求解最优潮流的多目标回溯搜索算法

2017 International Conference on Electrical and Information Technologies (ICEIT) Pub Date : 2017-11-01 DOI:10.1109/EITECH.2017.8255253

F. Daqaq, R. Ellaia, M. Ouassaid

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引用次数: 4

摘要

利用多目标函数求解最优潮流问题已成为电力系统研究的热点问题之一。本文提出了一种求解高约束多目标优化问题的新方法。该方法采用多目标回溯搜索算法(MOBSA)作为主要优化器，对OPF问题的电力系统控制变量进行最优调整。考虑几个目标，如燃料成本最小化，电压改善，电压稳定性增强。该技术已在标准IEEE 30总线系统上进行了测试。演示了MOBSA方法，并与几种智能启发式算法进行了比较。

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Multiobjective backtracking search algorithm for solving optimal power flow

Optimal Power Flow (OPF) using the Multi objective functions is becoming one of the most important issues in power system. This paper presents a new method to solve the highly constrained multi-objective optimization. In the proposed approach, Multi Objective Backtracking Search Algorithm (MOBSA) is used as the main optimizer for optimal adjustments of the power system control variables of the OPF problem. Considering several objectives such as fuel cost minimization, voltage improvement, and voltage stability enhancement. The proposed technique has been examined and tested for standard IEEE 30 bus system. The MOBSA method is demonstrated and compared with several intelligence heuristic algorithms.

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2017 International Conference on Electrical and Information Technologies (ICEIT)

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