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Original Article

TVA generating unit modeling using MATLABFootnote

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Pages 73-81 | Received 20 May 2013, Accepted 25 May 2014, Published online: 27 Mar 2018

Figures & data

Figure 2 (a) TVA1 results, P-up, (b) TVA 1 results, P-down, (c) TVA 1 results, P-dereated.

Figure 3 (a) TVA 2 results, P-up, (b) TVA 2 results, P-down (c) TVA 2 results, P-dereated.

Figure 4 (a) TVA 3 results, P-up, (b) TVA 3 results, P-down (c) TVA 3 results, P-dereated.

Figure 8 (a) TVA 1 results, P264-Up, (b) TVA 1 results, P264-Down, (c) TVA 1 results, P264-derated.

Figure 9 (a) TVA 2 results P267-Up, (b) TVA 2 results, P267-down (c) TVA 2 results P267-derated.

Figure 10 (a) TVA 3 results P270-Up, (b) TVA 3 results P270-down, (c) TVA 3 results P270-derated.

Figure 1 Three-state TVA diagram model.

Table 1 Transition rates of the four TVA models.

Figure 5 (a) TVA 4 results, P-up, (b) TVA 4 results, P-down (c) TVA 4 results, P-dereated.

Figure 6 A Neural Fuzzy inference system.

Figure 7 The Neuro-Fuzzy inference system for the TVA model.

Figure 11 (a) TVA 4 results P273-Up, (b) TVA 4 Results P273-down, (c) TVA 4 results P273-derated.

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