LSTM Recurrent Neural Network-Based Frequency Control Enhancement of the Power System with Electric Vehicles and Demand Management

Table 1

Generator data of 62 bus Indian utility system.

Gen. No.	P i, min(MW)	P i, max MW	ai (CU/(MWhr)^2)	bi (CU/MWhr)	ci (CU/hr)	Bus no	Voltage mag.	Angle deg.	MW	Mvar	Q min	Q max	Area
G1	50	300	0.0070	6.80	95	1	1.05	0	192.64	23.55	0	450	2
G2	50	450	0.0055	4.00	30	2	1.05	0	190.58	0.00	0	130	2
G3	50	450	0.0055	4.00	45	5	1.05	0	255.68	0.00	0	255	2
G4	0	150	0.0025	0.85	10	9	1.05	0	78.202	1.218	0	100	2
G5	50	300	0.0060	4.60	20	14	1.05	0	171.08	233.9	0	500	2
G6	50	450	0.0055	4.00	90	17	1.05	0	190.61	0.00	0	0	4
G7	50	200	0.0065	4.70	42	23	1.05	0	151.84	147.9	0	340	4
G8	50	500	0.0075	5.00	46	25	1.05	0	250.24	86.52	0	395	4
G9	0	600	0.0085	6.00	55	32	1.05	0	106.62	0.00	−100	400	3
G10	0	100	0.0020	0.50	58	33	1.05	0	62.380	0.00	0	30	3
G11	50	150	0.0045	1.60	65	34	1.05	0	134.50	41	0	41	3
G12	0	100	0.0025	0.85	78	37	1.05	0	78.533	0.00	0	87	3
G13	50	300	0.0050	1.80	75	49	1.05	0	213.95	0.00	0	80	1
G14	0	150	0.0045	1.60	85	50	1.05	0	92.784	0.00	0	200	1
G15	0	500	0.0065	4.70	80	51	1.05	0	82.957	41.54	0	245	1
G16	50	150	0.0045	1.40	90	52	1.05	0	24.608	35	0	35	1
G17	0	100	0.0025	0.85	10	54	1.05	0	72.633	0.00	0	100	1
G18	50	300	0.0045	1.60	25	57	1.05	0	219.44	0.00	0	20	1
G19	100	600	0.0080	5.50	90	58	1.05	0	339.70	100	100	420	1