Microgrid Technologies for Remote Indonesian Islands

Project summary

Tech-IN is aimed at overcoming the challenges associated with the large-scale deployment of renewable-based microgrids (MGs) in the hazardous environment of the Indonesian Islands that is prone to severe natural disasters (NDs). Tech-IN’s goal is twofold: it will cope with two main concerns in Indonesia: (i) to increase the renewable energy while reducing the fossil fuel dependence, and (ii) bringing electricity to remote places and Islands. Secondly, it will provide high levels of resiliency and availability of electricity supply in front of natural disasters.

Indonesia is suffering 3,622 NDs including tornadoes, floods, and landslides occurred across the country in 2019. Each time a disaster strikes, it not just only causes an interruption in electricity supply, it also compromises telecommunication, transportation, and health sector infrastructures interconnected with the electricity network. Therefore, a resilient electrification system capable to deal with NDs is highly demanded in the Indonesian context and renewables-based scalable MGs can be the key solution in this regard.

Tech-IN will develop new MG architectures with high levels of resiliency and scalability. Three layers of granularity will be developed. The potential of MGs deployment will be investigated for grid-connected and islanded applications by considering two case studies: Lombok and Medang Islands. Moreover, based on the techno-socio-economic analysis of the Indonesian energy sector, control architectures, and reconfigurable energy management systems will be developed for all three levels of granularity.

Outputs

Midterm report
WP2 is completed where three milestones and three deliverables are achieved. Three journal and one conference papers are accepted. The outcomes of the WP2 are as follows:

1) Sizing and siting of community MGs are completed by considering the economic and environmental factors in the selected study areas;
2) The planning has been done with different spatial scales (inside a MG and power system level) and time scales (current and long-term planning to 2030 by considering the load growth rate);
3) Control strategies for community microgrids are developed according to Indonesian grid code to endow highly resilience with fault ride-through capability in case of grid faults caused by natural disasters;
4) Operation management system including power output optimization and location optimization for multi-Ad-hoc microgrid is developed to minimum the unmet energy demand for the selected critical loads;
5) Operation management system for single node and multi-node community MGs is developed as a multi-objective optimization problem to minimum cost, emissions and the unmet energy demand for the selected critical loads. Normal and abnormal scenarios were considered and validated.

In relation to WP3- T3.1, the relevant milestone is achieved with one deliverable related to deterministic planning strategy for networked microgrids considering power flow constraints in 20kV distribution network in Lombok island. Regarding WP4, HiL simulation platforms and languages are reviewed and compared.