Update HEMS.py code
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Sadam93
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HEMS.py
121
HEMS.py
@ -16,16 +16,16 @@ from pyomo.core import value, RangeSet
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# data = pd.ExcelFile('input_new_cluster.xlsx') #it will read the excel one time you do not need to read again and gain
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# Parse the different tab
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sheet_data = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='data')
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sheet_EV = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='EV')
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sheet_EWH = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='EWH')
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sheet_wateruse = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='Water_Use')
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sheet_watertemp = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='Water_Temp')
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sheet_home = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='Home')
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sheet_ESS = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='ESS')
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sheet_PV = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='PV')
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sheet_ambient = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='Ambient_Temp')
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sheet_load = pd.read_excel("input_new_cluster_trying.xlsx", sheet_name='Base_Load')
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sheet_data = pd.read_excel("input_new_cluster.xlsx", sheet_name='data')
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sheet_EV = pd.read_excel("input_new_cluster.xlsx", sheet_name='EV')
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sheet_EWH = pd.read_excel("input_new_cluster.xlsx", sheet_name='EWH')
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sheet_wateruse = pd.read_excel("input_new_cluster.xlsx", sheet_name='Water_Use')
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sheet_watertemp = pd.read_excel("input_new_cluster.xlsx", sheet_name='Water_Temp')
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sheet_home = pd.read_excel("input_new_cluster.xlsx", sheet_name='Home')
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sheet_ESS = pd.read_excel("input_new_cluster.xlsx", sheet_name='ESS')
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sheet_PV = pd.read_excel("input_new_cluster.xlsx", sheet_name='PV')
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sheet_ambient = pd.read_excel("input_new_cluster.xlsx", sheet_name='Ambient_Temp')
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sheet_load = pd.read_excel("input_new_cluster.xlsx", sheet_name='Base_Load')
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# </editor-fold>
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# </editor-fold>
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@ -860,59 +860,60 @@ for i in model.Sell_price:
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# plt.show()
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# code for if you want to plot all the home togathoer
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fig, ax = plt.subplots(8, len(model.h), figsize=(10,10))
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for k in range(len(model.h)):
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ax[0, k].plot(time, pbuy[k], label='Buying power')
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ax[0, k].plot(time, psell[k], label='Selling power')
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ax[0, k].plot(time, baseload[k], label='Base load')
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ax[0, k].legend(loc='best')
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ax[1, k].plot(time, Buyprice, label='Buyprice')
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ax[1, k].legend(loc='best')
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ax[1, k].plot(time, Sellprice, label='Sellprice')
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ax[1, k].legend(loc='best')
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ax[2, k].plot(time, PEWH[k], label='EWH Power')
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ax[2, k].plot(time, tettaEWHwat[k], label='EWH Temp')
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ax[2, k].legend(loc='best')
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ax[3, k].plot(time, PESSCharge[k],label='ESS Charging power')
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ax[3, k].plot(time, PESSDischHome[k], label='ESS Disch to home')
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ax[3, k].plot(time, PESSDischGrid[k], label='ESS Disch to grid')
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ax[3, k].legend(loc='best')
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ax[4, k].plot(time, PVHome[k], label='PV to Home')
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ax[4, k].plot(time, PVGrid[k], label='PV to Grid')
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ax[4, k].plot(time, PPV[k], label='All PV Production')
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ax[4, k].legend(loc='best')
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ax[5, k].plot(time, PEVCharge[k], label='EV Charging power')
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ax[5, k].plot(time, PEVDischHome[k], label='EV Disch to home')
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ax[5, k].plot(time, PEVDischGrid[k], label='EV Disch to grid')
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ax[5, k].legend(loc='best')
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ax[6, k].plot(time, EnergyESS[k], label='Energy of ESS')
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ax[6, k].legend(loc='best')
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ax[7, k].plot(time, EnergyEV[k], label='Energy of EV')
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ax[7, k].legend(loc='best')
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ax[4, k].set_xlabel('Time (step)')
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ax[1, k].set_ylabel('Electricity price ($/W/h)')
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ax[0, k].set_ylabel('Power (kW)')
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ax[2, k].set_ylabel('Power (kW)')
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ax[0, k].set_title(f"Home {k+1}")
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pl.tight_layout()
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plt.show()
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# fig, ax = plt.subplots(6, len(model.h), figsize=(10,10))
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# for k in range(len(model.h)):
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# ax[0, k].plot(time, pbuy[k], label='Buying power')
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# ax[0, k].plot(time, psell[k], label='Selling power')
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# # ax[0, k].plot(time, baseload[k], label='Base load')
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# ax[0, 0].legend(loc='best')
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# ax[1, k].plot(time, Buyprice, label='Buyprice')
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# ax[1, 0].legend(loc='best')
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# ax[1, k].plot(time, Sellprice, label='Sellprice')
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# ax[1, 0].legend(loc='best')
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# ax[2, k].plot(time, PEWH[k], label='EWH Power')
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# ax[2, k].plot(time, tettaEWHwat[k], label='EWH Temp')
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# ax[2, 0].legend(loc='best')
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# ax[3, k].plot(time, PESSCharge[k],label='ESS Charging power')
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# ax[3, k].plot(time, PESSDischHome[k], label='ESS Disch to home')
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# ax[3, k].plot(time, PESSDischGrid[k], label='ESS Disch to grid')
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# ax[3, 0].legend(loc='best')
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# ax[4, k].plot(time, PVHome[k], label='PV to Home')
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# ax[4, k].plot(time, PVGrid[k], label='PV to Grid')
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# ax[4, k].plot(time, PPV[k], label='All PV Production')
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# ax[4, 0].legend(loc='best')
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# ax[5, k].plot(time, PEVCharge[k], label='EV Charging power')
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# ax[5, k].plot(time, PEVDischHome[k], label='EV Disch to home')
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# ax[5, k].plot(time, PEVDischGrid[k], label='EV Disch to grid')
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# ax[5, 0].legend(loc='best')
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# # ax[6, k].plot(time, EnergyESS[k], label='Energy of ESS')
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# # ax[6, k].legend(loc='best')
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# # ax[7, k].plot(time, EnergyEV[k], label='Energy of EV')
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# # ax[7, 0].legend(loc='best')
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# ax[4, 5].set_xlabel('Time (step)')
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# ax[1, 0].set_ylabel('Electricity price ($/W/h)')
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# ax[0, 0].set_ylabel('Power (kW)')
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# ax[2,0].set_ylabel('Power (kW)')
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# ax[0, k].set_title(f"Home {k+1}")
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#
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# # pl.tight_layout()
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#
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# plt.show()
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# if you want to plot each home alone in the figure
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# for k in range(len(model.h)):
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# fig, ax = plt.subplots(2)
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# ax[0].plot(time, pbuy[k], 'b-', label='Base')
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# ax[0].plot(time, psell[k], 'g--', label='Controllable Load')
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# ax[1].plot(time, Buyprice, label='buying price')
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# ax[1].plot(time, Sellprice, 'y-+', label='selling price')
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# ax[1].legend(loc='upper left')
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# ax[1].set_xlabel('Time (hour)')
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# ax[1].set_ylabel('Electricity price ($/W/h)')
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# plt.suptitle(f"Home {k+1}")
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# pl.tight_layout()
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# plt.show()
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bar_width =0.4
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time1 = np.array(time)
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for k in range(len(model.h)):
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fig, ax = plt.subplots(2,constrained_layout=True, )
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ax[0].bar(time1 - bar_width/2 , pbuy[k], width=bar_width, label='Base')
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ax[0].bar(time1 + bar_width/2 , psell[k], width=bar_width, label='Controllable Load')
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ax[1].plot(time, Buyprice, label='buying price')
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ax[1].plot(time, Sellprice, 'y-+', label='selling price')
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ax[1].legend(loc='upper left')
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ax[1].set_xlabel('Time (hour)')
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ax[1].set_ylabel('Electricity price ($/W/h)')
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plt.suptitle(f"Home {k+1}")
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plt.show()
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# print('this is the end of code')
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