Name
Abstract | ||
|---|---|---|
This paper presents a multi-objective optimisation technique for the design of a static synchronous series compensator (SSSC)-based controller. The design objective is to improve the transient performance of a power system subjected to a severe disturbance by minimising the power angle, terminal voltage and power flow time trajectory deviations with respect to a post-contingency equilibrium point for a power system installed with a SSSC. A genetic algorithm (GA)-based solution technique is applied to generate a Pareto set of global optimal solutions to the given multi-objective optimisation problem in power systems. The optimal gain and time constant values for the proposed SSSC-based controller are determined in a generator-infinite-bus test system. Simulation results show the effectiveness and robustness of the proposed approach in improving transient performance of the example power system. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1504/IJMIC.2013.052823 | INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL |
Keywords | Field | DocType |
computational algorithms, modelling and control, multi-objective optimisation, Pareto solution set, power system stability, static synchronous series compensator, SSSC | Control theory,Control theory,Equilibrium point,Electric power system,Control engineering,Robustness (computer science),Pareto principle,Trajectory,Mathematics,Genetic algorithm,Design objective | Journal |
Volume | Issue | ISSN |
18 | 3 | 1746-6172 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sidhartha Panda | 1 | 211 | 24.23 |
| S. C. Swain | 2 | 11 | 2.30 |
| A. K. Baliarsingh | 3 | 1 | 0.72 |
| A. K. Mohanty | 4 | 0 | 0.68 |