Electric Power Systems Research, ( ISI ), Volume (119), No (1), Year (2015-1) , Pages (157-167)

Title : ( Toward mitigating wind-uncertainty costs in power system operation: A demand response exchange market framework )

Authors: Javad Saebi , Mohammad Hossein Javidi Dasht Bayaz , Majid Oloomi Buygi ,

Citation: BibTeX | EndNote

Abstract

The intermittent nature of the wind generation poses an obstacle to high penetration of wind energy in electric power systems. Demand response (DR) increases the flexibility of the power system by allowing very fast upward/downward changes in the demand. This potential can be interpreted as the ability to provide fast upward/downward reserves, facilitating the utilization of the wind power in the power system. Demand response exchange (DRX) market is a separate market in which DR is treated as a virtual resource to be exchanged between DR buyers and sellers. The major advantage of the DRX market in comparison to other DR proposals is that it allocates benefits and payments across all participants, fairly. However, there are still obstacles to its integration into the existing power markets. This paper proposes a short-term framework for DRX market that considers the interactions between the DRX market and energy/reserve markets. The proposed framework is aimed at reducing the operational costs incurred by the uncertainty of the wind power and providing a fair mechanism for valuation of the DR as a virtual resource. A stochastic programming model is used to clear the DRX market considering the wind power production scenarios. To illustrate the efficiency of the proposed DRX market framework, it is implemented on a simple and a realistic case study.

Keywords

Demand response exchange; stochastic programming; reserves; power system operation; wind power; DR.
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@article{paperid:1043510,
author = {Saebi, Javad and Javidi Dasht Bayaz, Mohammad Hossein and Oloomi Buygi, Majid},
title = {Toward mitigating wind-uncertainty costs in power system operation: A demand response exchange market framework},
journal = {Electric Power Systems Research},
year = {2015},
volume = {119},
number = {1},
month = {January},
issn = {0378-7796},
pages = {157--167},
numpages = {10},
keywords = {Demand response exchange; stochastic programming; reserves; power system operation; wind power; DR.},
}

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%0 Journal Article
%T Toward mitigating wind-uncertainty costs in power system operation: A demand response exchange market framework
%A Saebi, Javad
%A Javidi Dasht Bayaz, Mohammad Hossein
%A Oloomi Buygi, Majid
%J Electric Power Systems Research
%@ 0378-7796
%D 2015

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