System optimization reports and scripts
Creators: name: Muñoz Peña, Paula
name: Montalà Palau, Montserrat
name: Cheah-Mane, Marc
name: Gomis-Bellmunt, Oriol
Publisher: name: Zenodo
Year: 2024

description: Multiport converters (MPC) are presented as a general power electronics solution for enhancing power operation in the distribution system and that can contribute to facilitate a massive integration of distributed renewable generation while enhancing the interconnection of multiple electrical grids and equipment. The MPC implement an integrated solution combining the advantages of energy storage and other grid support equipment.

This deliverable develops an optimisation-based methodology to size and locate multiport converters and analyses how their introduction can improve distribution systems’ performance through a technoeconomical analysis. Three different methodologies are presented. Two case studies are also presented to validate the methodologies.

The first methodology to size multiport power converters is divided into three steps: days selection of the load and renewable resource availability profiles, storage sizing, and multiport converter sizing optimisation. The MPC sizing optimisation considers the days selected previously instead of the whole year, includes electrical constraints, and also optimises the system operation. This methodology also provides technical and economic indicators for a complete evaluation of the multiport converter integration.

This first methodology is evaluated in a case study based on a medium voltage benchmark network from CIGRE with the objective of reducing renewable generation curtailment. The multiport converter solution is compared to alternative configurations with separated batteries and a simple switch interconnection, it also considers different penetrations of renewable energy. Additionally, a sensitivity analysis of economic parameters is performed. Overall, the case study aims to identify the most benefitial scenarios where multiport converters can be considered as a potential solution.

The second methodology is a multiport converter sizing optimisation without grid constraints that considers the system operation in a one-year time horizon, in addition to the technical and economic indicators. This methodology is evaluated with the same CIGRE case study to analyse the impact ofthe electrical constraints in the multiport converter sizing.

Then, an optimisation-based methodology to size and locate multiport power converters together with a techno-economic comparison to other conventional approaches. This methodology includes AC power flow constraints and is evaluated in a case study based on IEEE 33 bus system to identify the best scenarios where multiport converters can be considered as a potential solution to avoid undervoltages and reduce losses. Compared with previous methodologies, this one identifies the location where the multiport is more profitable.

On the other hand, this work also addresses the role of resilience in planning distribution networks. Efficient, reliable, and secure supply is insufficient in a context where electricity is becoming a key energy vector for economies and societies. Thus, resilience, understood as the ability to anticipate, operate, and learn from disruptive events, is becoming a crucial principle in the planning and operation of networks.

This work introduces a GIS-based approach to tackle the issue of resilience in network planning. The approach includes three main stages. First, the development of a geolocated hazards database, including all those disruptive events that might affect the system but are out of the system’s control. Second, the evaluation of the vulnerabilities of the system. Third, a risk assessment and a resilience analysis. The risk assessment provides information about the amount of power or energy risked in each asset. The risk assessment allows the identification of the most critical regions and the evaluation of different mitigation actions. In addition, the resilience analysis provides information about the global power or energy risk compared to the total power or energy expected to be managed by the system. Finally, this study delves into the resilience of an MV distribution network located in a rural area in Spain and the implementation of various mitigation actions to enhance resilience through the proposed methodology.