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Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network

Dan Wu1, Yanbo Che1, Wei Li2,*, Wei He3, Dongyi Li4
1 Key Laboratory of Smart Grid of Education Ministry, Tianjin University, Tianjin, 300072, China
2 Tianjin University of Technology, Tianjin, 300072, China
3 Electric Power Science Research Institute of State Grid Jiangxi Electric Power Co., Ltd., Nanchang, 330096, China
4 CNOOC Enertech Equipment Technology Co., Ltd., Tianjin, 300452, China
* Corresponding Author: Wei Li. Email:

Energy Engineering 2021, 118(5), 1549-1564. https://doi.org/10.32604/EE.2021.014818

Received 02 November 2020; Accepted 15 March 2021; Issue published 16 July 2021

Abstract

With the significant progress of the “coal to electricity” project, the electric kiln equipment began to be connected to the distribution network on a large scale, which caused power quality problems such as low voltage, high harmonic distortion rate, and high reactive power loss. This paper proposes a two-stage power grid comprehensive resource optimization configuration model. A multi-objective optimization solution based on the joint simulation platform of Matlab and OpenDSS is developed. The solution aims to control harmonics and optimize reactive power. In the first stage, a multi-objective optimization model is established to minimize the active network loss, voltage deviation, and equipment cost under the constraint conditions of voltage margin, power factor, and reactive power compensation capacity. Furthermore, the first stage uses a particle swarm optimization (PSO) algorithm to optimize the location and capacity of both series and parallel compensation devices in the distribution network. In the second stage, the optimal configuration model of the active power filter assumes the cost of the APF as the objective function and takes the harmonic voltage content rate, the total voltage distortion rate, and the allowable harmonic current as the constraint conditions. The proposed solution eliminates the harmonics by uniformly configuring active filters in the distribution network and centrally control harmonics at the system level. Finally, taking the IEEE33 distribution network as the object and considering the change of electric furnace permeability in the range of 20%–50%, the simulation results show that the proposed algorithm effectively reduces the distribution network’s loss, its harmonic content and significantly improve its voltage.

Keywords

Electric furnace; reactive compensation; filter optimization configuration; multi-objective optimization; particle swarm algorithm

Cite This Article

Wu, D., Che, Y., Li, W., He, W., Li, D. (2021). Optimal Allocation of Comprehensive Resources for Large-Scale Access of Electric Kiln to the Distribution Network. Energy Engineering, 118(5), 1549–1564.



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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