AC Multi-Stage Transmission Network Expansion Planning considering a Multi-Voltage Approach

Patricio Cajas, Santiago P. Torres, José E. Chillogalli, H. Chamorro, Vijay K. Sood, Rubén R. Romero
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引用次数: 1

Abstract

Long-term transmission network expansion planning aims to determine where, when and which types of equipment should be installed over a period of time, in order to meet the electric market needs with certain specifications of quality in services at the lowest possible cost. Until now, several methods have been proposed to solve the Static Transmission Network Expansion Planning (STNEP) problem, considering a multi-voltage approach using the DC load flow, however, these solutions may not be feasible when the AC model is used for the operational problem. In this paper a multi-stage model based on the mathematical formulation of the AC load flow is solved, considering a multi-voltage approach, power losses and reactive power compensation. The AC multi-stage transmission network expansion planing problem with multi-voltage approach (MTNEP-MV) was solved by the hybrid meta-heuristic, Differential Evolution (DE) and Continuous Population-Based Incremental Learning (PBILc) algorithm. To evaluate the proposed mathematical formulation Garver 6-bus system was used. The results show that raising the transmission system voltage and considering the MTNEP-MV problem, less transmission lines are required, and also power losses and reactive power compensation needs, are reduced.
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考虑多电压方法的交流多级输电网扩展规划
长期输电网络扩展规划的目的是确定在一段时间内应该在何处、何时以及安装哪种类型的设备,以便以尽可能低的成本满足电力市场对一定规格的服务质量的需求。到目前为止,已经提出了几种方法来解决静态输电网络扩展规划(STNEP)问题,考虑到使用直流负载流的多电压方法,然而,当使用交流模型来解决运行问题时,这些解决方案可能不可行。本文根据交流潮流的数学公式,在考虑多电压法、功率损耗和无功补偿的情况下,求解了交流潮流的多级模型。采用混合元启发式、差分进化(DE)和基于连续种群的增量学习(PBILc)算法求解多电压法交流多级输电网扩展规划问题(MTNEP-MV)。为了评估所提出的数学公式,采用了Garver 6总线系统。结果表明,提高输电系统电压并考虑MTNEP-MV问题,可以减少输电线路数量,降低功率损耗和无功补偿需求。
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