期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 81, 期 1, 页码 209-218出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2010.08.009
关键词
Multi-objective particle swarm optimization; Economic dispatch; Cogeneration; Wind power estimation; Environmental dispatch
In this paper an extended stochastic multi-objective model for economic dispatch (ED) is proposed, that incorporates in the optimization process heat and power from CHP units and expected wind power. Stochastic restrictions for the CO2, SO2 and NO emissions are used as inequality constraints. The ED problem is solved using a multi-objective particle swarm optimization technique. The available wind power is estimated from a transformation of the wind speed considered as a random variable to wind power. Simulations are performed on the modified IEEE 30 bus network with 2 cogeneration units and actual wind data. Results concerning minimum cost and emissions reduction options are finally drawn. (c) 2010 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据