A hybrid genetic algorithm/dynamic programming approach to optimal long-term generation expansion planning
- 1 May 1998
- journal article
- Published by Elsevier in International Journal of Electrical Power & Energy Systems
- Vol. 20 (4) , 295-303
- https://doi.org/10.1016/s0142-0615(97)00070-7
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- An expert system with fuzzy sets for optimal planning (of power system expansion)IEEE Transactions on Power Systems, 1991
- A nonlinear programming approach to optimal static generation expansion planningIEEE Transactions on Power Systems, 1989
- Incorporating a multi-criteria decision procedure into the combined dynamic programming/production simulation algorithm for generation expansion planningIEEE Transactions on Power Systems, 1989
- Integrating expert systems with dynamic programming in generation expansion planningIEEE Transactions on Power Systems, 1989
- Comparison of probabilistic production cost simulation methodsIEEE Transactions on Power Systems, 1989
- New Ananlytical Approach For Long-Term Generation Expansion Planning Based on Maximum Principle And Gaussian distribution FunctionIEEE Transactions on Power Apparatus and Systems, 1985
- Planning for New Electric Generation Technologies A Stochastic Dynamic Programming ApproachIEEE Transactions on Power Apparatus and Systems, 1984
- Optimal Mix Algorithms with Existing UnitsIEEE Transactions on Power Apparatus and Systems, 1984
- Long-Range Generation Planning Using Decomposition and Probabilistic SimulationIEEE Transactions on Power Apparatus and Systems, 1982
- Application of Linear Programming to Investments in the Electric Power IndustryManagement Science, 1957