A multi-objective approach for selection of CHP based DG in radial distribution network

2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI) Pub Date : 2016-10-01 DOI:10.1109/ICICPI.2016.7859693

P. Kayal, Animesh Sadhukhan, Jayanta K. Chandra

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引用次数: 1

Abstract

Distributed generation (DG) technology has become very noteworthy in modern power sector to meet the power demand in a sustainable mode. DG based on combined heat and power (CHP) technology offers concurrent generation of both electricity and heat from the same fuel for useful purposes. An encouraging method for optimal allocation of different types of CHP in distribution network via fuel cost reduction, mitigation of emission and maximization of heat generation is presented in this paper. Voltage stability indicator has been utilized to identify the prospective location of CHP units. Non-dominated sorting genetic algorithm II (NSGA-II) has been exploited to evaluate the trade off solutions to determine size of CHP units. Three types of diesel generator (Dg) and two types of microturbine (Mt) are incorporated in the analysis to highlight the effectiveness of the methodology in mixed DG scenario. To verify the efficacy of the proposed approach it has been tested on 33-node and 15-node distribution network. The result for both the systems confirms that the objectives are fulfilled suitably.

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径向配电网中基于热电联产的DG多目标选择方法

分布式发电技术为满足可持续发展的电力需求，已成为现代电力领域非常值得关注的技术。基于热电联产(CHP)技术的DG提供了使用相同燃料同时发电和供热的有用用途。本文提出了一种通过降低燃料成本、减少排放和最大化产热来优化配电网中不同类型热电联产的方法。利用电压稳定指标来确定热电联产机组的预期选址。非支配排序遗传算法II (NSGA-II)已被利用来评估权衡解决方案，以确定热电联产机组的规模。三种类型的柴油发电机(Dg)和两种类型的微型涡轮机(Mt)被纳入分析，以突出该方法在混合Dg情景下的有效性。为了验证该方法的有效性，在33节点和15节点配电网上进行了测试。两个系统的结果都证实了目标的适当实现。

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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2016 International Conference on Intelligent Control Power and Instrumentation (ICICPI)

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