manual
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MATLAB code: Microgrid operation optimization with combined electric heating system
Key words: optimal dispatching of microgrid electric heating combined system
[Fire] Reference document: "Optimization of Microgrid Operation with Combined Electric Heating System" fully reproduced
Simulation platform: MATLAB yalmip+cplex
[Fire] Main content: A regional grid-connected micro-grid operation optimization model based on electric-heat combined dispatching is proposed. Integrate energy storage characteristics, time-of-use electricity prices, electric heating loads, and timing characteristics of distributed power sources in the integrated grid, taking a grid-connected microgrid including wind turbines, photovoltaic cells, cogeneration systems, electric boilers, fuel cells, and energy storage systems as an example , using Cplex optimization software to obtain the optimal output and total operating cost of each micro-power supply within the scheduling period, and compare it with two common electric heating scheduling methods. The simulation example shows that the joint scheduling model can realize the unified coordinated scheduling of electricity and heat and reduce the operating cost of the microgrid. This model can provide reference for energy interconnection and planning operation between electric heating.
%% Operation Optimization of Microgrid Containing Combined Electricity and Heating System_Li Zhengmao
% Abstract: In the current environment of rapid development of energy Internet and increasingly close connection between electricity and heat, a regional grid-connected microgrid operation optimization
model based on combined electricity and heat dispatching is proposed. Integrate energy storage characteristics, time-of-use electricity prices, electric heating loads and timing characteristics of distributed power sources in the integrated grid, taking grid-connected microgrids including wind turbines, photovoltaic cells, cogeneration systems, electric boilers, fuel cells and energy storage systems as
examples For example, Cplex optimization software is used to obtain the optimal output and total operating cost of each micro power supply within the scheduling period,
% and compared with two common electric heating scheduling methods. The simulation example shows that the joint scheduling model can realize the unified coordinated scheduling of electricity and heat and reduce the operating cost of the microgrid.
% This model can provide reference for energy interconnection and planning operation between electric heating.
clc;
clear;
close all;
warning off;
%% Define decision variable
% Input parameter
parameter_cplex;
Ppv_1 = sdpvar(1,24);
Pwt_1 = sdpvar(1,24);
% Electrical equipment
Pmt = sdpvar(1,24); % Gas turbine electrical power
Peb = sdpvar(1,24 ); % electric boiler electric power
Pfc = sdpvar(1,24); % fuel cell electric power
Pgrid = sdpvar(1,24); % grid power >0 buy electricity, <0 sell electricity
Eb= sdpvar(1,24); % Electric energy storage capacity
Pbch = sdpvar(1,24); % electric energy storage charging power
Pbdis = sdpvar(1,24); % electric energy storage discharging power