Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives

被引:10
|
作者
Godha, Nisha R. [1 ,2 ]
Bapat, Vishram N. [3 ]
Korachagaon, Iranna [4 ]
机构
[1] VTU, Elect Engn Dept, Belagavi, India
[2] NBN Sinhgad Sch Engn, Pune, Maharashtra, India
[3] Inst Engineers, Kolkata, India
[4] Tontadarya Coll Engn, Elect Engn Dept, Gadag, India
关键词
Ant colony optimization; Optimal placement of DG; Techno-economic objective function; Power loss reduction; Voltage profile improvement; Operating cost minimization; IEEE 33-bus system; 85-bus Indian utility system; Load models; RADIAL-DISTRIBUTION SYSTEM; OPTIMAL CAPACITOR PLACEMENT; DISTRIBUTION NETWORKS; VOLTAGE STABILITY; LOSS REDUCTION; GENERATION; RECONFIGURATION; ALLOCATION; DISPATCH; HYBRID;
D O I
10.1007/s12530-021-09416-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Penetration of Distributed Generation (DG) is growing due to increase in the load demands. This paper addresses ant colony optimization (ACO) technique for optimum integration of DG in a distribution system for minimizing techno-economic objective function (TEOF). TEOF is composed of a power loss index, voltage deviation index and operating cost index. The various costs such as purchasing active power from the grid, DG installation, DG operation and maintenance are evaluated at normal and heavy load scenarios. The proposed methodology is examined on IEEE 33-bus (Sahoo and Prasad, Energy Convers Manag 47:3288-3306) and 85-bus Indian utility radial networks (Shuaib et al., Int J Electr Power Energy Syst 64:384-397, 2015) to carry out technical and economic analysis for solar and wind based DG. The obtained results are compared with the research outcomes of other researchers. Our results confirm that appropriate allocation of DG gives remarkable reduction in power losses of around 50-90%, improvement of minimum voltage magnitude of around 6-13% and net saving of 14-39% with two DG placement.
引用
收藏
页码:485 / 498
页数:14
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