Forward Clearing of Energy Market for Wind Incorporated Power System

被引：0

作者：

Sharma, Akanksha ^{[1
]}

Jain, Sanjay K. ^{[1
]}

机构：

[1] Thapar Inst Engn & Technol, Patiala, Punjab, India

来源：

2019 8TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY, INFORMATION AND COMMUNICATION (ICCPEIC'19) | 2019年

关键词：

gravitational search algorithm; market clearing; weibull probability distribution function; wind energy; DISPATCH;

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：

In this paper the forward market clearing of wind integrated power system considering the randomness in wind power generation is presented. The intermittent nature of wind power is characterized by Weibull probability density function (PDF). The aim is to minimize the cost of energy supplied by thermal and wind generators. The cost of energy also incorporates overestimation and underestimation cost of available wind power. Gravitational search algorithm (GSA) based scheduling is utilized for the market clearing purpose. The results have been obtained on IEEE 30-bus and IEEE 57-bus test systems to investigate the effectiveness of the presented algorithm for optimal scheduling.

引用

页码：47 / 52

页数：6

共 18 条

[1]

Ackermann T, 2005, WIND POWER IN POWER SYSTEMS, P1, DOI 10.1002/0470012684

[2]

Bhatt A, 2014, INT C REC ADV INN EN, P1

[3] Simulated annealing-based optimal wind-thermal coordination scheduling [J].