使用模糊逻辑的并网储能系统的需求侧管理simulink实现.zip

% Define input and output ranges for the Fuzzy Logic Controller inputRange = [0 1]; % Example range for battery state of charge (SoC) outputRange = [-1 1]; % Example range for demand adjustment % Create a Fuzzy Logic Controller flc = mamfis('Name','DemandSideManagement'); % Define input variable: Battery State of Charge (SoC) SoC = [0 1]; flc = addInput(flc, SoC, 'Name', 'SoC'); % Define membership functions for input variable: SoC flc = addMF(flc, 'SoC', 'trimf', [0 0.25 0.5], 'Name', 'Low'); flc = addMF(flc, 'SoC', 'trimf', [0.25 0.5 0.75], 'Name', 'Medium'); flc = addMF(flc, 'SoC', 'trimf', [0.5 0.75 1], 'Name', 'High'); % Define output variable: Demand Adjustment demandAdjustment = [-1 1]; flc = addOutput(flc, demandAdjustment, 'Name', 'DemandAdjustment'); % Define membership functions for output variable: Demand Adjustment flc = addMF(flc, 'DemandAdjustment', 'trimf', [-1 -1 -0.5], 'Name', 'ReduceHigh'); flc = addMF(flc, 'DemandAdjustment', 'trimf', [-1 -0.75 0], 'Name', 'ReduceMedium'); flc = addMF(flc, 'DemandAdjustment', 'trimf', [-0.5 0 0.5], 'Name', 'NoChange'); flc = addMF(flc, 'DemandAdjustment', 'trimf', [0 0.75 1], 'Name', 'IncreaseMedium'); flc = addMF(flc, 'DemandAdjustment', 'trimf', [0.5 1 1], 'Name', 'IncreaseHigh'); % Define Fuzzy Inference Rules ruleList = [ "If SoC is Low, then DemandAdjustment is IncreaseHigh" "If SoC is Medium, then DemandAdjustment is NoChange" "If SoC is High, then DemandAdjustment is ReduceHigh" ]; flc = addRule(flc, ruleList); % Plot the Fuzzy Logic Controller figure; plotfis(flc); % Get the battery state of charge (SoC) from the energy storage system currentSoC = getBatterySoC(); % Evaluate the Fuzzy Logic Controller demandAdjustment = evalfis([currentSoC], flc); % Apply the demand adjustment to the grid-connected loads adjustedLoad = originalLoad * (1 + demandAdjustment);