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Appl. Sci. 2017, 7(11), 1154; doi:10.3390/app7111154

Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response

1
State Key Laboratory of New Energy Power System, North China Electric Power University, Beijing 102206, China
2
Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA
*
Author to whom correspondence should be addressed.
Received: 3 October 2017 / Revised: 25 October 2017 / Accepted: 6 November 2017 / Published: 10 November 2017
(This article belongs to the Section Computer Science and Electrical Engineering)
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Abstract

As a result of extensive penetration of wind farms into electricity grids, power systems face enormous challenges in daily operation because of the intermittent characteristics of wind energy. In particular, the load peak-valley gap has been dramatically widened in wind energy-integrated power systems. How to quickly and efficiently meet the peak-load demand has become an issue to practitioners. Previous literature has illustrated that the demand response (DR) is an important mechanism to direct customer usage behaviors and reduce the peak load at critical times. This paper introduces air-conditioning loads (ACLs) as a load shedding measure in the DR project. On the basis of the equivalent thermal parameter model for ACLs and the state-queue control method, a compensation cost calculation method for the ACL to shift peak load is proposed. As a result of the fluctuation and uncertainty of wind energy, a two-stage stochastic unit commitment (UC) model is developed to analyze the ACL users’ response in the wind-integrated power system. A simulation study on residential and commercial ACLs has been performed on a 10-generator test system. The results illustrate the feasibility of the proposed stochastic programming strategy and that the system peak load can be effectively reduced through the participation of ACL users in DR projects. View Full-Text
Keywords: stochastic unit commitment; demand response; air-conditioning load; peak-shaving stochastic unit commitment; demand response; air-conditioning load; peak-shaving
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MDPI and ACS Style

Han, X.; Zhou, M.; Li, G.; Lee, K.Y. Stochastic Unit Commitment of Wind-Integrated Power System Considering Air-Conditioning Loads for Demand Response. Appl. Sci. 2017, 7, 1154.

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