The City of Yarra is accelerating its path to zero carbon emissions by 2030 through optimised solar and battery deployments across council facilities. By integrating SwitchDin’s optimisation technology, the Council expects to cut energy costs by up to 91 percent, shorten payback periods by 23 percent, and maximise the value of its clean energy assets, setting a benchmark for community led renewable energy outcomes.

Horizon Power, Western Australia’s regional utility, partnered with SwitchDin to enable greater rooftop solar adoption across remote microgrids. Through a pilot in Onslow, the project demonstrated how customer owned solar and battery systems can be safely integrated using open standards, supporting continued network growth while advancing decarbonisation goals.

Endeavour Energy, a Distribution System Operator serving over one million customers across Sydney’s Greater West, the Blue Mountains, the Southern Highlands, Illawarra, and the South Coast of NSW, partnered with SwitchDin to address this challenge through an initial distributed energy resource pilot.

The pilot focused on managing 1,200 customer sites using Sungrow devices, with the objective of gaining visibility and control over rooftop solar systems through a single interface. By leveraging SwitchDin’s Grid Services Function and the IEEE 2030.5 industry protocol, Endeavour Energy demonstrated a scalable and standards based approach to distributed energy resource management.

The outcome positioned Endeavour Energy to confidently support future growth in rooftop solar and batteries while maintaining operational reliability and grid stability.

Getting inverter control to work in a lab is easy. Making multiple inverter brands, batteries, and firmware versions behave consistently across live C&I sites is the real challenge. This blog outlines five common causes of integration breakages, why standards like IEEE 2030.5 are helping but not solving everything, and how SwitchDin de-risks multi-vendor integrations through disciplined change management, AI-assisted engineering, and optimisation at scale.