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Control strategy design for an agrivoltaic and controlled-environment agriculture (CEA) microgrid on a constrained feeder, including inverter sequencing logic, battery-PV coordination, non-export operation, and demand-response algorithms for farm infrastructure.

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Apple Farm Agrivoltaic Microgrid – EMS Control Strategy

This repository documents the design of a microgrid control strategy for an agrivoltaic deployment at a commercial apple farm. The system supports both photovoltaic generation and controlled-environment agriculture (CEA) loads while operating on a constrained distribution feeder with strict import and export limits.

The Energy Management System (EMS) developed for this project coordinates a hybrid PV–battery architecture to prioritize self-consumption, minimize clipping, and stagger inverter output under real-time feeder constraints.


Control Strategy Objectives

  • Operate under strict non-export or export-limited conditions on a rural feeder.
  • Prevent inverter clipping by staggering PV output relative to irradiance and load transitions.
  • Coordinate battery charging and discharging to absorb surplus production and reduce grid imports during high demand.
  • Support CEA operations (pumps, climate control, storage refrigeration) through demand-response scheduling.
  • Provide a scalable and repeatable control template for agrivoltaic microgrids with high PV penetration.

Microgrid Architecture (Overview)

The control strategy assumes a hybrid inverter and battery system where:

  • PV inverters operate in a priority-limited output mode based on irradiance and feeder headroom.
  • The battery absorbs surplus generation during mid-day and discharges during load peaks.
  • CEA and farm-related loads respond to demand response signals based on environmental and operational conditions.
  • Non-export constraints override all operating modes, forcing discharge suppression or diversion to site loads.

This architecture supports both PV generation and real-time farm operations without exceeding feeder constraints.


EMS Control Logic

The EMS control framework includes:

Decision Layer Function
Inverter Sequencing Staggers PV output based on irradiance forecast and real-time feeder limits
Battery Dispatch Absorbs surplus PV; discharges to offset imports when headroom is low
Load Coordination Prioritizes CEA operations based on environmental risk and energy cost
Export Limit Enforcement Caps inverter output based on allowable export capacity

The logic is based on irradiance-driven switching, site-specific demand windows, and feeder headroom thresholds.

The control-logic/ directory contains state diagrams and rule sets illustrating key transitions.


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Control strategy design for an agrivoltaic and controlled-environment agriculture (CEA) microgrid on a constrained feeder, including inverter sequencing logic, battery-PV coordination, non-export operation, and demand-response algorithms for farm infrastructure.

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