Technology

Leading the global power plant maintenance market with unrivaled technological capabilities

Specialized Technology

Renewable Energy O&M

  • Renewable Energy O&M related image

Renewable Energy O&M is a core technology that enhances the reliability of distributed energy generation facilities, including solar power, wind power, and ESS, while improving maintenance efficiency.
It can be connected to the entire process from power plant demonstration and operation optimization to new business expansion.
Based on its accumulated technical capabilities in existing power generation facility maintenance, KEPCO KPS is promoting performance verification, operational stabilization, and commercialization foundations for distributed energy facilities by utilizing generation forecasting, HILS, Hardware-in-the-Loop Simulation, P-HILS, Power Hardware-in-the-Loop Simulation, and BESS, Battery Energy Storage System, operation technologies.

Major Services

System Design and Verification through Real-Time Simulation

  • Simulates various conditions, including accidents and failures, in a virtual environment before applying actual equipment to the site, and verifies equipment operation in advance
  • Verifies the operation and feasibility of actual hardware and operating algorithms through distributed energy resource modeling
  • Performs verification by linking virtual simulation models with large-capacity actual hardware
  • Applies operation technologies such as performance verification of power generation facilities, derivation of optimal operating conditions, and failure diagnosis analysis

Renewable Energy Generation Forecasting

  • Forecasts renewable energy generation in advance based on weather and facility data
  • Predicts the amount of power that can actually be supplied from the weather stage to immediately before grid connection, and provides output values for each facility stage
  • Provides measured and forecast data of major weather information and power generation in time-series charts, and supports functions such as operating status inquiry, facility information management, and real-time status monitoring
  • Provides an environment for verifying operating algorithms for distributed energy complexes by linking with HILS through MODBUS communication

BESS (Battery Energy Storage System)Operation

  • Development of battery condition management algorithms based on operating data, including maximum power monitoring, life deviation monitoring, and remaining life prediction

Equipment

01

RTSPH (Real Time Simulation for PMS-HILS)

  • Provides the same dashboard as the field, simulation screens, and output waveform monitoring environment, and includes actual field PMS algorithms
  • Supports analog and digital input/output signals and enables oscilloscope waveform monitoring through BNC ports
02

BTB-SIM (Back To Back Power Amplifier for Simulator)

  • Performs grid-code testing of distributed energy policies currently in actual operation and real-time simulation based on commercialized green energy source products in connection with RTSPH
  • Supports standalone amplifier operation and provides an energy-regenerative test environment through a back-to-back structure
  • Supports various communication protocols, including high-speed communication, SFP, CAN, RS-485, RS-232, and Ethernet
  • Applies an AC/DC power amplifier independently developed with domestic technology
  • Supports parameter adjustment, model changes, and result monitoring through a GUI linked with real-time simulation
03

K-REGF (KPS's Renewable Energy Generation Forecasting device)

  • Performs site-customized renewable energy generation forecasting for solar power and wind power based on physical models and AI
  • Designed as a rack-type system equipped with monitoring, communication, and UPS functions, allowing operation without additional equipment installation
  • Supports time-series charts, operating status inquiry, facility information management, and real-time status monitoring functions
04

PMS+ (Power Management System Plus)

  • Integrated control and monitoring of multiple ESS operating sites
  • Monitors key status by site and manages battery condition estimation and major indicators through algorithms
  • Proposes optimal ESS operation plans and derives control measures through load forecasting algorithms
  • Develops SoX, State of X Algorithm, a battery health assessment algorithm based on ESS operating data

Software

  • MATLAB

  • Amesim

  • Typoon-HIL

  • Vivado

  • SpeedGoat

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