• No results found

Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity

N/A
N/A
Protected

Academic year: 2021

Share "Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity"

Copied!
16
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 2 shows the ISE value and settling times (2% of final value) when the controller parameters are optimized using ISE error criteria
Table 3 ITSE value and settling times with ITSE objective function.
Figure 5 Change in tie line power for 1% step load increase in area-1 with ISE objective function.
Figure 8 Change in tie line power for 1% step load increase in area-1 with ITSE objective function.
+7

References

Related documents

The workshop­seminar on internaonal commercial contracts organised by UIA in Munich will analyze the basic issues of cross­ border contracts with reference to three types of

Such a collegiate cul- ture, like honors cultures everywhere, is best achieved by open and trusting relationships of the students with each other and the instructor, discussions

For many who lived in London, the Great Plague of 1665 was a “plague of body and of purse.” 1 This chapter will demonstrate that flaws in the authorities’ policies for funding

John Maschino Pitcher Edmond (Okla.) North High School Brandon Moss Catcher Norman (Okla.) High School Louis Ott Infielder Sacramento City Community College Kyle Price

Symposium on European Insurance Länsförsäkringar Wasa AB Stockholm University Att: Anki Hansson.. Factulty of Law S-106 50 Stockholm S-106

1. Handpick stones from a representative portion of the cleaned sample. Determine stone concentration in the net sample. • In western Canada samples of grain containing stones in

What types of information do the rice farmers need in Anyiin, Logo Local Government Area of Benue State, were do the rice farmers go to satisfy their information needs,

The purpose of delivery plans is to provide downstream agents knowledge of the state of the upstream supply chain.. Downstream planning agents thus know whether the upstream ability