Volume 10, Issue 4 (December 2014)                   IJEEE 2014, 10(4): 293-303 | Back to browse issues page

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Jadid S, Bahreyni S A H. A Stochastic Operational Planning Model for Smart Power Systems. IJEEE 2014; 10 (4) :293-303
URL: http://ijeee.iust.ac.ir/article-1-643-en.html
Abstract:   (6416 Views)
Smart Grids are result of utilizing novel technologies such as distributed energy resources, and communication technologies in power system to compensate some of its defects. Various power resources provide some benefits for operation domain however, power system operator should use a powerful methodology to manage them. Renewable resources and load add uncertainty to the problem. So, independent system operator should use a stochastic method to manage them. A Stochastic unit commitment is presented in this paper to schedule various power resources such as distributed generation units, conventional thermal generation units, wind and PV farms, and demand response resources. Demand response resources, interruptible loads, distributed generation units, and conventional thermal generation units are used to provide required reserve for compensating stochastic nature of various resources and loads. In the presented model, resources connected to distribution network can participate in wholesale market through aggregators. Moreover, a novel three-program model which can be used by aggregators is presented in this article. Loads and distributed generation can contract with aggregators by these programs. A three-bus test system and the IEEE RTS are used to illustrate usefulness of the presented model. The results show that ISO can manage the system effectively by using this model
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Type of Study: Research Paper | Subject: Market Deregulation
Received: 2013/11/02 | Revised: 2015/01/17 | Accepted: 2014/12/24

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.