Dispatch Decision
Support System

In recent years, utilities around the world are developing varying levels of expertise and knowledge on how to operate power grids with increasing amounts of power generation from wind and other renewable sources. Advanced decision support tools are important to manage grids with large amounts of energy from wind and other variable energy resources. Increased uncertainty and variability in grid operations would require new decision support systems designed with Intelligent User Interfaces, in order to improve the communication between the operator and the computerized tools used in control rooms. MiDS2™ – is a web based enterprise application catering to the needs of operator with entire gamut of services to manage resources.


Streamlines and optimizes the dispatch process

MiDS2™ aggregates wind power schedules and load forecast information, present and future conventional generation schedules, reserves and ramping capability into a single operator dashboard.

  • MiDS2™ would streamline the dispatch process and efficiently handle the day ahead and current day activities.
  • Accepts schedules from all the renewable energy generators –existing as well as proposed
  • Updating demand forecast based on the prevailing situation and weather pattern
  • Provide support system for scheduling other generators – CHPs, proposed hydro etc.
  • Compute year ahead, month ahead, 10 days ahead energy requirements using demand forecast and accept the generation schedules.
  • Computes day ahead schedule based on the above.
  • Optimize the overall cost and within the constraints
  • Provide visibility of capacity and ramping capability of the system.
  • Incorporate wind/solar power forecasting based on wind/solar schedules.
  • Provide sub-hourly, hourly and 6 hour outlook on system conditions (including wind/solar).
  • Online tracking of wind/solar generation and demand and initiate course correction.
  • Integrate with existing SCADA system.
  • Carryout energy calculations based on market rules.
  • It accepts hourly update of forecast from wind/solar for rolling 24 hours.
  • CHPs and other generators can update their unit status and constraints.
  • Overall schedule for all the generators based on the above would be updated and posted to the terminals of respective generators.


Components of MiDS2™

The solution architecture of MiDS2™ follows MVC design pattern and thus consists of three components: a presentation layer, business logic layer and a data access layer (DBMS). Being written in Java and Java based frameworks, MiDS2™ is a platform independent web based enterprise application.



Schedule Optimization

This feature prepares the zero schedule or final schedule based on the schedules received from various energy resources and the forecasted demand. This takes into account the unit commitment process during scheduling process for any deficit or surplus of power observed.

The presentation layer provides a user friendly responsive interface for rich user experience and efficient user interaction. The business layer constitutes the core logic for features like schedule combination & aggregation, user management, schedule configuration management etc., whereas the data access layer completely deals with the interaction of the application with database. MiDS2™ can be coupled with any RDBMS or NoSQL. databases.

Short Term Load Forecast

This module takes the historical data and SCADA data on continuous basis to forecast the short term load based on the weather data supplied. The short term load forecast results will be considered as input to day-ahead demand requirements and current day generation revisions.

The processing algorithms in MiDS2™ include: Schedule Optimization, Short term Load Forecast, Unit Commitment, and Energy Calculations according to local grid codes.





Unit Commitment

Based on the inputs from renewable generation schedules (wind, solar etc.), short term load forecast and conventional generation schedules (thermal, hydro, etc.), UC module will provide the revised schedules for conventional units using priority list method.

The MiDS2™ addresses the power system management problems in a manner that ensures long term as well as the short term operations, to maximize the net benefits of power production to the utility.