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Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets

Xiaobao Yu*, Kang Yang

College of Economics and Management, Shanghai University of Electric Power, Shanghai, 200090, China

* Corresponding Author: Xiaobao Yu. Email: email

(This article belongs to this Special Issue: Advances in Modern Electric Power and Energy Systems)

Energy Engineering 2023, 120(12), 2741-2760. https://doi.org/10.32604/ee.2023.028041

Abstract

Taking an industrial park as an example, this study aims to analyze the characteristics of a distribution network that incorporates distributed energy resources (DERs). The study begins by summarizing the key features of a distribution network with DERs based on recent power usage data. To predict and analyze the load growth of the industrial park, an improved back-propagation algorithm is employed. Furthermore, the study classifies users within the industrial park according to their specific power consumption and supply requirements. This user segmentation allows for the introduction of three constraints: node voltage, wire current, and capacity of DERs. By incorporating these constraints, the study constructs an optimization model for the distribution network in the industrial park, with the objective of minimizing the total operation and maintenance cost. The primary goal of these optimizations is to address the needs of DERs connected to the distribution network, while simultaneously mitigating their potential adverse impact on the network. Additionally, the study aims to enhance the overall energy efficiency of the industrial park through more efficient utilization of resources.

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Cite This Article

Yu, X., Yang, K. (2023). Distribution Network Optimization Model of Industrial Park with Distributed Energy Resources under the Carbon Neutral Targets. Energy Engineering, 120(12), 2741–2760.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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