Role of Consumption Pattern in Optimal Allocation of Distributed Generators in Electric Power and Energy Systems

2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI:10.1109/TPEC56611.2023.10078503

M. Mahdavi, F. Jurado, K. Schmitt, M. Chamana, Stephen B. Bayne

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引用次数: 1

Abstract

The placement of distributed generation (DG) units in power systems is an efficient way for energy loss reduction, especially when the penetration of DG in modern systems is growing due to their impacts on environmental sustainability. On the other hand, load variations and methods of electricity consumption affect energy losses amount. Therefore, power demand variations have an essential role in the determination of energy loss amount and optimal generation of DG. However, considering the variability of load level in the DG allocation problem increases the burden and computational time, and neglecting it causes the energy losses to be calculated inaccurately. Therefore, this paper aims to evaluate the effect of load patterns on renewable DG allocation plans in order to find out the importance of considering load variations in energy loss minimization via DG placement. The analysis has been conducted on 7-, 12-, 16-, 28-, 30-, 33-, 59-, 69-, 70-, 84-, and 119-bus distribution systems by a classic optimization tool named AMPL.

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消费模式在电力能源系统中分布式发电机优化配置中的作用

在电力系统中部署分布式发电机组是减少能量损失的有效途径，特别是当分布式发电对环境可持续性的影响在现代系统中的渗透越来越大时。另一方面，负荷变化和用电方式影响着电能损失量。因此，电力需求变化对于确定电能损失量和DG最优发电具有至关重要的作用。然而，在DG分配问题中考虑负荷水平的可变性会增加负荷和计算时间，忽略这一点会导致能量损失计算不准确。因此，本文旨在评估负荷模式对可再生DG分配计划的影响，以发现考虑负荷变化对于通过DG放置最小化能量损失的重要性。利用经典的优化工具AMPL对7、12、16、28、30、33、59、69、70、84和119总线配电系统进行了分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 IEEE Texas Power and Energy Conference (TPEC)

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