A Refined Teaching-Learning Based Optimization Algorithm for Dynamic Economic Dispatch of Integrated Multiple Fuel and Wind Power Plants

Table 10

Optimum power generation schedule by the proposed hybrid method for Case  3.

Hours	Unit 1 (MW)	Unit 2 (MW)	Unit 3 (MW)	Unit 4 (MW)	Unit 5 (MW)	Unit 6 (MW)	Unit 7 (MW)
1	50.1765	246.7831	109.0714	200.9432	249.4944	449.1239	130.4074
2	50.4837	246.7862	109.1178	199.1263	249.5121	449.1726	130.802
3	50.1504	248.194	109.6522	199.4125	250.1078	391.3154	130.167
4	50.1504	248.194	109.6522	199.4125	250.1078	391.3154	130.167
5	50.908	248.4653	227.0444	199.8768	249.217	391.8057	130.6821
6	50.0372	248.1954	228.4242	299.0385	149.3936	491.269	431.6421
7	150.5531	248.7201	228.4164	301.6176	201.7853	491.6717	430.2354
8	150.7471	248.0315	227.6193	399.1701	250.0372	491.3144	425.0805
9	201.5881	248.3894	227.8767	399.7394	251.8601	491.65	425.8968
10	200.3487	248.5601	227.2035	284.7149	250.8383	491.8086	425.5268
11	150.5375	248.871	227.0273	284.2595	250.607	423.3105	375.3871
12	151.3938	248.0096	227.9976	230.6298	250.0504	416.2553	376.6628
13	111.3893	206.308	187.8105	230.437	249.5497	366.5767	373.9281
14	50.2451	245.2532	109.4874	198.5244	170.4322	449.9621	130.0953
15	50.1059	245.8208	109.1871	198.0508	169.5593	393.1648	130.1121
16	51.0341	248.0319	223.3174	198.2213	249.7542	360.2424	130.3985
17	101.8185	249.2257	224.2334	199.0557	250.7762	404.5432	193.3477
18	100.222	248.4538	223.2834	198.7258	247.2119	400.2288	249.8746
19	150.8142	249.054	223.5754	280.419	247.8311	420.097	420.2097
20	151.1352	248.5349	223.1048	230.6187	247.3284	385.2221	421.0556
21	151.3026	248.153	221.6068	201.726	240.4372	331.1033	400.6704
22	151.7401	246.2078	220.066	201.0327	190.4418	326.2747	402.2377
23	151.2091	245.8827	220.6052	200.645	191.2556	285.387	302.0158
24	150.6131	241.54	200.1566	200.9639	190.7316	286.3282	250.6668