Optimasi Transaksi Tenaga Listrik Interkoneksi Jawa-Bali Dengan Jaringan Syaraf Hopfiled  

Oleh:

Tjandrarini

Jenis: Article from Journal - ilmiah nasional - tidak terakreditasi DIKTI
Dalam koleksi: Gematika: Jurnal Manajemen Informatika vol. 5 no. 2 (Jun. 2004), page 66-77.
Topik: Jaringan saraf tiruan; electrical power exchanges; hopfield; optimization; unit commitment

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: GG4.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Electrical power exchanges is unit commitment problem of power plants that involve non - linearity and combinatorial complexity problems, so computing time of solution become Non - deterministic Polynomial Complete (NP - Complete). Hopfield Artificial Neural Network is the answer of most complex problems like optimization of electrical power exchanges problem with more constraint involved. The production cost with global optimization is about 1,64 times cheaper than with local. The other result is, the production cost with global optimization is cheaper than with local until 79 % losses value of transmission network. At 80 %, the production cost with global optimization become more expensive than with local.

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