This paper presents a novel application of multivariable control theory to
the design of Multiple Multi-Input Single-Output MMISO damping controllers
for electric power systems. The damping controllers are sequentially design
ed to optimize performance indexes that may be local or global. The design
can be carried out to favor non-interaction among controllers, or to favor
sharing responsibility in achieving a common objective.
The modeling and design approach described in Part 1 is used in the WSCC 3-
areas test system and on the NPCC 16-machines system. Measurements selectio
n, agent model building, and application of robust control, of projective c
ontrol and dynamic compensation in the design framework presented in Part 1
are illustrated. (C) 2000 Elsevier Science Ltd. All rights reserved.