Strength Pareto Evolutionary Algorithm for the Dynamic Economic Emission Dispatch Problem incorporating Wind Farms and Energy Storage Systems

被引：0
|
作者：
Alqunun, Khalid [1 ]
机构：
[1] Univ Hail, Coll Engn, Hail, Saudi Arabia
来源：
ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2020年 / 10卷 / 03期
关键词：
dynamic dispatch; wind energy; energy storage systems; evolutionary algorithm;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Intermittent and stochastic characteristics of wind energy sources cause many challenges for the existing power networks. One of these challenges is the violation of the energy balance constraint due to the high penetration of wind power. The use of Energy Storage Systems (ESSs) can facilitate the high penetration of wind power and mitigate the effect of its intermittency. Within this context, ESS incorporate the Dynamic Economic Emission Dispatch (DEED) problem. The problem is formulated as a multi-objective problem and the Strength Pareto Evolutionary Algorithm (SPEA) is used for its resolution. Simulations were carried out on a well- known ten-unit system and the results show the importance of using ESSs in reducing the total production cost of electricity and total emissions.
引用
收藏
页码：5668 / 5673
页数：6
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