基于指标的电网重构改进遗传方法

2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2019-10-01 DOI:10.1109/RTUCON48111.2019.8982340

S. Eroshenko, A. Khalyasmaa, M. Senyuk, D. Snegirev

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引用次数: 0

摘要

本文提出了一种基于指标和遗传优化思想的电网重构新方法。电网拓扑的“适应度”由总周期短路电流的相对减小量来估计。为了保证所得到的网络拓扑的可行性，考虑了功率损耗、输电线路载重、电压等级等约束条件。通过实际区域电力系统的118母线片段验证了该方法的有效性，与传统的遗传优化方法相比具有较高的效率。

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Indicator-based modified genetic approach for power network reconfiguration

The paper presents a novel approach to power network reconfiguration, based on indicators and genetic optimization philosophy. The “fitness” of power network topology is estimated by the relative decrease o the total periodic short-circuit currents. Power losses, power transmission line lading, voltage levels are considered as constraints in order to ensure feasibility of the resulting topology of the network. The approach was verified using 118-bus fragment of the real regional power system and demonstrated high efficiency in comparison to the conventional genetic optimization.

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来源期刊

2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)

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