Software solution providing remote off-grids with coordinated management of distributed energy resources, storage systems, demand response units and local volt/var control.
Building advanced energy management, control, and electricity procurement solution designed to optimize distributed energy resources supplying high quality electricity at minimum cost.
Designed to solve a number of problems industries are facing in terms of energy management: excessive energy costs, production losses, excessive technological equipment maintenance and repair costs.
AMIGO Lab is a software test bed intended for simulation of hybrid microgrids including PV panels, wind farms, energy storage systems, diesel generators, heat pumps, fuel cells installations, hydro generators, programmable loads etc.
AMIGO Cloud Services is an RTSoft Cloud service, allows to collect and transmit AMIGO data: weather forecasts, energy prices, fuel prices and other data.
AMIGO (on premise or cloud) provides autopilot or navigator functioning of the following algorithms: deviation management, load shifting, peak shaving, demand response
SCADA provides the necessary humanmachine interface for loads and power generation management and telecontrol commands
Web UI is a simple web-interface for efficiency monitoring. Allows to access AMIGO in any location from desktop, tablet or smartphone
EMS functions provide renewables distribution and load forecasting, optimization of equipment operation
Control System provides setpoints calculation and delivering to the equipment
AMIGO Edge provides interfaces for load and power generation data collection, interaction of system agents: power generators controllers, сonsumers' 1– n meters, etc. AMIGO Edge supports multiple protocols. Ensures data transfer from the field equipment to AMIGO Compact EMS for the purpose of the smart solutions.
AMIGO can be used anywhere, where decentralised renewable energy is generated, stored, distributed, and consumed. RTSoft AMIGO monitors, controls and manages microgrids of low and medium voltage (from 1kV to 60kV) autonomously and without human intervention.
Optimization of Energy costs: minimizes costs by automatic generation control with Grid/ Resources costs optimization
Loss Reduction and improvement of power quality and reliability indexes: provides coordinated volt/var regulation
Implementation of VPP algorithms: provides virtual power plant services as market aggregator
Islanding: proceeds net-zero mode and islanding with load frequency control
Forecasting: predicts commitment, renewable generation and energy consumption
Reduction of operating costs: controls equipment operating limits and asset health monitoring
Scalability and interoperability: AMIGO may be configured to the different microgrid size from a few houses to districts and towns
Automatic control: does not require operational personnel and provides self-diagnostic functions
Economic benefits evaluation
|Unit commitment||Equipment efficiency — at optimal level; Relatively stable workload schedule||15 – 25%|
|Generation optimization||Low-cost energy resources utilisation||3%|
|Demand response||Energy cost reduction or pay-offs||2 – 5%|
|System regulation and ancillary services||Additional payments for LFC, reserve management Blackstart assessment||2 – 5%|
|Volt / var optimization and control||Conservation voltage reduction (load decrease) Loss reduction||2 – 5%|