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Artificial intelligence techniques for voltage control

Artificial intelligence techniques for voltage control

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In the light of the review presented in this chapter, the following future requirements for reactive power control may be concluded: 1) Despite remarkable advances in mathematical optimisation technology, conventional methods have yet to achieve fast and reliable real-time reactive power control; considerable efforts are required to avoid mathematical traps such as ill-conditioning and convergence difficulties; 2) The experience of prototype expert systems applied to voltage control demonstrates that: (i) knowledge-based systems can enhance the capabilities of a power system in handling reactive power control; (ii) knowledge-based development methodologies are relevant to reactive power control; (iii)the application of hybrid systems is a novel development which represents a future trend in research; (iv)the application of fuzzy systems theory to voltage control requires further development, for example of techniques for rule sequencing and conflict resolution, before it can be considered for practical applications.

Inspec keywords: voltage control; artificial intelligence; fuzzy systems; reactive power control; power engineering computing; knowledge based systems

Other keywords: fuzzy systems theory; knowledge-based systems; real-time reactive power control; mathematical optimisation technology; artificial intelligence; voltage control

Subjects: Power system control

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