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

Abstract

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.

Multiobjective Bilevel Programming: Concepts and Perspectives of Development

“…Other approaches have been developed to deal with specific applications using bilevel models with multiple objectives at the upper level and a single objective at the lower level, e.g. the works of (Roghanian, Sadjadi and Aryanezhad, 2007) for supply chain planning and (Zhou et al, 2016) for a low-carbon power dispatch problem.…”

“…A diversified set of applications in the energy sector has been reported in the literature, including tariff setting, electricity markets, and distributed generation. Zhou et al (Zhou et al, 2016) proposed a model for a power dispatch problem in which the upper level decision maker is the regional power grid corporation, which allocates power quotas, and the lower level decision makers are power generation groups. The leader aims to maximize profit, minimize surplus power by balancing supply and demand and minimize total carbon emissions.…”

A population‐based approach to the bi‐level multifollower problem: an application to the electricity retail market

“…This approach considers multiple followers with multiobjective problems at the lower level and also multiple objective functions at the upper level. Zhou et al (2016) developed a BLMF model with uncertain multiple objectives at the upper level to support decision making in low-carbon power dispatch and generation. The leader is the regional power grid corporation, while the followers are the power generation groups.…”

Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis

“…In particular, the energy crisis and carbon emissions have become two critical and universal concerns which have generated additional loads in the cycles within the natural ecosystem and restricted the sustainable development of the whole world [1][2][3]. The manufacturing industry generates great financial fortunes, but also produces massive amounts of carbon emissions and waste resources.…”