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Multi-objective transmission congestion management considering demand response programs and generation rescheduling

机译:考虑需求响应计划和生成重新安排的多目标传输拥塞管理

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摘要

With the implementation of restructuring and deregulation in the electricity industry, efficient and economic operations of power systems have become remarkably significant. Meanwhile, congestion in transmission lines is one of the major problems in power system operation. Therefore, in this paper, the multi-objective particle swarm optimization (MOPSO) method has been used for transmission congestion management considering demand response programs (DRPs) and generation rescheduling. Total operation/DR cost, emission and increasing the loading of transmission lines are the objective functions of this problem. Using DRPs increases the operator power of choice with regard to the participation of small consumers in reducing the demand. The method already mentioned has been tested on two test systems (IEEE 30-bus and IEEE 118-bus test systems). The results of the evaluation in the form of different scenarios show that DRPs reduce the power system transmission lines congestion, allowing the use of the transmission lines with less loading capacity. Also, in some instances, without using DRPs, solving the transmission congestion management problem is impossible. (C) 2018 Elsevier B.V. All rights reserved.
机译:随着在电力行业的重组和放松管制的实施,电力系统的高效和经济运营变得非常重要。同时,传输线中的拥塞是电力系统操作中的主要问题之一。因此,在本文中,考虑需求响应计划(DRPS)和生成重新安排,用于多目标粒子群优化(MOPSO)方法已用于传输拥塞管理。总操作/博士成本,排放和增加传输线的装载是这个问题的客观函数。使用DRPS增加了在减少需求方面的参与方面的选择权力。已经提到的方法已经在两个测试系统上进行了测试(IEEE 30-BUR和IEEE 118总线测试系统)。不同情景形式的评估结果表明,DRPS降低了电力系统传输线的拥塞,允许使用较少负载能力的传输线。此外,在某些情况下,不使用DRPS,解决传输拥塞管理问题是不可能的。 (c)2018 Elsevier B.v.保留所有权利。

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