A novel meta-heuristic model for the multi-year transmission network expansion planning

• Published in: International journal of electrical power & energy systems Vol. 107; pp. 523 - 537
• Main Authors: Alvarez, R., Rahmann, C., Palma-Behnke, R., Estévez, P.A.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2019
• Subjects: Ant colony optimization; Line reconductoring; Renewable energies; Series compensation; Transmission network expansion planning; Voltage uprating; Transmission network expansion planning; Ant colony optimization; Line reconductoring; Renewable energies; Series compensation; Voltage uprating
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2018.12.022

•Line uprating options are a relevant alternative for integrating renewable energies.•No current models for TNEP are able to consider these options simultaneously.•This proposal enables to include line uprating options in the TNEP in a natural way.•Including line uprating in the TNEP enables to achieve more economic expansion plans.•Reducing the number of new lines to be built is another benefit that can be achieved. The fast construction times of projects based on variable generation technologies (VGTs) such as photovoltaic and wind generation, together with growing difficulties for building new transmission lines due to socio-environmental requirements, have opened new challenges in the development of sustainable power systems. Due to the complexity of the Transmission Network Expansion Planning (TNEP) problem, current models are usually oversimplified and do not always meet the requirements needed for the practical application. Examples of these simplifications are the use of reduced network equivalents, limiting the planning horizon to one or a few years and limiting the expansion options to adding new lines in given corridors. To meet the new challenges and achieve a time-effective increase of the transmission capacity for the integration of VGTs, improved models and algorithms capable of taking into account a higher degree of detail in the TNEP problem are needed. In this article, a novel meta-heuristic multi-year TNEP model based on Ant Colony Optimization (ACO) is presented. One of the main characteristics of the model is that it enables us to consider simultaneously further expansion options such as line reconductoring, voltage uprating, and adding series compensation to lines. We tested the proposed ACO model with the Garver’s 6-bus test system and a modified version of the IEEE118-bus test system, assuming a significant incorporation of VGTs. The results obtained for a 15-year planning task show (i) an excellent performance of the model in terms of quality of the obtained solution and computational times, compared to the traditional MILP approach, and (ii) including line uprating options within the multi-year TNEP brings significant benefits such as reducing the total investment and congestion costs of the system as well as the number of lines to be built.