1997 journal article
A review of emerging techniques on generation expansion planning
IEEE TRANSACTIONS ON POWER SYSTEMS, 12(4), 1722–1728.
author keywords: generation expansion planning (GEP); expert systems (ES); fuzzy set theory and fuzzy logic (FL); artificial neural networks (ANN); analytic hierarchy process (AHP); network flow (NF); decomposition methods; simulated annealing (SA); genetic algorithm (GA)
TL;DR:
These emerging optimization techniques (including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, decomposition method, simulated annealing and genetic algorithms) and their potential usage in solving the challenging generation expansion planning in future competitive environments in the power industry are described.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science)
9. Industry, Innovation and Infrastructure
(OpenAlex)
Source: Web Of Science
Added: August 6, 2018
Power system generation expansion planning is a challenging problem due to the large-scale, long-term, nonlinear and discrete nature of generation unit size. Since the computation revolution, several emerging techniques have been proposed to solve large scale optimization problems. Many of these techniques have been reported as used in generation expansion planning. This paper describes these emerging optimization techniques (including expert systems, fuzzy logic, neural networks, analytic hierarchy process, network flow, decomposition method, simulated annealing and genetic algorithms) and their potential usage in solving the challenging generation expansion planning in future competitive environments in the power industry. This paper provides useful information and resources for future generation expansion planning.