【水分段函数】#10 A.Power Consumption Calculation

此博客介绍了一种计算笔记本电脑在不同工作模式下总功耗的方法。通过分析用户使用习惯及设备状态转换,采用编程手段精确计算指定时间段内的总能耗。

A. Power Consumption Calculation
time limit per test
1 second
memory limit per test
256 megabytes
input
standard input
output
standard output

Tom is interested in power consumption of his favourite laptop. His laptop has three modes. In normal mode laptop consumes P1 watt per minute. T1 minutes after Tom moved the mouse or touched the keyboard for the last time, a screensaver starts and power consumption changes to P2 watt per minute. Finally, after T2 minutes from the start of the screensaver, laptop switches to the "sleep" mode and consumes P3 watt per minute. If Tom moves the mouse or touches the keyboard when the laptop is in the second or in the third mode, it switches to the first (normal) mode. Tom's work with the laptop can be divided into n time periods [l1, r1], [l2, r2], ..., [ln, rn]. During each interval Tom continuously moves the mouse and presses buttons on the keyboard. Between the periods Tom stays away from the laptop. Find out the total amount of power consumed by the laptop during the period [l1, rn].

Input

The first line contains 6 integer numbers nP1P2P3T1T2 (1 ≤ n ≤ 100, 0 ≤ P1, P2, P3 ≤ 100, 1 ≤ T1, T2 ≤ 60). The following n lines contain description of Tom's work. Each i-th of these lines contains two space-separated integers li and ri (0 ≤ li < ri ≤ 1440ri < li + 1 for i < n), which stand for the start and the end of the i-th period of work.

Output

Output the answer to the problem.

Sample test(s)
input
1 3 2 1 5 10
0 10
output
30
input
2 8 4 2 5 10
20 30
50 100
output
570


这道题叫“功耗计算”,大概意思呢是告诉你这么件事——

当你afk时,电脑的耗电大概是这么回事:


然而期间只要你动了一下电脑,立马从零开始计时。问你这个Tom在这么几个阶段里耗了多少电。

嘛~ 大概意思就是个水题啦~^_^  函数分定义域计算的问题似乎是初中……还是小学来着的……那个什么出租车开车算路费的问题吧~


Python:

# input
list = raw_input().split()
n,p1,p2,t1,t2,t3 = map(int , list)

# solve
ans = 0
pre = -1

while n > 0:
    n -= 1
    list = raw_input().split()
    start,end = map(int , list)
    ans += (end-start)*p1
    
    if pre != -1:
       x = start-pre
       if x > t1:
          ans += t1*p1
          x -= t1
          if x > t2:
             ans += t2*p2
             x -= t2
             ans += x*p3
          else:
             ans += x*p2
       else:
          ans += x*p1 
    pre = end

print ans




C++:

#include <iostream>
#include <cstdio>
#include <algorithm>
using namespace std;


int main()
{
    int n,p1,p2,p3,t1,t2 ;
    int l,r,l2,r2;
	scanf("%d%d%d%d%d%d",&n,&p1,&p2,&p3,&t1,&t2);
	scanf("%d%d", &l, &r);
	int sum = (r - l) * p1;
	while(--n)
	{
		scanf("%d%d",&l2,&r2);
        int mid = l2 - r ;
	    int p1pow = t1 * p1, p2pow = t2 * p2;
	    if (mid <= t1)
			sum += mid * p1;
	    else
	    {
		 sum += p1pow;
		 mid -= t1;
		 if (mid <= t2)
			sum += mid * p2;
		 else
			sum += p2pow + (mid - t2) * p3;
        }
	    sum += (r2 - l2) * p1;
	    l = l2;
	    r = r2;
	}
	 printf("%d",sum);	
	 return 0;
}




Unable to represent &#39;温度输入必须是11或21个值&#39;&#39; with 8-bit characters using the encoding supported by your locale. Code generation supports only characters that can be represented in 8 bits. Function &#39;输出/MATLAB Function&#39; (#2516.721.737), line 21, column 11: "&#39;温度输入必须是11或21个值&#39;" Launch diagnostic report. Component:MATLAB Function | Category:Coder error Unable to represent &#39;氢瓶数量与温度数量不匹配&#39;&#39; with 8-bit characters using the encoding supported by your locale. Code generation supports only characters that can be represented in 8 bits. Function &#39;输出/MATLAB Function&#39; (#2516.802.816), line 26, column 11: "&#39;氢瓶数量与温度数量不匹配&#39;" Launch diagnostic report. Component:MATLAB Function | Category:Coder error Unable to represent &#39;压力异常: %.2f MPa (超出0-70MPa范围)&#39;&#39; with 8-bit characters using the encoding supported by your locale. Code generation supports only characters that can be represented in 8 bits. Function &#39;输出/MATLAB Function&#39; (#2516.897.927), line 31, column 11: "&#39;压力异常: %.2f MPa (超出0-70MPa范围)&#39;" Launch diagnostic report. Component:MATLAB Function | Category:Coder error Unable to represent &#39;发现%d个异常温度值,已替换为中位数&#39;&#39; with 8-bit characters using the encoding supported by your locale. Code generation supports only characters that can be represented in 8 bits. Function &#39;输出/MATLAB Function&#39; (#2516.1063.1083), line 37, column 13: "&#39;发现%d个异常温度值,已替换为中位数&#39;" Launch diagnostic report. Component:MATLAB Function | Category:Coder error Unable to represent &#39;所有温度值均异常,无法计算&#39;&#39; with 8-bit characters using the encoding supported by your locale. Code generation supports only characters that can be represented in 8 bits. Function &#39;输出/MATLAB Function&#39; (#2516.1188.1203), line 40, column 15: "&#39;所有温度值均异常,无法计算&#39;" Launch diagnostic report. Component:MATLAB Function | Category:Coder error Errors occurred during parsing of MATLAB function &#39;CT/输出/MATLAB Function&#39; Component:MATLAB Function | Category:Coder error Simulink cannot determine sizes and/or types of the outputs for block &#39;CT/输出/MATLAB Function&#39; due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs. Component:MATLAB Function | Category:Coder error Simulink cannot determine sizes and/or types of the outputs for block &#39;CT/输出/MATLAB Function&#39; due to errors in the block body, or limitations of the underlying analysis. The errors might be inaccurate. Fix the indicated errors, or explicitly specify sizes and/or types for all block outputs.
最新发布
12-02
请检查以下代码,并协助修改:clc clear %% 加载数据 P_wt_e = [693,718,883,698,888,683,723,695,678,721,568,583,614,693,678,703,692,693,808,994,869,813,873,808]; P_pv_e = [0,0,0,0,0,0,1650,2450,3250,3350,3400,3750,3450,3250,3200,2400,2100,1300,0,0,0,0,0,0]; P_Load_e = [2800,2700,3000,3800,4600,4600,5200,5400,5800,6300,7400,8700,9700,10000,10100,10300,9000,7000,6700,5900,4500,3000,2700,2800]; P_Load_h = [2350,2800,2850,3400,3800,4000,4700,4350,5100,7500,7600,8450,8700,8050,7700,7450,7200,6650,7300,5700,5100,4450,3600,3080]; P_Load_c = [1300,1400,1360,1700,1600,2000,3100,3450,3900,4400,4300,4500,5400,5000,5100,4950,4600,4710,4400,4000,3650,3570,2900,2420]; %% 参数设置 % 燃气轮机2台 P_GT_max = [1200,2800]; % 燃气发电机最大电功率 P_GT_min = [300,300]; % 燃气发电机最小电功率 % 燃气轮机效率参数 a = 8.935; b = 33.157; c = -27.081; d = 17.989; % 余热回收锅炉1台 Q_HR_nom = 3500; % 余热回收系统的额定功率 eta_hr = 0.68; % 热回收效率 % 吸收式制冷机1台 L_AC_nom = 1900; % 吸收式制冷机的额定功率 eta_ac = 0.82; % 吸收制冷能效比 % 燃气锅炉1台 Q_GB_nom = 5500; % 额定热功率 (kW) eta_gb = 0.85; % 燃气锅炉效率(添加缺失的效率参数) % 电制冷机1台 L_EC_nom = 2300; % 额定冷功率 (kW) eta_ec = 3.2; % 制冷能效比 %% ===== 添加储能系统参数 ===== % 电储能系统 E_bat_capacity = 5000; % 电池容量 (kWh) E_bat_max_charge = 800; % 最大充电功率 (kW) E_bat_max_discharge = 800; % 最大放电功率 (kW) E_bat_eff = 0.92; % 充放电效率 E_bat_SOC_min = 0.2; % 最小荷电状态 E_bat_SOC_max = 0.95; % 最大荷电状态 E_bat_SOC_init = 0.5; % 初始荷电状态 % 热储能系统 H_tank_capacity = 4000; % 储热容量 (kWh) H_tank_max_charge = 600; % 最大储热功率 (kW) H_tank_max_discharge = 600;% 最大放热功率 (kW) H_tank_eff = 0.95; % 储放热效率 H_tank_SOC_min = 0.1; % 最小荷热状态 H_tank_SOC_max = 0.98; % 最大荷热状态 H_tank_SOC_init = 0.4; % 初始荷热状态 % 冷储能系统 C_tank_capacity = 3000; % 储冷容量 (kWh) C_tank_max_charge = 500; % 最大储冷功率 (kW) C_tank_max_discharge = 500;% 最大放冷功率 (kW) C_tank_eff = 0.90; % 储放冷效率 C_tank_SOC_min = 0.15; % 最小荷冷状态 C_tank_SOC_max = 0.96; % 最大荷冷状态 C_tank_SOC_init = 0.3; % 初始荷冷状态 %% 粒子群算法参数 w = 0.7; % 惯性权重 c1 = 1.8; % 个体学习因子 c2 = 1.8; % 社会学习因子 Num = 100; % 粒子个数 Tmax = 500; % 最大迭代次数 % 决策变量设置 Dim = 6; % 每小时的决策变量数 total_vars = 24 * Dim; % 总决策变量数 X = zeros(Num, total_vars); % 位置矩阵 V = zeros(Num, total_vars); % 速度矩阵 % 速度约束参数 Vmax = 0.3 * [repmat([P_GT_max, Q_HR_nom, L_AC_nom, Q_GB_nom, L_EC_nom], 1, 24)]; %% 粒子初始化 for i = 1:Num for t = 1:24 idx = (t-1)*Dim; % 当前时刻索引偏移 % 燃气轮机初始化 for k = 1:2 X(i, idx+k) = unifrnd(P_GT_min(k), P_GT_max(k)); V(i, idx+k) = unifrnd(-P_GT_max(k), P_GT_max(k)); end % 余热回收锅炉初始化 X(i, idx+3) = unifrnd(0, Q_HR_nom); V(i, idx+3) = unifrnd(-Q_HR_nom, Q_HR_nom); % 吸收式制冷机初始化 X(i, idx+4) = unifrnd(0, L_AC_nom); V(i, idx+4) = unifrnd(-L_AC_nom, L_AC_nom); % 燃气锅炉初始化 X(i, idx+5) = unifrnd(0, Q_GB_nom); V(i, idx+5) = unifrnd(-Q_GB_nom, Q_GB_nom); % 电制冷机初始化 X(i, idx+6) = unifrnd(0, L_EC_nom); V(i, idx+6) = unifrnd(-L_EC_nom, L_EC_nom); end % 修复能量平衡 [X(i,:)] = repair_solution(X(i,:), P_wt_e, P_pv_e, P_Load_e, P_Load_h, P_Load_c, ... P_GT_min, P_GT_max, a, b, c, d, Q_HR_nom, eta_hr, L_AC_nom, eta_ac, Q_GB_nom, eta_gb, L_EC_nom, eta_ec, ... E_bat_capacity, E_bat_max_charge, E_bat_max_discharge, E_bat_eff, E_bat_SOC_min, E_bat_SOC_max, E_bat_SOC_init, ... H_tank_capacity, H_tank_max_charge, H_tank_max_discharge, H_tank_eff, H_tank_SOC_min, H_tank_SOC_max, H_tank_SOC_init, ... C_tank_capacity, C_tank_max_charge, C_tank_max_discharge, C_tank_eff, C_tank_SOC_min, C_tank_SOC_max, C_tank_SOC_init); end %% 初始化全局最优 pg = X(1,:); fitness_values = zeros(1, Num); for i = 1:Num fitness_values(i) = fitness(X(i,:)); % 适应度评估 if fitness_values(i) < fitness(pg) pg = X(i,:); end end pbest = fitness_values; % 个体最优适应度值 pbest_pos = X; % 个体最优位置 %% 主优化循环 Gbest = zeros(1, Tmax); for K = 1:Tmax if ~mod(K, 10) fprintf(&#39;>>>迭代次数: %d, 最优适应度: %f\n&#39;, K, fitness(pg)); end for i = 1:Num % 速度更新 r1 = rand; r2 = rand; V(i, :) = w*V(i, :) + c1*r1*(pbest_pos(i, :) - X(i, :)) + c2*r2*(pg - X(i, :)); % 速度约束 V(i,:) = sign(V(i,:)) .* min(abs(V(i,:)), Vmax); % 位置更新 X(i, :) = X(i, :) + V(i, :); % 位置边界约束 for t = 1:24 idx = (t-1)*Dim; % 燃气轮机边界 (2台) for k = 1:2 pos = idx + k; X(i, pos) = min(max(X(i, pos), P_GT_min(k)), P_GT_max(k)); end % 余热回收锅炉边界 X(i, idx+3) = min(max(X(i, idx+3), 0), Q_HR_nom); % 吸收式制冷机边界 X(i, idx+4) = min(max(X(i, idx+4), 0), L_AC_nom); % 燃气锅炉边界 X(i, idx+5) = min(max(X(i, idx+5), 0), Q_GB_nom); % 电制冷机边界 X(i, idx+6) = min(max(X(i, idx+6), 0), L_EC_nom); end % 修复能量平衡 [X(i,:)] = repair_solution(X(i,:), P_wt_e, P_pv_e, P_Load_e, P_Load_h, P_Load_c, ... P_GT_min, P_GT_max, a, b, c, d, Q_HR_nom, eta_hr, L_AC_nom, eta_ac, Q_GB_nom, eta_gb, L_EC_nom, eta_ec, ... E_bat_capacity, E_bat_max_charge, E_bat_max_discharge, E_bat_eff, E_bat_SOC_min, E_bat_SOC_max, E_bat_SOC_init, ... H_tank_capacity, H_tank_max_charge, H_tank_max_discharge, H_tank_eff, H_tank_SOC_min, H_tank_SOC_max, H_tank_SOC_init, ... C_tank_capacity, C_tank_max_charge, C_tank_max_discharge, C_tank_eff, C_tank_SOC_min, C_tank_SOC_max, C_tank_SOC_init); % 适应度评估与更新 current_fit = fitness(X(i,:)); if current_fit < pbest(i) pbest(i) = current_fit; pbest_pos(i,:) = X(i,:); end if current_fit < fitness(pg) pg = X(i,:); end end Gbest(K) = fitness(pg); endfunction result = fitness(X) %% 参数设置 % 燃气轮机2台 P_GT_max = [1200,2800]; % 燃气发电机最大电功率 P_GT_min = [300,300]; % 燃气发电机最小电功率 % 燃气轮机效率参数 a = 8.935; b = 33.157; c = -27.081; d = 17.989; % 余热回收锅炉1台 Q_HR_nom = 3500; % 余热回收系统的额定功率 eta_hr = 0.68; % 热回收效率 % 吸收式制冷机1台 L_AC_nom = 1900; % 吸收式制冷机的额定功率 eta_ac = 0.82; % 吸收制冷能效比 % 燃气锅炉1台 Q_GB_nom = 5500; % 额定热功率 (kW) eta_gb = 0.85; % 燃气锅炉效率(添加缺失的效率参数) % 电制冷机1台 L_EC_nom = 2300; % 额定冷功率 (kW) eta_ec = 3.2; % 制冷能效比 % 参数声明 (保持原有参数不变) a = 8.935; b = 33.157; c = -27.081; d = 17.989; P_GT_nom = [1200, 2800]; eta_ec = 3.2; eta_gb = 0.85; eta_hr = 0.68; eta_ac = 0.82; eta_R = 0.034; uf = 5.421; carbon_coeff = 0.004125; penalty_coeff = 1e6; % 修正1:添加设备折旧成本参数 gt_start_cost = 200; % 燃气轮机启停成本 (元/次) gb_start_cost = 50; % 锅炉启停成本 (元/次) maint_gt = 0.02; % 燃气轮机维护成本 (元/kWh) maint_gb = 0.01; % 锅炉维护成本 (元/kWh) maint_ec = 0.005; % 电制冷机维护成本 (元/kWh) maint_ac = 0.003; % 吸收制冷机维护成本 (元/kWh) % 电价参数 (保持不变) r_Elc = [0.182,0.182,0.182,0.182,0.182,0.182,0.518,0.518,0.882,0.882,... 0.882,0.882,0.518,0.518,0.70,0.70,0.70,0.70,0.70,0.406,0.406,0.406,0.14,0.14]; R_Elc = [0.14,0.14,0.14,0.14,0.14,0.14,0.406,0.406,0.70,0.70,... 0.70,0.70,0.406,0.406,0.70,0.70,0.70,0.70,0.70,0.406,0.406,0.406,0.14,0.14]; % 负荷数据 (保持不变) P_wt_e = [693,718,883,698,888,683,723,695,678,721,568,583,614,693,678,703,692,693,808,994,869,813,873,808]; P_pv_e = [0,0,0,0,0,0,1650,2450,3250,3350,3400,3750,3450,3250,3200,2400,2100,1300,0,0,0,0,0,0]; P_Load_e = [2800,2700,3000,3800,4600,4600,5200,5400,5800,6300,7400,8700,9700,10000,10100,10300,9000,7000,6700,5900,4500,3000,2700,2800]; P_Load_h = [2350,2800,2850,3400,3800,4000,4700,4350,5100,7500,7600,8450,8700,8050,7700,7450,7200,6650,7300,5700,5100,4450,3600,3080]; P_Load_c = [1300,1400,1360,1700,1600,2000,3100,3450,3900,4400,4300,4500,5400,5000,5100,4950,4600,4710,4400,4000,3650,3570,2900,2420]; % 初始化变量 Dim = 6; num_hours = 24; total_FE = 0; ele_cost = 0; gas_cost = 0; total_penalty = 0; maint_cost = 0; % 修正2:添加设备启停状态跟踪 prev_gt1 = 0; prev_gt2 = 0; prev_gb = 0; for t = 1:num_hours idx = (t-1)*Dim; P_GT1_e = X(idx+1); P_GT2_e = X(idx+2); Q_HR_h = X(idx+3); L_AC_c = X(idx+4); Q_GB_h = X(idx+5); L_EC_c = X(idx+6); % === 设备启停状态检测 === gt1_on = (P_GT1_e > 0); gt2_on = (P_GT2_e > 0); gb_on = (Q_GB_h > 0); % 启停成本计算 if gt1_on && ~prev_gt1, maint_cost = maint_cost + gt_start_cost; end if gt2_on && ~prev_gt2, maint_cost = maint_cost + gt_start_cost; end if gb_on && ~prev_gb, maint_cost = maint_cost + gb_start_cost; end prev_gt1 = gt1_on; prev_gt2 = gt2_on; prev_gb = gb_on; % === 效率计算 === ratio1 = P_GT1_e / P_GT_nom(1); ratio2 = P_GT2_e / P_GT_nom(2); eta_gt1 = max((a + b*ratio1 + c*ratio1^2 + d*ratio1^3)/100, 0.01); eta_gt2 = max((a + b*ratio2 + c*ratio2^2 + d*ratio2^3)/100, 0.01); % === 燃料消耗 === F_GT1 = eta_R * P_GT1_e / eta_gt1; F_GT2 = eta_R * P_GT2_e / eta_gt2; F_GB = eta_R * Q_GB_h / eta_gb; FE_hourly = F_GT1 + F_GT2 + F_GB; total_FE = total_FE + FE_hourly; % === 能量平衡计算 === power_generation = P_GT1_e + P_GT2_e + P_wt_e(t) + P_pv_e(t); power_consumption = P_Load_e(t) + L_EC_c / eta_ec; grid_power = power_consumption - power_generation; % 修正3:正确的购电成本计算 if grid_power > 0 % 购电 ele_cost = ele_cost + grid_power * r_Elc(t); else % 售电 ele_cost = ele_cost + grid_power * R_Elc(t); % 负成本=收益 end % === 余热回收约束 === GT_input = P_GT1_e/eta_gt1 + P_GT2_e/eta_gt2; waste_heat_avail = (GT_input - (P_GT1_e + P_GT2_e)) * eta_hr; % 修正4:更精确的余热回收惩罚 hr_violation = max(0, Q_HR_h - waste_heat_avail); hr_eff_penalty = max(0, Q_HR_h - Q_HR_nom); % 设备容量约束 % === 热平衡 === H_supply = Q_HR_h + Q_GB_h; H_demand = P_Load_h(t) + L_AC_c / eta_ac; heat_imbal = H_supply - H_demand; % === 冷平衡 === C_supply = L_AC_c + L_EC_c; cold_imbal = C_supply - P_Load_c(t); % 修正5:方向性惩罚项 imbalance_penalty = 0; % 电力惩罚:不足为正,过剩为负(但已通过购售电处理) % 热力惩罚 if heat_imbal < 0 % 热力不足 imbalance_penalty = imbalance_penalty + abs(heat_imbal)*5; % 重度惩罚 elseif heat_imbal > 0 % 热力过剩 imbalance_penalty = imbalance_penalty + heat_imbal*0.5; % 轻度惩罚 end % 冷力惩罚 if cold_imbal < 0 % 冷力不足 imbalance_penalty = imbalance_penalty + abs(cold_imbal)*5; elseif cold_imbal > 0 % 冷力过剩 imbalance_penalty = imbalance_penalty + cold_imbal*0.5; end % 累计惩罚 total_penalty = total_penalty + penalty_coeff * ... (imbalance_penalty + hr_violation + hr_eff_penalty); % === 设备维护成本 === maint_cost = maint_cost + ... P_GT1_e*maint_gt + P_GT2_e*maint_gt + ... Q_GB_h*maint_gb + ... L_EC_c*maint_ec + L_AC_c*maint_ac; end % === 燃气成本 (分段计价) === if total_FE < 250 gas_unit_price = 5.257; elseif total_FE <= 4167 gas_unit_price = 3.25; else gas_unit_price = 2.814; end gas_cost = total_FE * gas_unit_price; % === 碳排放成本 === carbon_cost = carbon_coeff * uf * total_FE; % === 总成本计算 === result = ele_cost + gas_cost + carbon_cost + maint_cost + total_penalty; % === 调试输出 === fprintf(&#39;成本明细: 电力=%.2f元, 燃气=%.2f元, 碳=%.2f元, 维护=%.2f元, 惩罚=%.2f元\n&#39;,... ele_cost, gas_cost, carbon_cost, maint_cost, total_penalty); endfunction [x_repaired] = repair_solution(x, P_wt_e, P_pv_e, P_Load_e, P_Load_h, P_Load_c, ... P_GT_min, P_GT_max, a, b, c, d, Q_HR_nom, eta_hr, L_AC_nom, eta_ac, Q_GB_nom, eta_gb, L_EC_nom, eta_ec, ... E_bat_capacity, E_bat_max_charge, E_bat_max_discharge, E_bat_eff, E_bat_SOC_min, E_bat_SOC_max, E_bat_SOC_init, ... H_tank_capacity, H_tank_max_charge, H_tank_max_discharge, H_tank_eff, H_tank_SOC_min, H_tank_SOC_max, H_tank_SOC_init, ... C_tank_capacity, C_tank_max_charge, C_tank_max_discharge, C_tank_eff, C_tank_SOC_min, C_tank_SOC_max, C_tank_SOC_init) Dim = 6; x_repaired = x; num_hours = 24; % ===== 修正1:SOC数组扩容 ===== bat_soc = zeros(1, num_hours+1); % 多一个元素存储结束状态 heat_soc = zeros(1, num_hours+1); cold_soc = zeros(1, num_hours+1); % 设置初始SOC bat_soc(1) = E_bat_SOC_init; heat_soc(1) = H_tank_SOC_init; cold_soc(1) = C_tank_SOC_init; for t = 1:num_hours idx = (t-1)*Dim; P_gt1 = x_repaired(idx+1); P_gt2 = x_repaired(idx+2); Q_hr = x_repaired(idx+3); L_ac = x_repaired(idx+4); Q_gb = x_repaired(idx+5); L_ec = x_repaired(idx+6); % ===== 1. 设备边界约束 ===== P_gt1 = max(P_GT_min(1), min(P_gt1, P_GT_max(1))); P_gt2 = max(P_GT_min(2), min(P_gt2, P_GT_max(2))); x_repaired(idx+1:idx+2) = [P_gt1, P_gt2]; P_gt_total = P_gt1 + P_gt2; % 余热回收约束 ratio1 = P_gt1 / P_GT_max(1); ratio2 = P_gt2 / P_GT_max(2); eta_gt1 = max((a + b*ratio1 + c*ratio1^2 + d*ratio1^3)/100, 0.01); eta_gt2 = max((a + b*ratio2 + c*ratio2^2 + d*ratio2^3)/100, 0.01); waste_heat_avail = ((P_gt1/eta_gt1 - P_gt1) + (P_gt2/eta_gt2 - P_gt2)) * eta_hr; Q_hr = min(Q_hr, waste_heat_avail); x_repaired(idx+3) = min(max(Q_hr, 0), Q_HR_nom); % ===== 2. 能量平衡计算 ===== P_e_supply = P_gt1 + P_gt2 + P_wt_e(t) + P_pv_e(t); P_e_demand = P_Load_e(t) + L_ec/eta_ec; e_imbalance = P_e_supply - P_e_demand; H_supply = Q_hr + Q_gb; H_demand = P_Load_h(t) + L_ac/eta_ac; h_imbalance = H_supply - H_demand; C_supply = L_ac + L_ec; C_demand = P_Load_c(t); c_imbalance = C_supply - C_demand; % ===== 3. 储能平衡处理 ===== % 电储能 if e_imbalance > 0 % 充电 max_charge = min([... e_imbalance, ... E_bat_max_charge, ... (E_bat_SOC_max - bat_soc(t)) * E_bat_capacity / E_bat_eff ... ]); bat_soc(t+1) = bat_soc(t) + max_charge * E_bat_eff / E_bat_capacity; e_imbalance = e_imbalance - max_charge; % 更新不平衡量 elseif e_imbalance < 0 % 放电 % ===== 修正2:放电效率模型 ===== max_discharge = min([... -e_imbalance, ... E_bat_max_discharge, ... (bat_soc(t) - E_bat_SOC_min) * E_bat_capacity * E_bat_eff ... ]); bat_soc(t+1) = bat_soc(t) - max_discharge / (E_bat_eff * E_bat_capacity); e_imbalance = e_imbalance + max_discharge; % 更新不平衡量 else bat_soc(t+1) = bat_soc(t); end % 热储能 if h_imbalance > 0 % 储热 max_charge_heat = min([... h_imbalance, ... H_tank_max_charge, ... (H_tank_SOC_max - heat_soc(t)) * H_tank_capacity / H_tank_eff ... ]); heat_soc(t+1) = heat_soc(t) + max_charge_heat * H_tank_eff / H_tank_capacity; h_imbalance = h_imbalance - max_charge_heat; elseif h_imbalance < 0 % 放热 max_discharge_heat = min([... -h_imbalance, ... H_tank_max_discharge, ... (heat_soc(t) - H_tank_SOC_min) * H_tank_capacity * H_tank_eff ... ]); heat_soc(t+1) = heat_soc(t) - max_discharge_heat / (H_tank_eff * H_tank_capacity); h_imbalance = h_imbalance + max_discharge_heat; else heat_soc(t+1) = heat_soc(t); end % 冷储能 if c_imbalance > 0 % 储冷 max_charge_cold = min([... c_imbalance, ... C_tank_max_charge, ... (C_tank_SOC_max - cold_soc(t)) * C_tank_capacity / C_tank_eff ... ]); cold_soc(t+1) = cold_soc(t) + max_charge_cold * C_tank_eff / C_tank_capacity; c_imbalance = c_imbalance - max_charge_cold; elseif c_imbalance < 0 % 放冷 max_discharge_cold = min([... -c_imbalance, ... C_tank_max_discharge, ... (cold_soc(t) - C_tank_SOC_min) * C_tank_capacity * C_tank_eff ... ]); cold_soc(t+1) = cold_soc(t) - max_discharge_cold / (C_tank_eff * C_tank_capacity); c_imbalance = c_imbalance + max_discharge_cold; else cold_soc(t+1) = cold_soc(t); end % ===== 修正3:SOC边界保护 ===== bat_soc(t+1) = min(max(bat_soc(t+1), E_bat_SOC_min), E_bat_SOC_max); heat_soc(t+1) = min(max(heat_soc(t+1), H_tank_SOC_min), H_tank_SOC_max); cold_soc(t+1) = min(max(cold_soc(t+1), C_tank_SOC_min), C_tank_SOC_max); % ===== 4. 二次调节剩余不平衡 ===== % ===== 修正4:设备调整策略 ===== % 电力不平衡调整(调节电制冷) if abs(e_imbalance) > 1e-3 if e_imbalance > 0 % 电力过剩 % 增加电制冷 L_ec_new = min(L_ec + e_imbalance * eta_ec, L_EC_nom); delta = (L_ec_new - L_ec) / eta_ec; L_ec = L_ec_new; e_imbalance = e_imbalance - delta; else % 电力不足 % 减少电制冷 L_ec_new = max(L_ec + e_imbalance * eta_ec, 0); delta = (L_ec - L_ec_new) / eta_ec; L_ec = L_ec_new; e_imbalance = e_imbalance + delta; end x_repaired(idx+6) = L_ec; end % 热力不平衡调整(调节燃气锅炉) if abs(h_imbalance) > 1e-3 Q_gb = Q_gb - h_imbalance; Q_gb = min(max(Q_gb, 0), Q_GB_nom); x_repaired(idx+5) = Q_gb; % 注意:此处简化处理,实际需考虑调整后的热平衡 end % 冷量不平衡调整(吸收制冷优先) cold_deficit = max(0, -c_imbalance); % 取正值表示不足量 if cold_deficit > 0 % 优先增加吸收式制冷 max_ac_increase = min(cold_deficit, L_AC_nom - L_ac); L_ac = L_ac + max_ac_increase; cold_deficit = cold_deficit - max_ac_increase; % 其次增加电制冷 if cold_deficit > 0 max_ec_increase = min(cold_deficit, L_EC_nom - L_ec); L_ec = L_ec + max_ec_increase; end elseif c_imbalance > 0 % 冷量过剩 % 减少吸收式制冷 L_ac = max(L_ac - c_imbalance, 0); end % 更新决策变量 x_repaired(idx+4) = min(max(L_ac, 0), L_AC_nom); x_repaired(idx+6) = min(max(L_ec, 0), L_EC_nom); end end
10-12
评论
成就一亿技术人!
拼手气红包6.0元
还能输入1000个字符
 
红包 添加红包
表情包 插入表情
 条评论被折叠 查看
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包

打赏作者

糖果天王

你的鼓励将是我创作的最大动力

¥1 ¥2 ¥4 ¥6 ¥10 ¥20
扫码支付:¥1
获取中
扫码支付

您的余额不足,请更换扫码支付或充值

打赏作者

实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值