Auxiliary materials of MGs in paper ''Three-stage Stochastic Unit Commitment for Microgrids Towards Frequency Security via Renewable Energy Deloading''

Citation Author(s):
Xiao
Qi
Submitted by:
Xiao Qi
Last updated:
Tue, 06/25/2024 - 19:47
DOI:
10.21227/za2k-9h02
License:
148 Views
Categories:
Keywords:
0
0 ratings - Please login to submit your rating.

Abstract 

Renewable energy is boosting the deployment of microgrids (MGs) with stochastic and low inertia nature. To improve the operational efficiency of MGs while guaranteeing frequency security, a three-stage stochastic unit commitment problem is proposed, where renewable energy can be deloaded. In the first stage, the diesel generators (DGs) are scheduled, responding to uncertainties of loads and photovoltaic generator output. In the second stage, the outputs of DGs are optimized to reduce the operational cost under uncertain disturbances. In the third stage, a novel PV deloading strategy is proposed to test the frequency security of MGs. The three-stage optimization problem is formulated as a multi-stage stochastic optimization problem with recourse. This problem is then solved using a novel nested Benders decomposition algorithm with both dual cuts and partial primal cuts. Simulations are performed on an AC MG under different PV penetration levels and disturbances. The results verify the effectiveness of the proposed model in balancing operational efficiency, renewable energy utilization, and frequency security.

The data is about the parameters and some equations related to the MGs in paper ''Three-stage Stochastic Unit Commitment for Microgrids Towards Frequency Security via Renewable Energy Deloading''.

The ODE model of the power system can be found in the code file, which is a simplified test solution in Yalmip.

Instructions: 

All of the parameters used in this paper are given in file ''data.pdf''. And the ODE model of the power system can be found in file ''test_code.txt'', which is a simplified test solution in Yalmip.

Comments

Edit in Feb. 15, 2023.

Submitted by Xiao Qi on Wed, 02/15/2023 - 03:35

Dataset Files

    Files have not been uploaded for this dataset

    Documentation

    AttachmentSize
    File data and equations.pdf227.41 KB
    File test_code.txt5.45 KB