Community Research and Development Information Service - CORDIS

FP5

MICROGRIDS Report Summary

Project ID: ENK5-CT-2002-00610
Funded under: FP5-EESD
Country: United Kingdom

Method for simulating energy and ancillary services markets for Microgrids

The Microgrids simulation tool developed in Fortran has the following features and capabilities:
- It contains the complex modelling of:
-- Transmission lines.
-- Synchronous generators (active and reactive generation can be controlled and/or fixed separately).
-- Non controllable generators (PV,wind) can be modelled as a fixed PQ load for a snap shot condition.
-- Tap changers.
-- Shunt reactive compensators.
-- Fixed and controllable loads.
-- Active frequency droop control characteristics.
-- Reactive voltage droop control characteristics for a 3-phase balanced system.

- Load flow analysis provides the conditions of voltages (magnitude and angle), power flows, and losses in the system. All possible types of sources can be included (PV, PQ, sources with no control capabilities).

- An advanced solution technique for optimising operation in Microgrids has been developed. The objective is to minimise the operation costs incurred by utilising micro sources, trading with public grids and shedding loads. Operational constraints and physical limits of individual devices are taken into account. The decision variables are the despatch of active and reactive power generation from micro sources, positions of tap changers, reactive compensators, controllable loads. The secondary outputs are the nodal prices for active and reactive power injection. The prices can be used as market signals to the despatchable micro sources and loads to stimulate optimal allocation of resources in microgrids.

- The tool was used to simulate a real time power exchange market operated by MGCC either in grid connected or in islanded mode. A combined active and reactive energy markets have been successfully simulated on a MV and various LV test systems. The simulation can demonstrate trading interaction among micro sources, loads and the public grid.

- The simulation can also demonstrate the ability of the proposed decentralised control approach using a closed loop price signal to handle small and large scale disturbances inside and outside microgrids.

- The tool provides concurrently active management capability, automation and optimisation for operating Microgrids.

Related information

Reported by

University of Manchester
Sackville Street, PO Box 88
M60 1QD Manchester
United Kingdom
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