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Multi-objective stochastic planning for offshore micro integrated energy systems

Zhang, A., Zhang, H., Wu, J., Qadrdan, M. and Li, Q. 2019. Multi-objective stochastic planning for offshore micro integrated energy systems. Automation of Electric Power Systems 43 (7) , pp. 129-135. 10.7500/AEPS20180417002

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Abstract

The offshore micro integrated energy system is closely related to the production process of marine engineering and operates independently. It is difficult to save the cost and minimize CO2 emissions of the system while considering the effect of production process or the uncertainty of external environment. From the perspective of optimization planning for integrated energy system, this paper establishes an electricity-heat-CO2 coupling model of the offshore micro integrated energy system based on the concept of energy hub. Considering the effect of production process and external environment uncertainty, this paper develops a multi-objective stochastic planning model with the target of minimizing the total cost and CO2 emission, which is constrained by electricity and heat network balance. Then a multi-objective evolutionary algorithm is used to solve the model. As a result, the multi-objective optimization planning which combines cost and environmental protection is realized. Through the optimal planning for micro integrated energy systems of a group of offshore oil and gas platforms and an all-electric vessel, the effectiveness and feasibility of the proposed method are verified.

Item Type: Article
Status: Published
Schools: Engineering
ISSN: 1000-1026
Date of Acceptance: 3 May 2019
Last Modified: 20 Jun 2019 11:00
URI: http://orca.cf.ac.uk/id/eprint/123579

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