Next Article in Journal
Experimental Evaluation of the Thermal Performance of Raised Floor Integrated Radiant Heating Panels
Previous Article in Journal
Supply Chain Management for Improved Energy Efficiency: Review and Opportunities
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Energies 2017, 10(10), 1630; doi:10.3390/en10101630

Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China
*
Author to whom correspondence should be addressed.
Received: 30 August 2017 / Revised: 28 September 2017 / Accepted: 10 October 2017 / Published: 17 October 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [4130 KB, uploaded 19 October 2017]   |  

Abstract

This paper aims to tap the potential of air conditioning loads (ACLs) for consuming photovoltaic power (PV) and wind power (WP). By fully considering different thermal comfort of different users, an ACL twice-clustered model based on different ACL parameters and users tolerance values (UTV) is built. Then, a two-stage ACL control method based on both temperature control (TC) and switch control (SC) is proposed, which achieves rapid control of ACLs as well as diminishing users’ discomfort. Widely existent communication time delay in ACL control network causes obvious control error, which leads to ACL consumption deviation from the target. Therefore, on the basis of analyzing errors and impacts of ACLs caused by communication time delay, this paper proposes a time delay compensation method based on a network predictive control system. Applying the ACLs clustered model and the control method into consuming PV and WP, a dual-stage consumption model considering communication time delay is established. Simulations of the PV and WP consumption effects based on ACLs clusters are conducted, and the influence of SC cycle and outdoor temperature on the simulation results are analyzed. The simulation results demonstrate the validity of the model and the methods proposed in this paper, showing a strong adaptability in different circumstances. View Full-Text
Keywords: air conditioning load; loads clustering; two-stage control method; PV and WP consumption; demand response air conditioning load; loads clustering; two-stage control method; PV and WP consumption; demand response
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Yang, D.; Zhang, X.; Zhou, B. Modeling and Control of Air Conditioning Loads for Consuming Distributed Energy Sources. Energies 2017, 10, 1630.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top