A study of economic dispatch with emission constraint in smart grid including wind turbines and electric vehicles

Qinglei Guo, Jong-Hoon Han, M. Yoon, G. Jang
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引用次数: 8

Abstract

The economic dispatch (ED) problem in the term of operation and management in power system is an essential issue, especially in smart grid. With the increasing requirement of environment protection, renewable energy mainly wind power and solar energy is widely researched and applied into real life to save fuel cost and reduce emission from the electricity industry. This paper presents an optimization of fuel cost and emission for a smart grid which includes wind turbines (WTs) and electric vehicles (EVs). In this problem, we determine which generator should be started and running to satisfy the continually changing load demand at each period and meanwhile to minimize the total operating cost and carbon dioxide emissions of generators. Applying traditional polynomial function in a smart grid, the numerical results show the performance of WTs and EVs. WTs have contribution to reduce emissions from the electricity industry; and EVs can reduce fuel cost for electric utility and make profit for customers by taking advantage of ladder price.
考虑排放约束的风电和电动汽车智能电网经济调度研究
经济调度问题是电力系统运行管理中的一个重要问题,在智能电网中尤为重要。随着人们对环境保护的要求越来越高,以风能和太阳能为主的可再生能源被广泛研究并应用于实际生活中,以节省燃料成本和减少电力行业的排放。本文提出了一种包含风力发电机组和电动汽车的智能电网燃料成本和排放的优化方法。在这个问题中,我们确定哪台发电机应该启动和运行,以满足每个时段不断变化的负荷需求,同时使发电机的总运行成本和二氧化碳排放量最小。将传统的多项式函数应用到智能电网中,数值结果显示了小排量汽车和电动汽车的性能。WTs有助于减少电力行业的排放;电动汽车可以降低电力公司的燃料成本,并利用阶梯价格为客户创造利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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