A new artificial neural model for linear programming is presented. The model is globally stable and can provide optimal solution from arbitrary initial states. Applications to optimal linear classifiers (adaptive threshold elements) are discussed in detail.
Linear programming optimization in CHP networks
✍ Scribed by Stig-Inge Gustafsson; Björn G. Karlsson
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 503 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0890-4332
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✦ Synopsis
Al~trlct--This paper shows how to simulate a CHP network (CHP = Combined Heat and Power) using the method of linear programming. This method makes it possible to optimize the mathematical model and subsequently find the very best combination of electricity production, electricity purchase and heat production in a district heating system, The optimal solution in the model is characterized by the lowest possible operating cost for one year. The paper shows the design of the mathematical model and furthermore a case study is presented using the district heating net in Maim6, Sweden, as an example.
📜 SIMILAR VOLUMES
This paper describes three methods of optimizing linear time-invariant networks using nonlinear programming (NLP), particularly the sequential unconstrained minimization technique (SUM T). Examples involving realistic constraints are included. I. Zntroduction
Al~tract--ln Sweden, Combined generation of Heat and Power (CHP) is in common practice. Different fuels are burnt in a boiler and the steam is used for generating electricity. The heat that has to be transferred from the condenser in the plant is used in the district heating grid. This grid is thus