Open Access

ARTICLE

Bilevel Optimal Scheduling of Island Integrated Energy System Considering Multifactor Pricing

by Xin Zhang^*, Mingming Yao, Daiwen He, Jihong Zhang, Peihong Yang, Xiaoming Zhang

School of Automation and Electrical Engineering, Inner Mongolia University of Science and Technology, Baotou, 014010, China

* Corresponding Author: Xin Zhang. Email:

Energy Engineering 2025, 122(1), 349-378. https://doi.org/10.32604/ee.2024.057676

Received 24 August 2024; Accepted 16 October 2024; Issue published 27 December 2024

Abstract

In this paper, a bilevel optimization model of an integrated energy operator (IEO)–load aggregator (LA) is constructed to address the coordinate optimization challenge of multiple stakeholder island integrated energy system (IIES). The upper level represents the integrated energy operator, and the lower level is the electricity-heat-gas load aggregator. Owing to the benefit conflict between the upper and lower levels of the IIES, a dynamic pricing mechanism for coordinating the interests of the upper and lower levels is proposed, combined with factors such as the carbon emissions of the IIES, as well as the lower load interruption power. The price of selling energy can be dynamically adjusted to the lower LA in the mechanism, according to the information on carbon emissions and load interruption power. Mutual benefits and win-win situations are achieved between the upper and lower multistakeholders. Finally, CPLEX is used to iteratively solve the bilevel optimization model. The optimal solution is selected according to the joint optimal discrimination mechanism. The simulation results indicate that the source-load coordinate operation can reduce the upper and lower operation costs. Using the proposed pricing mechanism, the carbon emissions and load interruption power of IEO-LA are reduced by 9.78% and 70.19%, respectively, and the capture power of the carbon capture equipment is improved by 36.24%. The validity of the proposed model and method is verified.

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Graphic Abstract

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Keywords

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