Transmission Constrained Production Cost Analysis in Power System Planning

Desell, A. L.; McClelland, E. C.; Tammar, K.; Horne, P. R. Van

doi:10.1109/tpas.1984.318532

Cited by 28 publications

(4 citation statements)

References 7 publications

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“…In previous reports, mathematical methods such as linear programming [21], the Dantzig-Wolfe decomposition principle [22], and the decomposition approach using expert systems [23] have been utilized to solve the MAED problem. The advantages of gradient-based methods include achieving the best global solution and less iteration [21]- [23]; however, these methods suffer from undesirable factors such as nonlinearity and discontinuity arising from the valve point effect and prohibited operating zones, respectively. In addition, as the dimensions of the problem increase, the complexity of the mathematical method increases [15].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Optimization Algorithm to Solve the Nonconvex Multiarea Economic Dispatch Problem

Mokarram

Niknam

Aghaei

et al. 2019

IEEE Systems Journal

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Section: Introductionmentioning

confidence: 99%

Hybrid Optimization Algorithm to Solve the Nonconvex Multiarea Economic Dispatch Problem

Mokarram

Niknam

Aghaei

et al. 2019

IEEE Systems Journal

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“…An application of linear programming to transmission constrained production cost analysis was proposed in Ref. [3]. Helmick et al [4] solved multi-area economic dispatch with area control error.…”

Section: Introductionmentioning

confidence: 99%

Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem

Pattanaik

Basu

Dash³

2017

Prot Control Mod Power Syst

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This paper presents both application and comparison of the metaheuristic techniques to multi-area economic dispatch (MAED) problem with tie line constraints considering transmission losses, multiple fuels, valve-point loading and prohibited operating zones. The metaheuristic techniques such as differential evolution, evolutionary programming, genetic algorithm and simulated annealing are applied to solve MAED problem. These metaheuristic techniques for MAED problem are evaluated on three different test systems, both small and large, involving varying degree of complexity and the results are compared against each other.

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“…Romano et al [4] formulated the economic dispatch problem with line flow constraints and spinning reserves using the linear optimization program and solved using the Dantzig-Wolfe decomposition principle. Desell et al [5] described an application of linear programming to transmission-constrained generation production cost analysis in power system planning. Wang and Shahidehpour [6] proposed a decomposition approach to non-linear multi-area generation scheduling with tieline constraints using expert systems.…”

Section: Introductionmentioning

confidence: 99%

Multi-area Environmental Economic Dispatch with Reserve Constraints Using Enhanced Particle Swarm Optimization

Jadoun

Gupta

Niazi

et al. 2015

Electric Power Components and Systems

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In this paper, the multi-area environmental economic dispatch (MAEED) problem with reserve constraints is solved by proposing an enhanced particle swarm optimization (EPSO) method. The objective of MAEED problem is to determine the optimal generating schedule of thermal units and inter-area power transactions in such a way that total fuel cost and emission are simultaneously optimized while satisfying tie-line, reserve, and other operational constraints. The spinning reserve requirements for reserve-sharing provisions are investigated by considering contingency and pooling spinning reserves. The control equation of the particle swarm optimization (PSO) is modified by improving the cognitive component of the particle's velocity using a new concept of a preceding experience. In addition, the operators of PSO are dynamically controlled to maintain a better balance between cognitive and social behavior of the swarm. The effectiveness of the proposed EPSO has been investigated on four areas, 16 generators and four areas, 40 generators test systems. The application results show that EPSO is very promising to solve the MAEED problem.

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Transmission Constrained Production Cost Analysis in Power System Planning

Cited by 28 publications

References 7 publications

Hybrid Optimization Algorithm to Solve the Nonconvex Multiarea Economic Dispatch Problem

Hybrid Optimization Algorithm to Solve the Nonconvex Multiarea Economic Dispatch Problem

Review on application and comparison of metaheuristic techniques to multi-area economic dispatch problem

Multi-area Environmental Economic Dispatch with Reserve Constraints Using Enhanced Particle Swarm Optimization

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