A Stochastic MPC Approach to Operation Management of Microgrids for Multiple Service Provision

  • Danish Khatri

Student thesis: Phd


Increasing penetration of renewable energy sources in the energy mix is introducing new challenges when it comes to keeping the grid stable. Traditional techniques used for balancing generation and demand are becoming outdated as uncertainty and intermittency in the energy generation keeps rising. As a result ancillary services that help keep the generation and demand in balance are becoming more important than ever. Various exible resources such as battery energy storage system (BESS) and controllable demand can be aggregated and controlled in a coordinated manner to participate in ancillary services as a single entity. When such resources are geographically close to each other, they can be part of a microgrid. This thesis provides a hierarchical control framework for control of microgrids participating in energy arbitrage and multiple ancillary services. The framework leverages the concept of scenario based optimisation to account for uncertainty in forecasts, and proposes an iterative algorithm to solve optimisation problem within an acceptable amount of time. The proposed framework uses full power ow model in the optimisation problem to account for line losses and voltage constraints. Moreover, algorithms for calculating energy needs, and responding to service dispatch signals in a hierarchical control setting are provided. Several case studies have been presented to demonstrate the functionality of the proposed algorithms. The contributions of this thesis are expected to make provision of ancillary services from microgrid more reliable and feasible.
Date of Award1 Aug 2024
Original languageEnglish
Awarding Institution
  • The University of Manchester
SupervisorWilliam Heath (Supervisor), Ognjen Marjanovic (Supervisor) & Alessandra Parisio (Supervisor)


  • Ancillary Services
  • Microgrid Energy Management
  • Microgrid
  • Stochastic Optimisation

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