Optimization of Microgrids
based on
Battery Energy Storage Systems
Optimal Parameters Definition of Battery Energy Storage System (BESS) based on energy measurements
Objective:
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Optimization study considers dozens of factors for specific BESS or microgrid applications, potentially reducing capital expenditures by up to 20%*
* Based on our Optimization Calculations conducted for companies in Austria and Ukraine for microgrids and BESS with capacities ranging from 0.4 to 30 MW, we found that there is potential to reduce capital expenditures by up to 20% through the use of parameter optimization and customized EMS modes
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Provide a realistic assessment of the payback period by incorporating multiple variables
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Compare various BESS application scenarios with variations in parameters and control methods to determine optimal parameters and define system requirements
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Evaluate BESS degradation and analytics for specific applications, among other critical considerations
Contact us, and we will send you the Optimization Calculation Demo Report, where you can see the expected results
Main Outcomes:
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Due to object-oriented calculation, optimization makes it possible to reduce capital costs by up to 20% compared to standard recommendations for equipment selection
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Estimation the performance of future equipment with existing equipment, based on current consumption and generation power measurements
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Define optimal power/capacity of Battery Energy Storage System (BESS)
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Define ratings of the grid inverter and associated electrical equipment
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Feasibility study, accurate calculation of the payback period due to taking into account many factors
Simulation:
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Comprehensive study of modes in the power grid during equipment operation - short-circuit currents, protection actions, harmonics, power flows
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The ability to see the operation of equipment in emergency / abnormal mode
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The possibility of finding errors in technical solutions, analytical calculations, at an early stage, which has a positive effect on the timing of the project and cost
Analytics:
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Estimate number of cycles and resource of ESS
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Analysis of ESS process technological shutdowns caused by max/min SOC, max/min Vbat. Taking into account shutdowns in payback calculations
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Evaluation of different EMS control strategies to optimize the technical and economic performance of the system
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The need to install a new/additional solar station, gas generator, determine their power
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Analysis of results, development of recommendations
What is taken into account in calculation
Load (private house, apartment house, factory)
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easurements of electricity consumption over time. This characterizes the behavior of the load during the day/week/month/year.
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Specific industrial equipment that provides reactive power, inrush currents, additional harmonics, etc (if available)
Grid
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Measurements of electricity consumption over time
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Grid limitations (e.g. power limitations, power outages for a certain duration, unstable voltage, etc.)
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The cost of electricity, taking into account zones or different prices during the day
Solar power plant
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Measurements of electricity generation over time.
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Variation in the power of a solar power plant
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Generation variation depending on seasonality
Battery energy storage system
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Battery capacity variations
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Inverter power variations
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Battery characteristics (NMC/LFP/LTO, serial/parallel connection of cells, dependence on load current)
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CC/CV controller
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Charge/Discharge logic
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Limitation on SOC and charge overvoltage
Diesel/Gas generator
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Load consumption characteristics
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Efficiency characteristic
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Fuel cost
Energy Management System
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Conventional home control system
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Grid controller (when considering grid-related modes - peak shaving, Frequency Containment Reserves (FCR), Frequency Restoration Reserves (FRR), Replacement Reserves (RR) etc.)
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