Planning and Scheduling Process for a Grid-Connected Microgrid Based on Renewable Energy Sources by a Novel Fuzzy Method

Table 4

Obtained results for sensitivity analysis.

	Values	Case number	Generated power of WTs in kWh	Generated power of PV systems in kWh	Generated power of FCs in kWh	Generated power of ESSs in kWh	Used power by ESSs in kWh	Purchased power from power market in kWh	Sold power to power market in kWh	Undelivered power in kWh	Entire operational expenditure in $
Fuzziness parameters coefficient	M = 1	1	3538.9	1100.1	717	255	210	324.8	263	9.8	1329.1
	M = 0.1	2	3541.3	1099.8	678	255	210	324.6	229.6	9.7	1326.8
	M = 10	3	3126.4	1002.7	886	1729	103	449.9	100.2	32.7	1507.2
Policies of various subsidies in $/kWh		4	3538.9	1100.1	717	255	210	324.8	263	9.8	1329.1
		5	3540.2	1014.4	727.2	192.8	129.7	3305.8	213.6	10.2	1544.2
		6	3427.5	1100.2	729.1	191.3	125.2	349.8	213.4	10.1	2030.7
		7	3433.2	1094.1	728.5	190.6	125.7	349.6	212.8	10.1	2250.7
Various capacities for ESSs and FCs in kW		8	3538.9	1100.1	717	255	210	324.8	263	9.8	1329.1
		9	3540.2	1101.3	816.1	255	211	266.7	293.6	0	1310.2
		10	3537.9	1100.3	730.7	268.5	228.3	314.6	264	0	132.1
Capacity of connection line in kW		11	3538.9	1100.1	717	255	210	324.8	263	9.8	1329.1
		12	3525.2	1095.9	747.8	257.8	214.8	65.3	43.1	36.4	1389.2
		13	3539.8	1101.2	678.9	216.3	160.2	464.8	373.1	0	1296.7

Highlighted branches denote the basic scenario.