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

Table 3

ITAE of the proposed controller.

S. No	Case	Area	PID controller	Fuzzy controller	Proposed controller
1.	Case 01	Area 01	0.5023	0.2917	0.2740
		Area 02	0.2318	0.2101	0.1681
		Area 03	2.6951	1.0208	0.8179
		Area 04	0.8214	0.8110	0.7676
2.	Case 02	Area 01	0.4797	0.2778	0.2770
		Area 02	0.1803	0.1595	0.1592
		Area 03	2.1758	0.9932	0.7964
		Area 04	0.8200	0.8051	0.7526
3.	Case 03	Area 01	0.4952	0.2868	0.2859
		Area 02	0.1861	0.1646	0.1644
		Area 03	2.2460	1.0253	0.8220
		Area 04	0.8388	0.8225	0.7729
4.	Case 04	Area 01	0.4970	0.2886	0.2711
		Area 02	0.2294	0.2079	0.1663
		Area 03	2.6667	1.0100	0.8092
		Area 04	0.8127	0.8025	0.7595