A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems

Ferrero, Roberto; Rivera, J.F.; Shahidehpour, Mohammad

doi:10.1109/59.736302

Cited by 120 publications

(53 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The method reported in the literature includes classical methods such as Gradient descent method [1] and Lagrange Relaxation method [2]. The STHTS is a large-scale nonlinear and complicated constrained power system optimization problem which has been solved using calculus-based programming algorithms such as augmented lagrangian relaxation method [3], linear and nonlinear programming [4, dynamic programming [4], interior point methods [5], bundle trust method [6] and mixed integer programming [7]. Various stochastic search algorithms such as Simulated annealing (SA) [8,9], Genetic algorithm (GA) [10], Evolutionary Programming (EP) [11][12][13] and Particle Swarm Optimization (PSO) [14][15][16][17] have been implemented for the solution of hydrothermal scheduling problem.…”

Section: Introductionmentioning

confidence: 99%

Short-Term Hydrothermal Scheduling of an Indian Utility System Using an Enhanced Bacterial Foraging Algorithm

Padmini

Jegatheesan

Dash

et al. 2014

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

The Short-Term Hydrothermal Scheduling (STHTS) problem is treated as a dynamic large scale optimization problem. The Bacteria Foraging Algorithm (BFA) is a recently developed evolutionary optimization technique which is based on the foraging behavior of the E. coli bacteria. The BFA has been successfully implemented to solve various optimization problems. To solve STHTS problem, considering its high dimension search space, some critical improvements are introduced into the basic BFA to improve convergence. Here the chemotactic step is modified, so that better exploration of the search space can be obtained. An Enhanced Bacteria Foraging Algorithm (EBHA) is presented to solve the short term hydrothermal coordination problem. The developed algorithm is illustrated for a test system consisting of four hydro and seven thermal plants of an Indian Utility system. It is found that convergence characteristic is excellent and the result obtained by the proposed method is better in terms of fuel cost.

show abstract

Section: Introductionmentioning

confidence: 99%

Short-Term Hydrothermal Scheduling of an Indian Utility System Using an Enhanced Bacterial Foraging Algorithm

Padmini

Jegatheesan

Dash

et al. 2014

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

show abstract

“…TSP has been widely studied over the past decades (Wang and Adams, 1986;Birge and Louveaux, 1988;Eiger and Shamir, 1991;Ruszczynski and Swietanowski, 1997;Ferrero et al, 1998;Huang and Loucks, 2000;Maqsood et al, 2005;Guo et al, 2008;. It has also been successfully applied to water resource management problems.…”

Section: Introductionmentioning

confidence: 99%

An Extended Two-stage Stochastic Programming Approach for Water Resources Management under Uncertainty

Nematian¹

2015

J ENV INFORM

View full text Add to dashboard Cite

ABSTRACT. In this study, extended two-stage stochastic programming with fuzzy variables is developed for water resources management under uncertainty. First, the problem is formulated and solved by an extended interval-parameter two-stage stochastic programming (ITSP) approach for retrieving water shortages. To this end, some alternatives are considered to retrieve the difference between the quantities of promised water-allocation targets and the actual allocated water. An extended ITSP is then developed for the problem under the fuzzy uncertainty by using fuzzy variables and solved using fuzzy chance-constrained programming based on the idea of possibility theory. Furthermore, an illustrative example is also given to clarify the methods discussed in this paper.

show abstract

“…Supposing the conductor over-ground height h are 20m, 22m, 24m and 26m, the distribution curves of the power frequency electric field 1.3m above the ground can be presented as follows: As we can see from Fig.3, the electric field intensity of transmission line becomes more and more weak with the increasing conductor over-ground height [10][11][12]. When the conductor over-ground height increases from 20m to 22m, the maximum electric field intensity reduces by 1.93kV/m.…”

Section: ) the Influence Of Conductor Over-ground Heightmentioning

confidence: 99%

Modeling and Simulation Analysis of Power Frequency Electric Field of UHV AC Transmission Line

Han¹,

Chen²

2015

ijacsa

View full text Add to dashboard Cite

Abstract-In order to study the power frequency electric field of UHV AC transmission lines, this paper which models and calculates using boundary element method simulates various factors influencing the distribution of the power frequency electric field, such as the conductor arrangement, the overground height, the split spacing and the sub conductor radius. Different influence of various factors on the electric field distribution will be presented. In a single loop, using VVV triangular arrangement is the most secure way; in a dual loop, the electric field intensity using reverse phase sequence is weaker than that using positive phase sequence. Elevating the overground height and reducing the conductor split spacing will both weaken the electric field intensity, while the change of sub conductor radius can hardly cause any difference. These conclusions are important for electric power company to detect circuit.

show abstract

A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems

Cited by 120 publications

References 16 publications

Short-Term Hydrothermal Scheduling of an Indian Utility System Using an Enhanced Bacterial Foraging Algorithm

Short-Term Hydrothermal Scheduling of an Indian Utility System Using an Enhanced Bacterial Foraging Algorithm

An Extended Two-stage Stochastic Programming Approach for Water Resources Management under Uncertainty

Modeling and Simulation Analysis of Power Frequency Electric Field of UHV AC Transmission Line

Contact Info

Product

Resources

About