machineGroupControl/dependencies/test.js

/**
 * This file implements a pump optimization algorithm that:
 * 1. Models different pumps with efficiency characteristics
 * 2. Determines all possible pump combinations that can meet a demand flow
 * 3. Finds the optimal combination that minimizes power consumption
 * 4. Tests the algorithm with different demand levels
 */

/**
 * Pump Class
 * Represents a pump with specific operating characteristics including:
 * - Maximum flow capacity
 * - Center of Gravity (CoG) for efficiency 
 * - Efficiency curve mapping flow percentages to power consumption
 */
class Pump {
    constructor(name, maxFlow, cog, efficiencyCurve) {
        this.name = name;
        this.maxFlow = maxFlow; // Maximum flow at a given pressure
        this.CoG = cog; // Efficiency center of gravity percentage
        this.efficiencyCurve = efficiencyCurve; // Flow % -> Power usage mapping
    }

    /**
     * Returns pump flow at a given pressure
     * Currently assumes constant flow regardless of pressure
     */
    getFlow(pressure) {
        return this.maxFlow; // Assume constant flow at a given pressure
    }

    /**
     * Calculates power consumption based on flow and pressure
     * Uses the efficiency curve when available, otherwise uses linear approximation
     */
    getPowerConsumption(flow, pressure) {
        let flowPercent = flow / this.maxFlow;
        return this.efficiencyCurve[flowPercent] || (1.2 * flow); // Default linear approximation
    }
}

/**
 * Test pump definitions
 * Three pump models with different flow capacities and efficiency characteristics
 */
const pumps = [
    new Pump("Pump A", 100, 0.6, {0.6: 50, 0.8: 70, 1.0: 100}),
    new Pump("Pump B", 120, 0.7, {0.6: 55, 0.8: 75, 1.0: 110}),
    new Pump("Pump C", 90, 0.5, {0.5: 40, 0.7: 60, 1.0: 90}),
];

const pressure = 1.0; // Assume constant pressure

/**
 * Get all valid pump combinations that meet the required demand flow (Qd)
 * 
 * @param {Array} pumps - Available pump array
 * @param {Number} Qd - Required demand flow
 * @param {Number} pressure - System pressure
 * @returns {Array} Array of valid pump combinations that can meet or exceed the demand
 * 
 * This function:
 * 1. Generates all possible subsets of pumps (power set)
 * 2. Filters for non-empty subsets that can meet or exceed demand flow
 */
function getValidPumpCombinations(pumps, Qd, pressure) {
    let subsets = [[]];
    for (let pump of pumps) {
        let newSubsets = subsets.map(set => [...set, pump]);
        subsets = subsets.concat(newSubsets);
    }
    return subsets.filter(subset => subset.length > 0 && 
        subset.reduce((sum, p) => sum + p.getFlow(pressure), 0) >= Qd);
}

/**
 * Find the optimal pump combination that minimizes power consumption
 * 
 * @param {Array} pumps - Available pump array
 * @param {Number} Qd - Required demand flow
 * @param {Number} pressure - System pressure
 * @returns {Object} Object containing the best pump combination and its power consumption
 * 
 * This function:
 * 1. Gets all valid pump combinations that meet demand
 * 2. For each combination, distributes flow based on CoG proportions
 * 3. Calculates total power consumption for each distribution
 * 4. Returns the combination with minimum power consumption
 */
function optimizePumpSelection(pumps, Qd, pressure) {
    let validCombinations = getValidPumpCombinations(pumps, Qd, pressure);
    let bestCombination = null;
    let minPower = Infinity;

    validCombinations.forEach(combination => {
        let totalFlow = combination.reduce((sum, pump) => sum + pump.getFlow(pressure), 0);
        let totalCoG = combination.reduce((sum, pump) => sum + pump.CoG, 0);

        // Distribute flow based on CoG proportions
        let flowDistribution = combination.map(pump => ({
            pump,
            flow: (pump.CoG / totalCoG) * Qd
        }));

        let totalPower = flowDistribution.reduce((sum, { pump, flow }) => 
            sum + pump.getPowerConsumption(flow, pressure), 0);

        if (totalPower < minPower) {
            minPower = totalPower;
            bestCombination = flowDistribution;
        }
    });

    return { bestCombination, minPower };
}

/**
 * Test function that runs optimization for different demand levels
 * Tests from 0% to 100% of total available flow in 10% increments
 * Outputs the selected pumps, flow allocation, and power consumption for each scenario
 */
console.log("Pump Optimization Results:");
const totalAvailableFlow = pumps.reduce((sum, pump) => sum + pump.getFlow(pressure), 0);

for (let i = 0; i <= 10; i++) {
    let Qd = (i / 10) * totalAvailableFlow; // Incremental flow demand
    let { bestCombination, minPower } = optimizePumpSelection(pumps, Qd, pressure);

    console.log(`\nTotal Demand Flow: ${Qd.toFixed(2)}`);
    console.log("Selected Pumps and Allocated Flow:");
    
    bestCombination.forEach(({ pump, flow }) => {
        console.log(`  ${pump.name}: ${flow.toFixed(2)} units`);
    });

    console.log(`Total Power Consumption: ${minPower.toFixed(2)} kW`);
}