
Our Project Portfolio
ETP partners with a diverse range of clients in the energy industry, providing essential pre-field testing and simulation services, as well as reliable Power-Management-System (PMS) and Power-Plant-Controller (PPC) solutions. Our robust portfolio showcases our ability to deliver top-tier services and support, ensuring that our clients' smart grids remain operational and efficient. By highlighting our expertise and commitment to excellence, we help our clients understand the full range of value we offer, setting us apart in a competitive market.
Our Services: Helping You Succeed
At ETP, we are dedicated to providing comprehensive, turnkey solutions, services, and support for clients looking to modernize their electric grids by integrating Distributed Energy Resources (DERs), such as utility-scale Battery Energy Storage Systems (BESS), and transitioning away from carbon-intensive energy sources and loads. We offer end-to-end lifecycle support, from pre-field simulation and testing through to field testing, commissioning, handover, and ongoing after-sales support and maintenance services, ensuring a seamless and successful grid modernization process!
AI Data Center Load Modeling and UPS Dynamic Representation (100 MW) | 2025
Implemented detailed switching and average UPS models to accurately represent AI data center dynamic behavior. Conducted Transient dynamic performance studies and provided risk/mitigation assessments for stakeholders.

HIL Testing of PCS Controller Through Both RTDS and Typhoon Co-Simulation | 2026
Completed Hardware-In-the-Loop testing of EPC Power M Series control system for a hyperscale to ensure that functions such as GFM and GFL as well as compliance with grid codes and standards including IEEE 2800 can be met. In addition, load smoothing capabilities of the EPC Power M system and Agile technology are also evaluated.

Turnkey PMS and SCADA Development, HIL Testing and Commissioning for a 20-MW Data Centre in Middle East | 2025-2026
ETP developed a turnkey Power-Management-System for a 20-MW facility in Dreez in Oman. This project included development of the PMS, Historian Servers, and FAT and SAT testing of the controller for Dema Energy (the client) and OETC who is the utility to ensure that the PMS can enable time-critical functions such as Under-Voltage-Load-Shedding (UVLS) and Under-Frequency-Load-Shedding (UFLS) as well as operation of the system based on normal, droop and emergency mode.

Harmonic Study for 40 MW Data Center and Cooling Infrastructure | 2026
A harmonic performance assessment was completed for the proposed data center to support interconnection with the 25 kV distribution system and evaluate alignment with IEEE 519 requirements. The study included harmonic profiles of major electrical components such as UPS systems, VFD-driven cooling equipment, battery chargers, and detailed model of transformers, cables, auxiliary equipment, and the utility source. Multiple operating scenarios were assessed, including full-load and partial-load conditions.

Fault Ride through and LVRT assessment of 100 MW Data Center Load | 2026
A fault ride-through and low-voltage ride-through (LVRT) assessment was completed for the proposed 100 MW AI load facility with UPS systems to support grid interconnection and evaluate system response during voltage disturbance events. The study included detailed modeling of the utility interface, UPS systems, transformers, cables and associated electrical infrastructure. A range of fault and voltage sag scenarios was assessed to examine dynamic behavior under representative operating conditions.

Insulation Coordination Study of 50 MW Data Center BESS Facility | 2026
An insulation coordination study was completed for a 115 kV substation serving a 50 MW data center facility to support interconnection design and evaluate system performance under transient overvoltage conditions.
The study included detailed modeling of the substation, associated equipment, and the transmission interconnection. A detailed transmission line lightning model was developed to represent tower structures and stray capacitances, enabling realistic assessment of lightning-related surge behavior. The analysis supported evaluation of insulation withstand requirements, surge protection coordination, and overall system design considerations for the interconnection.

AI Data Center Microgrid - Transition Functions from Grid Connected to Islanded Operation | 2026
A dynamic transition study was completed to evaluate the 100 MW data center microgrid response during scheduled and unscheduled transfer from grid-connected operation to islanded mode.
The EMT model captured interactions among the utility interconnection, onsite generation, BESS, solar PV, and critical data center loads to assess control coordination and system behavior during the transition event.

AI Data Center Microgrid - Sustained Islanded Operation with Variable AI Load Profiles | 2026
A sustained islanded operation assessment was performed for the data center microgrid under variable AI training schedules and corresponding load fluctuations. The study evaluated dispatch management by the Power Plant Controller across available generation resources, including BESS, solar PV, and backup generators, to support stable operation under changing demand conditions.

AI Data Center Energy Management System Controller Development | 2026
An Energy Management System (EMS) controller model was developed to support coordinated operation of the data center microgrid. The model was designed to oversee interaction between the Power Plant Controller and available generation resources, while monitoring battery state of charge to support operational decision-making. The work included implementation of dispatch logic, generation coordination functions, and curtailment controls to manage resource utilization across varying system conditions. The EMS model provided a framework for evaluating supervisory control strategies and overall microgrid operational management.

AI Data Center Microgrid - Protection Evaluation | 2026
A protection evaluation was carried out for both grid-connected and islanded operating modes using three-phase and single-phase fault scenarios. The study assessed system response, protection coordination, and fault behavior across the microgrid to support further development of an effective protection philosophy for both normal and islanded conditions.

Data Center Load Flow, Reliability, and Reactive Power Assessment _1GW | 2025
Developed ETAP and PSS®E models of a 1 GW data center facility and performed load flow, reactive power, voltage regulation, short-circuit, and reliability studies. Evaluated equipment loading, contingency conditions, reactive power requirements, and overall system performance to support facility planning and grid interconnection assessments.

Data Center EMT and Dynamic Performance Studies_1GW | 2025
Developed detailed PSCAD models of a 1 GW data center to evaluate transient and dynamic performance under load acceptance/rejection events, transformer energization, ride-through conditions, and transitions between islanded and grid-connected operation. Assessed system frequency and voltage response during major disturbances and operating mode transitions.

IBR Interaction, SSR, and SSTI Assessment_1GW | 2025
Conducted PSCAD studies for a 1 GW AI data center to evaluate interactions between inverter-based resources, utility systems, and large AI-related load dynamics. Performed Sub-Synchronous Resonance (SSR) and Sub-Synchronous Torsional Interaction (SSTI) assessments, examining the influence of converter controls, network strength, and operating conditions on overall system stability and identifying mitigation measures for reliable operation.

200 MW AI Data Center Dynamic Performance and Battery Energy Storage Assessment | 2025
Developed a detailed PSCAD/EMT model of a 200 MW AI data center, including reciprocating-engine generators, cooling loads, AI computational loads, medium-voltage distribution systems, and Tesla Megapack battery energy storage systems (BESS). Evaluated the impact of rapid AI load variations on system frequency, voltage, generator loading, and overall dynamic performance under islanded operating conditions. Designed and assessed BESS-based load-smoothing strategies to mitigate high-frequency load fluctuations, reduce generator stress, and improve system stability. Performed transient studies including load acceptance, load rejection, frequency response, and energy storage control performance to support the design and reliable operation of large-scale AI data center power systems.

100 MW AI Data Center EMT Studies and Stability Assessment | 2026
Developed an aggregated PSCAD/EMT model of a 100 MW AI data center, including AI loads, cooling systems, grid-forming BESS, and a 108 MVA synchronous generator with an IEEE benchmark multi-mass shaft model. Evaluated Sub-Synchronous Torsional Interaction (SSTI) risks caused by high-frequency AI load pulsations, assessed mitigation strategies using EPC and SMA grid-forming BESS technologies, and performed sensitivity studies on inverter response bandwidth, measurement delays, grid strength (SCR), and LVRT performance to ensure reliable operation and long-term equipment integrity.

AI Data Center Flywheel Energy Storage System (FESS) Modeling and Performance Assessment_100MW | 2026
Developed detailed PSCAD/EMT models of flywheel energy storage systems (FESS) for a 1 GW AI data center facility comprising reciprocating-engine generators, AI computing loads, and cooling infrastructure. Evaluated the effectiveness of FESS technology for mitigating AI load fluctuations, providing frequency support, reducing generator power oscillations, and improving system stability under islanded operation. Performed transient studies including load rejection, fault response, energy management, and frequency regulation to assess the operational capabilities and limitations of flywheel-based energy storage systems in large-scale AI data center applications.

Supercapacitor-Based Fast Frequency Response and Load Smoothing Studies for AI Data Centers_100MW | 2026
Developed PSCAD/EMT models of fast-response energy storage systems based on grid-forming battery controls configured to emulate supercapacitor behavior within a 1 GW AI data center facility. Investigated the ability of ultra-fast energy storage systems to compensate for high-frequency AI load variations, improve frequency stability, and reduce dynamic stress on reciprocating-engine generators. Performed sensitivity studies on control bandwidth, ramp-rate limitations, measurement delays, and energy management strategies to establish performance requirements for load-smoothing applications in islanded AI data center microgrids.















