Modelling Of Demand Response Strategies For Future Electricity Distribution System In Malaysia

Gan, Chin Kim and Ab Ghani, Mohd Ruddin and Ibrahim, Khairul Anwar and Au, Mau Teng (2019) Modelling Of Demand Response Strategies For Future Electricity Distribution System In Malaysia. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

The large penetration of solar photovoltaic (PV) system at Low Voltage (LV) network has started to introduce new challenges for the distribution network operators. With the emergence of smart grid technology, Demand Response (DR) has been identified as one of the promising ways for network operators to increase operational flexibility, particularly under the presence of renewable energy resources. Therefore, it is important to investigate as how DR application at L V consumer level can help to improve network performance. However, limited number of works has so far addressing the implications of DR at LV networks with the presence of PV system. The parametric analysis of the benefits of DR has not been adequately addressed for LV networks with multiple DR-PV interaction scenarios. This work presents a fractal-based approach to model a large number of urban LV networks. Subsequently, Particle Swarm Optimization technique is utilized to model individual consumers' optimized DR profiles. Comprehensive network case studies are performed considering 100 urban LV network samples under the influence of different DR-PV scenarios. This translates into a total of 10,000 network case studies. The results suggest that with 100% of PV penetration, DR applications at residential consumer level can achieve 32% of peak reduction, reduce network losses by 42% and 12% increment in the load factor.

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