Load variations impact on optimal DG placement problem concerning energy loss reduction

Gkaidatzis Paschalis A.; Bouhouras Aggelos S.; Doukas Dimitrios I.; Sgouras Kallisthenis I.; Labridis Dimitris P.

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Load variations impact on optimal DG placement problem concerning energy loss reduction

机译：负载变化影响与降低能耗有关的最佳DG放置问题

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The Optimal Distributed Generation Placement problem (ODGP) towards energy loss minimization depends basically on the network's layout and its load composition. Under load variations, different load compositions result, for each one of them, is highly possible to come up with a different optimal solution regarding the optimal siting and sizing of DG units. This paper examines the impact of these variations in order to verify how optimal solution should adapt to any load composition. A Local Particle Swarm Optimization Variant algorithm is proposed as the solution algorithm and numerous load composition snapshots for the IEEE-33 bus system are examined. Moreover, a methodology is proposed in order to highlight the critical nodes that prove to have an essential role to the solution. Finally, the possibility for the determination of a fixed solution with fixed installation nodes and constant power output that could yield near optimal energy loss reduction is examined. (C) 2017 Elsevier B.V. All rights reserved.

机译：能量损失最小化的最佳分布式发电布置问题（ODGP）基本上取决于网络的布局及其负载组成。在负载变化的情况下，对于每一个负载，都有可能得出不同的负载组成，从而针对DG单元的最佳选址和尺寸提出不同的最优解决方案。本文研究了这些变化的影响，以验证最佳解决方案应如何适应任何负荷组成。提出了一种局部粒子群优化变体算法作为求解算法，并研究了IEEE-33总线系统的众多负载组成快照。此外，提出了一种方法以突出证明对解决方案具有至关重要作用的关键节点。最后，研究了确定具有固定安装节点和恒定功率输出的固定解决方案的可能性，该固定解决方案可以产生接近最佳的能量损失减少。（C）2017 Elsevier B.V.保留所有权利。

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来源
《Electric power systems research》 |2017年第11期|36-47|共12页
作者
Gkaidatzis Paschalis A.; Bouhouras Aggelos S.; Doukas Dimitrios I.; Sgouras Kallisthenis I.; Labridis Dimitris P.;
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作者单位

Aristotle Univ Thessaloniki, Thessaloniki 54124, Greece;

Aristotle Univ Thessaloniki, Thessaloniki 54124, Greece|Univ Appl Sci, Western Macedonia 50100, Kozani, Greece;

Aristotle Univ Thessaloniki, Thessaloniki 54124, Greece;

Aristotle Univ Thessaloniki, Thessaloniki 54124, Greece;

Aristotle Univ Thessaloniki, Thessaloniki 54124, Greece;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
Critical nodes; Energy loss reduction; Load variations; Optimal DG placement;

机译：关键节点;减少能量损失;负载变化;最佳DG放置;

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1. GA Based Optimal Placement of DGs for Loss Reduction and Reliability Improvement in Distribution Networks with Time Varying Loads [J] . Zahra Boor, Seyyed Mehdi Hosseini International Journal of Intelligent Systems and Applications . 2013,第4期

机译：基于遗传算法的DG最优放置，以降低时变负荷的配电网的损耗并提高可靠性
2. A straightforward approach to minimizing unsupplied energy and power loss through DG placement and evaluating power quality in relation to load variations over time [J] . Hadi Hamedi, Majid Gandomkar International Journal of Electrical Power & Energy Systems . 2012,第1期

机译：一种通过DG放置来最大程度减少未提供的能量和功率损耗并评估与负载随时间变化有关的电能质量的简单方法
3. Optimal multiple installation of DG and capacitor for energy loss reduction and loadability enhancement in the radial distribution network using the hybrid WIPSO-GSA algorithm [J] . Arulraj Rajendran, Kumarappan Narayanan International journal of ambient energy . 2020,第1a7期

机译：利用混合WIPSO-GSA算法，最佳多重安装DG和电容器的能量损失减小和径向分布网络的可加载性增强
4. Optimal placement of DG for loss reduction considering DG models [C] . Mishra Mamun International Conference on Electrical, Computer and Communication Technologies . 2015

机译：考虑DG模型的DG优化放置以减少损失
5. Impact Load Identification Using Optimal Sensor Placement and Model Reduction [D] . Chembakassery, Bella J. 2018

机译：使用最佳传感器放置和模型简化来识别冲击载荷
6. Optimal Siting and Sizing of Multiple DG Units for the Enhancement of Voltage Profile and Loss Minimization in Transmission Systems Using Nature Inspired Algorithms [O] . Ambika Ramamoorthy, Rajeswari Ramachandran 2016

机译：使用自然启发算法优化多个DG单元的选址和选型以增强传输系统中的电压分布并降低损耗
7. IPSO Algorithm for Maximization of System Loadability, Voltage Stability and Loss Minimisation by Optimal DG Placement [O] . Prema Kumar N, Mercy Rosalina K 2015

机译：最佳DG放置最大限度地，最佳DG放置的IPSO算法，最大限度地，电压稳定性和损耗最小化

Load variations impact on optimal DG placement problem concerning energy loss reduction

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