Next Article in Journal
Optimization of an Improved Intermodal Transit Model Equipped with Feeder Bus and Railway Systems Using Metaheuristics Approaches
Next Article in Special Issue
The Non-Linear Effect of Chinese Financial Developments on Energy Supply Structures
Previous Article in Journal
Experience with LEDS and NAMA Low Carbon Strategies: The Case of Georgia
Open AccessArticle

Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty

1
Institute of Cross-Process Perception and Control, Shaanxi Normal University, Xi’an 710119, China
2
International Business School, Shaanxi Normal University, Xi’an 710062, China
3
School of Economics and Management, Xidian University, Xi’an 710071, China
4
LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA
5
Department of Management Sciences, City University of Hong Kong, Kowloon, Hong Kong
*
Author to whom correspondence should be addressed.
Academic Editor: Samuel Fankhauser
Sustainability 2016, 8(6), 533; https://doi.org/10.3390/su8060533
Received: 1 April 2016 / Revised: 29 May 2016 / Accepted: 1 June 2016 / Published: 4 June 2016
(This article belongs to the Special Issue Low Carbon Development for Emerging Markets)
This research examines a low-carbon power dispatch problem under uncertainty. A hybrid uncertain multi-objective bi-level model with one leader and multiple followers is established to support the decision making of power dispatch and generation. The upper level decision maker is the regional power grid corporation which allocates power quotas to each follower based on the objectives of reasonable returns, a small power surplus and low carbon emissions. The lower level decision makers are the power generation groups which decide on their respective power generation plans and prices to ensure the highest total revenue under consideration of government subsidies, environmental costs and the carbon trading. Random and fuzzy variables are adopted to describe the uncertain factors and chance constrained and expected value programming are used to handle the hybrid uncertain model. The bi-level models are then transformed into solvable single level models using a satisfaction method. Finally, a detailed case study and comparative analyses are presented to test the proposed models and approaches to validate the effectiveness and illustrate the advantages. View Full-Text
Keywords: low carbon; carbon trading; power dispatching; hybrid uncertain multi-objective bi-level model; chance constrained programming; expected value programming; satisfaction method low carbon; carbon trading; power dispatching; hybrid uncertain multi-objective bi-level model; chance constrained programming; expected value programming; satisfaction method
Show Figures

Figure 1

MDPI and ACS Style

Zhou, X.; Zhao, C.; Chai, J.; Lev, B.; Lai, K.K. Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty. Sustainability 2016, 8, 533. https://doi.org/10.3390/su8060533

AMA Style

Zhou X, Zhao C, Chai J, Lev B, Lai KK. Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty. Sustainability. 2016; 8(6):533. https://doi.org/10.3390/su8060533

Chicago/Turabian Style

Zhou, Xiaoyang; Zhao, Canhui; Chai, Jian; Lev, Benjamin; Lai, Kin K. 2016. "Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty" Sustainability 8, no. 6: 533. https://doi.org/10.3390/su8060533

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

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop