Environmental and Economic Optimization Model for Electric System Planning in Ningxia, China: Inexact Stochastic Risk-Aversion Programming Approach

Table 1

Regional electricity demands and electricity generation targets.

Time period	t = 1		t = 2		t = 3
Demand level probability (%)
Low (L)	25		20		15
Medium (M)	50		60		55
High (H)	25		20		30
Local total electricity demand (10^3 GWh)
Demand level	Local demand	Expert electricity	Local demand	Expert electricity	Local demand	Expert electricity
Low (L)	335, 350	110, 120	350, 370	130, 140	365, 385	150, 180
Medium (M)	335, 375	125, 135	375, 400	140, 140	390, 420	165, 180
High (H)	380, 390	140, 150	400, 415	150, 165	425, 440	180, 195
Electricity generation targets of each power conversion technology (10^3 GWh)
Coal-fired power,	157.5, 280		155, 260]		152.5, 250
Gas-fired power,	30, 100		35, 125]		40, 150
Hydropower,	25, 50		27.5, 75		30, 120
Wind power,	10, 40		10, 45		10, 55
Solar power,	5, 25		5, 35		5, 45