A synchronous generator stabilizer design using neuro inverse controller and error reduction network
- Seoul National Univ. (Korea, Republic of). Dept. of Electrical Engineering
A neuro power system stabilizer (PSS) is developed for multimachine power systems. Each machine is identified in its inverse relation by an artificial neural network named Inverse Dynamics Neural Network (IDNN) off line, which is used as a local inverse controller. The control error due to the interactions between generators is predicted and compensated through another network called Error Reduction Network (ERN). The ERN consists of several IDNNs in the linear combination form. In most neuro controllers, two neural nets are required, one for system emulation, the other for control. In the proposed controller, the only network requiring training is the IDNN. Simulations are performed on two typical cases: an unstable single machine power system of non-minimum phase, and a multimachine power system.
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 435395
- Report Number(s):
- CONF-960111-; ISSN 0885-8950; TRN: IM9710%%53
- Journal Information:
- IEEE Transactions on Power Systems, Vol. 11, Issue 4; Conference: IEEE Power Engineering Society (PES) Winter meeting, Baltimore, MD (United States), 21-25 Jan 1996; Other Information: PBD: Nov 1996
- Country of Publication:
- United States
- Language:
- English
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