ENERGY MANAGEMENT
TRY MW-EMS DEMO ONLINE
Explore MW-EMS energy management system through an interactive online demo showcasing a simulated commercial & industrial microgrid.
The demo environment includes:
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Photovoltaic system with 550 kW peak generation
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Battery Energy Storage System (BESS): 5 units × 125 kW / 261 kWh
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Electrical load profile with up to 400 kW peak demand
The demo is designed to provide a hands-on overview of the MW-EMS user interface and its core energy management capabilities in a realistic microgrid scenario.
Access is provided in view-only mode for evaluation purposes.
Launch demo: www.mw-ems.m-works.pro
Login: guest@m-works.pro
Password: asdf9
MW-EMS CORE
FOR MICROGRIDS
MW-EMS is a comprehensive Energy Management System for commercial and industrial microgrids, covering the full set of functions expected from modern C&I energy solutions.
Core capabilities include:
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Peak Shaving and Peak Shifting
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Load Shifting and Demand Management
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Time-of-Use (ToU) tariff optimization
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Coordinated control of PV, BESS, grid connection, and local loads
MW-EMS enables stable, transparent, and economically efficient microgrid operation by aligning energy flows with technical constraints and market conditions.
ADVANCED EMS:
DIGITAL TWINS, FORECASTING & AI
MW-EMS can be extended with advanced, model-based and data-driven functionality, including digital twins, forecasting algorithms, and AI-assisted optimization.
These capabilities enable:
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Improved utilization of on-site solar generation
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Increased revenue from energy arbitrage and flexibility services
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Reduction of production energy costs for industrial consumers
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Deeper integration of energy management into the technological process
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Higher level of automation in microgrid operation and control
Advanced EMS functionality transforms MW-EMS from a supervisory system into a decision-making and optimization platform for complex energy systems.
EMS-EV
ENERGY MANAGEMENT FOR EV CHARGING IN MICROGRIDS
EMS-EV is a specialized extension of MW-EMS designed for intelligent energy management of EV charging infrastructure within microgrids.
EMS-EV dynamically coordinates EV chargers with grid constraints, local loads, on-site generation, and battery energy storage systems to ensure safe, efficient, and economically optimal operation.
KEY CAPABILITIES
EMS-EV continuously considers:
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Grid connection limits (transformer rating or contractual power)
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Consumption of mandatory local loads
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Available power from PV systems and BESS
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Real-time operating conditions of the microgrid
Based on this data, EMS-EV calculates the maximum permissible charging power in real time and automatically allocates or limits power to EV chargers as required.
Charging stations are required to support two control interfaces: Modbus and OCPP.
Real-time power control are executed via Modbus, ensuring fast and deterministic response to changes at the site.
CUSTOMER VALUE
EMS-EV enables:
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Installation of EV charging infrastructure with total rated power exceeding the grid connection limit, while maintaining compliance with grid constraints
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Prevention of grid overloads and contractual power violations through automatic, real-time power control
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Priority-based charging, including VIP or fleet charging scenarios with guaranteed power allocation
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Optimal utilization of PV and BESS, reducing peak demand and operational costs
By integrating EV charging directly into the microgrid control logic, EMS-EV transforms charging infrastructure from a constraint into a flexible and controllable energy asset.
MICROGRID OPTIMIZATION, SIMULATION & ANALYTICS
MW-Engineering provides advanced engineering services for the design, validation, and optimization of microgrids, combining simulation, analytics, and EMS-driven operational modeling.
These services support decision-making across all project stages — from early feasibility studies to commissioning, optimization, and troubleshooting of operating systems.
Optimization & Feasibility Studies
Object-oriented modeling and scenario-based optimization enable technically sound and economically justified system design.
Key outcomes:
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Up to 20% reduction in capital expenditures (CAPEX) compared to standard rule-of-thumb equipment sizing
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Performance estimation of new equipment based on measured consumption and generation profiles
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Determination of optimal BESS power and energy capacity
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Proper sizing of grid inverters and associated electrical equipment
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Accurate feasibility studies with realistic payback period calculations, accounting for multiple technical and economic factors
Microgrid Simulation
Detailed simulations enable a comprehensive analysis of microgrid behavior under normal and abnormal operating conditions.
Simulation capabilities include:
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Analysis of power flows, short-circuit currents, harmonics, and protection behavior
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Evaluation of system response in emergency and fault scenarios
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Early detection of design errors in technical solutions and analytical calculations
Early-stage simulation significantly reduces project risk, shortens commissioning time, and lowers overall project cost.
Analytics & Performance Assessment
Advanced analytics provide deep insight into system performance, lifetime, and economic efficiency.
Key analytics functions:
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Estimation of ESS cycling, degradation, and remaining useful life
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Analysis of ESS shutdown events caused by SOC or battery voltage limits, including their impact on financial performance
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Comparison of different EMS control strategies to optimize technical and economic KPIs
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Assessment of the need for additional assets such as PV systems or backup generators, including optimal sizing
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Interpretation of results and development of actionable technical and operational recommendations
PROJECTS
IN ENERGY SECTOR
Control System AVR+PSS for Turbogenerator 320 MW
The developed control system (automatic voltage regulator AVR + power system stabilyzer PSS) was tested on a 320 MW turbogenerator in 2019.
The tests were carried out in accordance with the “Energy Technology and Governance Program (ETAG) Ukraine power system support project consultancy to Ukrenergo for interconnection of Ukraine electric transmission grid with ENTSO-E”. The tests were conducted with the participation of National Power Company Ukrenergo (Ukraine), EPRA (Turkey), United States Energy Association (USA), Institute Of Power Engineering From Gdansk (Poland).
Static Var Compensator (SVC) 13 MVAR for Arc Furnace Application
Development of a reactive power compensation system for an arc electric furnace operating in continuous production, without the possibility of direct electrical measurements.
The project addressed the complexity of modeling an arc furnace as a highly nonlinear load and accurately estimating the harmonic spectrum generated by the process.
The solution demonstrates deep expertise in grid compensation, power quality, and model-based engineering under real industrial constraints.
Battery Energy Storage System (BESS) 100 kW / 200 kWh
Development of a 100 kW / 200 kWh energy hub based on an Active Front End converter and LFP/LTO battery technologies.
The project included control system design and a feasibility study covering multiple operational modes and market participation strategies.
The solution demonstrates expertise in BESS architecture, EMS-driven operation, and techno-economic optimization.
Active Front End (AFE) Rectifier for Battery Energy Storage Systems
Model-based development of both the power stage and control system for a 1000 V, 200 A Active Front End rectifier for Battery Energy Storage System applications.
The project focused on bidirectional power flow, grid-compliant operation, and harmonic mitigation under dynamic operating conditions.
The solution highlights expertise in control design for high-power, grid-connected converters.
10 kW Power Conversion Unit for DC Fast Charging
Development of a 10 kW power converter unit with output voltage range of 50–500 V for EV DC fast charging stations. The project focused on efficient power conversion, flexible voltage adaptation, and suitability for modular charging architectures. This work highlights expertise in power electronics for e-mobility and charging infrastructure.
Parameters estimation of the power generator 320MW
Development and application of a parameter estimation tool to optimize 12 static and dynamic parameters of a 320 MW synchronous generator and associated grid model.
Measured operational data were used to calibrate the simulation model, ensuring the simulated stator voltage and power flow accurately reflect real-world performance.
This work demonstrates advanced system identification capabilities and enhances the fidelity of generator and grid simulations.