New Analytical Approach for Long-Term Generation Expansion Planning Based on Maximum Principle and Gaussian Distribution Function

Energy Policy Making: An Old Concept or a Modern Challenge?

“…The energy planning constitutes an exceptionally complex process that creates the necessity for simple models, which will give the base for the energy policy making (Park et al, 1985). In the previous years, the aim of the energy planning models that were developed was the optimization of energy demand's cover with economic criteria (Samouilidis, 1982).…”

“…To the best of our knowledge, some of the main research efforts in energy planning include a generation expansion planning model for electric utilities (Ammons and McGinnis, 1985), a mathematical model for long range expansion planning in electric utility systems (Saway and Zinn, 1977), a modular state-of-the-art capacity expansion software package (Caramanis et al, 1982), a model for planning least-cost investments in generating capacity (Bloom, 1982), a hybrid genetic algorithm/dynamic programming approach (Park et al, 1985), an interactive software developed for integrating engineering experience and judgment (David and Zhao, 1989), a new multicriteria decision (MCD) procedure which combines dynamic programming with a production simulation method (Yang and Chen, 1989), an analytical approach for the production costing model and reliability measure (Park et al, 1998), and a generation planning model that incorporates the outage costs of customers as well as the utility (Wang and Min, 2000).…”

An Optimization Technique for Reactive Power Planning of Subtransmission Network under Normal Operation

“…This paper presents a new approach to the longterm reactive power planning to determine the annual investment in new reactive power compensation. A similar technique was used by Park, Lee and Youn [19] to help the designer in the real power planning problem. The aim of our reactive power planning is to economically determine the required compensation to keep system voltage profile under normal operation within a prescribed range which may change due to load increase during a planning horizon.…”

Strategic appraisal of energy models for Mozambique

“…Therefore, every possible combination of candidate options over a planning horizon must be examined to get the optimal plan, which leads to a computational explosion (Park et al, 1998). A number of methods have been applied to solve this problem, including mathematical programming technique with decomposition method (Bloom, 1982), linear programming (Masse and Gilbrat, 1957), Pontryagin maximum principle (Park et al, 1985), static optimal mix based on nonlinear programming frameworks (Levin and Zahavi, 1984;Ramos et al, 1989), genetic algorithms (Fukuyama and Chiang, 1996;Park et al, 1998), multicriteria decision analysis (Mills et al, 1996;Voropai and Ivanova, 2000), multiple objective linear programming (Martins et al, 1996;Mavrotas et al, 1999) and dynamic programming (Jenkins and Joy, 1974;Dapkus and Bowe, 1984;Zhao, 1989, 1991;Yang and Chen, 1989).…”