Journal ArticleDOI
Transmission Constrained Production Cost Analysis in Power System Planning
TLDR
In this article, an application of linear programming to transmission constrained generation production cost analysis in power system planning is described, which allows a large electrical network representation to be studied with a detailed load and generation model.Abstract:
This paper describes an application of linear programming to transmission constrained generation production cost analysis in power system planning. The approach allows a large electrical network representation to be studied with a detailed load and generation model. Hour by hour transmission element loadings are calculated and the unconstrained generation dispatch is adjusted to relieve any over- loads for simultaneous pre-contingency and post- contingency limits. A secure dispatch for all hours results from the repeated application of the methodology. The results include annual production costs and cost penalties reflecting the effects of hourly transmission constraints and summaries of overloaded and constraining transmission elements.read more
Citations
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Journal ArticleDOI
Neural networks approach for solving economic dispatch problem with transmission capacity constraints
T. Yalcinoz,M.J. Short +1 more
TL;DR: In this article, a new approach using Hopfield neural networks for solving the economic dispatch (ED) problem with transmission capacity constraints is presented, which is based on an improved hopfield neural network which was presented by Gee et al. (1994).
Journal ArticleDOI
Artificial bee colony optimization for multi-area economic dispatch
TL;DR: Compared with differential evolution, evolutionary programming and real coded genetic algorithm, the proposed algorithm seems to be a promising alternative approach for solving the MAED problems in practical power system.
Journal ArticleDOI
Teaching–learning-based optimization algorithm for multi-area economic dispatch
TL;DR: This paper presents teaching–learning-based optimization algorithm for solving MAED (multi-area economic dispatch) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones.
Journal ArticleDOI
Reserve constrained multi-area economic dispatch employing differential evolution with time-varying mutation
TL;DR: In this paper, the performance of various differential evolution (DE) strategies enhanced with time-varying mutation to solve the reserve constrained multi-area economic dispatch (MAED) problem is evaluated.
Journal ArticleDOI
Evolutionary algorithm solution and KKT based optimality verification to multi-area economic dispatch
TL;DR: Simulation experiments reveal that CMAES algorithm performs better in terms of solution quality and consistency than RGA, PSO, Differential Evolution and Covariance Matrix Adapted Evolution Strategy.
References
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Journal ArticleDOI
Linear Programming for Power-System Network Security Applications
B . Stott,J. L. Marinho +1 more
TL;DR: A linear programming method for security dispatch and emergency control calculations on large power systems is presented, which works directly with the normal power-system variables and limits, and incorporates the usual sparse matrix techniques.
Journal ArticleDOI
Method for economic secure loading of a power system
TL;DR: A linear-programming procedure utilising a modified form of the simplex method for determining the most economical schedule, consistent with network security requirements, for loading plant in a power system.
Journal ArticleDOI
Security Constrained Dispatch at the New York Power Pool
A. J. Elacqua,S. L. Corey +1 more
TL;DR: The Economic Dispatch program uses the differential algorithm coupled with the revised simplex technique with bounding to produce an optimal generation schedule with security constraints.
Journal ArticleDOI
Security Constrained Dispatch
TL;DR: The differential algorithm coupled with the simplex procedure is used to optimize the generation schedules and takes advantage of the sparse simplex tableau that results when applied to the dispatch problem yields significant reductions in computer storage requirements.
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