Powercom develops innovative solutions emerging as a new facet of power industry. It incorporates numerous advanced technologies to deal issues prevailing with conventional electric networks, capable to resolve many issues such as energy theft and ensure grid stability.

Peak Load Management (PLM) & Demand Response (DR)

Peak Load Management (PLM) & Demand Response (DR)

✓ Reduce Outage Frequency and Duration

✓ Minimize Damage

✓ Increase Crew Efficiency

During peak periods when there is high demand for energy but limited supply, it can lead to electricity disruptions like outages and grid instability. To address this issue, we offer Demand Response (DR) and Peak Load Management (PLM) solutions.

Demand Response:

Our system includes intelligent features for demand response, allowing us to gather real-time information and analyze grid conditions. This helps us identify areas of high demand and potential instability caused by factors like renewable energy and electric vehicles. Our solutions for demand response include selective appliance shut-down, customized load limiting, rapid response under-frequency circuitry, protection of infrastructure assets, and grouping capabilities.

Peak Load Management:

Peak Load Management (PLM) is crucial for stabilizing the grid during periods of high demand. Through PLM, we support large numbers of consumers by implementing power limitations when demand exceeds supply. This helps utilities reduce component load, increase grid efficiency, and enhance grid resilience. Our PLM features include peak shaving, monitoring of grid components’ load, asset protection, customer-planned peak load limitation, and outage notifications.

Advantages :

  • Detection of overload on feeder and transformer levels.
  • Activation of critical mode in meters for specified time periods.
  • Targeted activation of critical loading commands to selected meters / groups.
  • Notifications through SMS, email, or mobile application.

By leveraging our solutions, utilities can effectively manage peak demand, minimize disruptions, and optimize their grid operations.