Mixed Biogeography-Based Optimization for GENCOs’ Maintenance Scheduling in Restructured Power Systems

Figures & data

Figure 1. Species model of a single habitat.

Figure 2. Habitat modification using migration operation.

Figure 3. Mutation operation.

Figure 4. The value of calculated variables.

Figure 5. Pseudo code for biogeography-based optimization. Here, indicates habitat, HSI is fitness, SIV (suitability index variable) is a solution feature, denotes immigration rate and denotes emigration rate.

Table 1. GENCO’s generators specification.

Unit No.	Min. capacity, (p.u.)	Max. capacity, (p.u.)	Operation cost ($)	Maintenance cost ($/p.u.)
1	0.5	2.5		300
2	0.6	2.5		200
3	0.6	2.5		100

Table 2. GENCO’s transmission lines specification.

Line No.	Buses of line	No. of circuits	Maintenance cost ($/line)	Max. capacity/circuit (p.u.)
1	1–2	2	100	0.5
2	2–3	2	200	1
3	1–3	2	300	0.5

Table 3. Load specification.

Bus No.	Load (p.u.)	Generator
1	1
2	3
3	1

Table 4. The market price forecast.

Week No.	Average market price forecast ($)
1	55
2	50
3	45

Table 5. The value of maintenance variables.

Maintenance variables
	1		2		2.5		0
	0		0		0		1
	1		2		2.0846		0
	1		0		2.4343		0.5799
	1		2		2.5		0
	0		2		0		2
	0		2		0		1
	1		2		2.5		0
	1		0		3		0

Figure 6. The convergence of BBO for the GENCO model.