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main.py
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# -*- coding: utf-8 -*-
"""
Created on Sat Dec 14 23:50:28 2019
@author: Aryan
"""
import numpy as np
import sys
import pandas as pd
prices =[0.047,0.044,0.042,0.042,0.043,0.045,0.053,0.065,0.081,0.080,0.070,0.060,0.053,0.052,0.054,0.059,0.067,0.093,0.091,0.083,0.060,0.054,0.053,0.050]
#[0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.120,0.120,0.06,0.06,0.06,0.06]
#[0.045,0.045,0.045,0.045,0.045,0.045,0.045,0.045,0.06,0.06,0.06,0.045,0.045,0.045,0.045,0.045,0.045,0.045,0.09,0.09,0.045,0.045,0.045,0.045]
#[0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06]
'''[1.5,1.4,1.4,1.4,1.4,1.5,1.9,2.1,1.5,1.6,1.5,1.5,1.7,1.9,2.0,1.9,2.0,2.4,2.4,3.4,2.3,2.4,2.2,2.1]
[1.6,1.5,1.5,1.5,1.5,1.6,2.3,2.9,2.5,2.3,2,1.9,1.9,1.8,1.9,1.8,1.9,2.3,2.2,2.1,2,2,1.8,1.7]
[2.5,2.2,1.6,2.3,2.7,2.7,2.8,2.3,3.8,4.2,4.7,6.3,5.1,4.8,5.3,4.4,4.4,3.7,3.5,3.5,3.4,3.2,2.9,2.7]
'''
r = []
# for 30 min
'''for i in range(24):
q = prices[i]
for j in range(2):
r.append(q)
prices=r '''
# for 10 min
'''for i in range(24):
q = prices[i]
for j in range(6):
r.append(q)
prices = r '''
# for 5 min
for i in range(24):
q = prices[i]
for j in range(12):
r.append(q)
prices=r
average_price = np.average(prices)
class device(object):
def __init__(self,power,start,end,execution,name,d_type,phases=-1,state=0,priority = sys.maxsize ):
#for per hour
#self.power = power
#for 30 min
#self.power = power/2
#for 10 min
#self.power = power/6
#for 5 min
self.power = power/12
self.start = start*60
self.end = end*60
self.execution = execution*60
self.name = name
self.priority = priority
self.d_type = d_type
self.phases = phases
self.state = state
def ready(self,start,end):
if self.start <= start and self.end >= end :
return True
else :
return False
def run(self):
self.execution= self.execution - 5
#self.execution= self.execution - 10 #10 min
#self.execution= self.execution - 30 #half hour
#self.execution = self.execution - 60#per hour
def schedule(devices):
for d in devices:
#least laxity
d.priority = d.end - d.execution
#early deadline
#d.priority = d.end
devices = sorted(devices,key = lambda z : z.priority)
return devices
taskfile = open('tasks.txt')
lines = taskfile.readlines()
devices = []
renewable = 6
battery = 0
battery_max = 12
power = 0
cost = 0
while lines:
line = lines[0].split(' ')
if len(line) == 7 :
temp = []
temp.append(device(power = float(line[0]),start=float(line[1]),end=float(line[2]) , execution=float(line[3]),name=line[4],d_type=line[5],phases=0))
lines.pop(0)
t=[]
for i in range(int(line[6])):
z=lines[0].split(' ')
t.append(device(power=float(z[0]),start=float(z[1]),end=float(z[2]),execution=float(z[3]),name=z[4],d_type=z[5]))
lines.pop(0)
temp.append(t)
devices.append(temp)
else :
devices.append(device(power = float(line[0]),start=float(line[1]),end=float(line[2]),execution=float(line[3]),name=line[4],d_type=line[5]))
lines.pop(0)
per_hour = []
k=-1
for i in range(0,1440,5):#change step
ready_devices = []
k=k+1
if prices[k] <= average_price:
for d in devices:
if type(d) is list :
curr_phase = d[0].phases
if curr_phase < len(d[1])-1 and d[1][curr_phase].execution <= 0:
d[0].phases = d[0].phases + 1
curr_phase = curr_phase + 1
if d[1][curr_phase].execution > 0:
if d[1][curr_phase].state == 1:
ready_devices.append(d[1][curr_phase])
d[1][curr_phase].run()
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d[1][curr_phase].ready(i,i+5):#change step
d[1][curr_phase].state = 1
ready_devices.append(d[1][curr_phase])
d[1][curr_phase].run()
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d.ready(i,i+5) and d.execution > 0:#change step as per requirement
ready_devices.append(d)
d.run()
power = power + d.power
cost = cost + d.power*prices[k]
else :
if renewable <= 0 and battery > 0:
for d in devices:
if type(d) is list :
curr_phase = d[0].phases
if curr_phase < len(d[1])-1 and d[1][curr_phase].execution <= 0:
d[0].phases = d[0].phases + 1
curr_phase = curr_phase + 1
if d[1][curr_phase].execution > 0:
if d[1][curr_phase].state == 1:
ready_devices.append(d[1][curr_phase])
d[1][curr_phase].run()
if d[1][curr_phase].power <= battery:
battery = battery - d[1][curr_phase].power
else:
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d[1][curr_phase].ready(i,i+5) and d[1][curr_phase].power <= battery: #change step
d[1][curr_phase].state = 1
ready_devices.append(d[1][curr_phase])
d[1][curr_phase].run()
battery = battery - d[1][curr_phase].power
else:
if d.ready(i,i+5) and d.execution > 0 and d.power <= battery:#change step acc to requirement
ready_devices.append(d)
d.run()
battery = battery - d.power
else:
x = []
for d in devices:
if type(d) is list :
curr_phase = d[0].phases
if curr_phase < len(d[1])-1 and d[1][curr_phase].execution <= 0:
d[0].phases = d[0].phases + 1
curr_phase = curr_phase + 1
if d[1][curr_phase].execution > 0:
if d[1][curr_phase].state == 1:
ready_devices.append(d[1][curr_phase])
d[1][curr_phase].run()
if d[1][curr_phase].power <= renewable:
renewable = renewable - d[1][curr_phase].power
else:
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d[1][curr_phase].ready(i,i+5) and d[1][curr_phase].power <= renewable:#change step
x.append(d[1][curr_phase])
else:
if d.ready(i,i+5) and d.power < renewable and d.execution > 0:#change step
x.append(d)
x = schedule(x)
for d in x:
if d.power <= renewable :
d.state=1
ready_devices.append(d)
d.run()
renewable = renewable - d.power
if renewable > 0 and battery <= battery_max :
if battery + renewable <= battery_max:
battery = battery + renewable
per_hour.append(ready_devices)
k=-1
for i in range(0,1440,5):#change step
k=k+1
for d in devices:
if type(d) is list :
curr_phase = d[0].phases
if curr_phase < len(d[1])-1 and d[1][curr_phase].execution <= 0:
d[0].phases = d[0].phases + 1
curr_phase = curr_phase + 1
if d[1][curr_phase].execution > 0:
if d[1][curr_phase].state == 1 :
if d[1][curr_phase] not in per_hour[k]:
per_hour[k].append(d[1][curr_phase])
d[1][curr_phase].run()
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d[1][curr_phase].ready(i,i+5):#change step
if d[1][curr_phase] not in per_hour[k]:
d[1][curr_phase].state = 1
per_hour[k].append(d[1][curr_phase])
d[1][curr_phase].run()
power = power + d[1][curr_phase].power
cost = cost + d[1][curr_phase].power*prices[k]
else:
if d.ready(i,i+5) and d.execution > 0 :#change step
if d not in per_hour[k]:
per_hour[k].append(d)
d.run()
power = power + d.power
cost = cost + d.power*prices[k]
data1=[]
for d in devices:
if type(d) is list:
pl=[]
for curr in range(len(d[1])):
a=[]
for i in range(24*12):#change step
if d[1][curr] in per_hour[i]:
a.append(d[1][curr].power)
else:
a.append(0)
pl.append(a)
pl = [sum(x) for x in zip(*pl)]
pl.insert(0,d[0].name)
data1.append(pl)
else:
a=[]
a.append(d.name)
for i in range(24*12): #change step
if d in per_hour[i]:
a.append(d.power)
else:
a.append(0)
data1.append(a)
col = []
col.append("Device")
for i in range(0,1440,5):#change step
col.append(str(i)+'-'+str(i+5)) #change step
df = pd.DataFrame(columns = col,data = data1)
df.set_index('Device').T.plot(figsize=(20,20),kind='bar',stacked=True)
ab = pd.read_csv('106953_36.33_-110.74_1998.csv') #column 8