Next Article in Journal
Numerical Study of the Respirable Coal Dust Removal Performance of a Vortex Ventilation System at an Excavation Face
Next Article in Special Issue
A Multi-Objective Energy and Environmental Systems Planning Model: Management of Uncertainties and Risks for Shanxi Province, China
Previous Article in Journal
Analysis to Input Current Zero Crossing Distortion of Bridgeless Rectifier Operating under Different Power Factors
Previous Article in Special Issue
Integrated Energy Planning with a High Share of Variable Renewable Energy Sources for a Caribbean Island
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Energies 2018, 11(9), 2448; https://doi.org/10.3390/en11092448

Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty

1
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2
Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL 60616, USA
*
Authors to whom correspondence should be addressed.
Received: 4 September 2018 / Revised: 10 September 2018 / Accepted: 12 September 2018 / Published: 14 September 2018
(This article belongs to the Special Issue Applied Energy System Modeling 2018)
Full-Text   |   PDF [3611 KB, uploaded 17 September 2018]   |  

Abstract

In the context of the Energy Internet, customers are supplied by energy hubs (EH), while the EHs are interconnected through an upper-level transmission system. In this paper, a stochastic scheduling model is proposed for the interconnected EHs considering integrated demand response (DR) and wind variation. The whole integrated energy system (IES) is linearly modeled for the first time. The output-input relationship within the energy hub is denoted as a linearized matrix, while the upper-level power and natural gas transmission systems are analyzed through piecewise linearization method. A novel sequential linearization method is further proposed to balance computational efficiency and approximation accuracy. Integrated demand response is introduced to smooth out demand curve, considering both internal DR achieved by the optimal energy conversion strategy within energy hubs, and external DR achieved by demand adjustment on the customer’s side. Distributed energy storage like natural gas and heat storage are considered to provide buffer for system operation. The proposed stochastic model is solved by scenario-based optimization with a backward scenario reduction strategy. Numerical tests on a three-hub and seventeen-hub interconnected system that validates the effectiveness of the proposed scheduling model and solution methodology. View Full-Text
Keywords: energy hub; integrated demand response; integrated energy system; sequential linearization; wind uncertainty energy hub; integrated demand response; integrated energy system; sequential linearization; wind uncertainty
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).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; He, Y.; Yan, M.; Guo, C.; Ding, Y. Linearized Stochastic Scheduling of Interconnected Energy Hubs Considering Integrated Demand Response and Wind Uncertainty. Energies 2018, 11, 2448.

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