONICS, DRIVE SYSTEMS & TECHNOLOGIES CONFERENCE (PEDSTC 2013), P176, DOI 10.1109/PEDSTC.2013.6506698