{'fraction_non_alphanumeric': 0.010277492291880781, 'fraction_numerical': 0.0, 'mean_word_length': 5.203821656050955, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Gain scheduling approach to excitation control in power systems

Gain Scheduling, a practical nonlinear control scheme, is used to develop a two level nonlinear piece wise optimal excitation control strategy for power systems. The operating area of the power system is first divided into multiple zones. With a locally linearized model developed for each zone, the well known linear optimal control design method is then employed to obtain locally optimized closed loop performance. Global control law is developed for the system with the gain scheduling strategy as a top regulator by combining all the bottom level controllers using T S fuzzy interpolation algorthm. Characteristics of the proposed controller are investigated in a single machine infinite bus power system. Digital simulation shows that it can properly adjust the feedback gains of LOEC when the operating point of the system varies and has better transient/steady state performance than fixed gain LOEC.