A new intelligence solution for power system economic load dispatch

Affijulla, Shaik; Chauhan, Sushil

doi:10.1109/eeeic.2011.5874614

Cited by 15 publications

(2 citation statements)

References 11 publications

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“…Few other methods like tabulation search are applied to solve to solve the problem. Artificial neural network [5] are also used to solve the optimization problem. However many people applied the swarm behavior to the problem of optimum dispatch as well as unit commitment problem are general purpose; however, they have randomness.…”

Section: Economic Load Dispatchmentioning

confidence: 99%

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Machavarapu¹,

Rao²,

Hanumaiah³

et al. 2016

ijeei

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Economic load dispatch is the process of allocating the required load demand between the available generators in power system while satisfying all units and system equality and inequality constraints. Economic Load Dispatch solutions are found by solving the conventional methods such as lambda iteration, Gradient search method, Linear Programming and Dynamic Programming while at the same minimizing fuel costs, but convergence is too slow, so in order to get fast convergence and accurate results we are using artificial neural network. Artificial neural network is well-known in the area of power systems. It is a very powerful solution algorithm because of its rapid convergence near the solution. This property is especially useful for power system applications because an initial guess near the solution is easily attained. In this paper a three generator system is considered and by using lambda iteration method Economic Load Dispatch is determined and 150 patterns for different loads will be derived from same method to train neural network. As it is too slow method, we proposed a soft computing based approach i.e. Back Propagation Neural Network (BPNN) for determining the optimal flow. This method provides fast and accurate results when compared with the conventional method.

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Section: Economic Load Dispatchmentioning

confidence: 99%

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Machavarapu¹,

Rao²,

Hanumaiah³

et al. 2016

ijeei

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show abstract

“…ere exist a number of problems which lead to excessive cost maintenance, such as insufficient maintenance, poor reliability, wasting of resources, and increasing maintenance costs. erefore, operation and maintenance dispatch has become the core problem of an intelligent operation system of PV plants [8,9]. Operation and maintenance assignment is essentially an extension of the assignment problem.…”

Section: Introductionmentioning

confidence: 99%

Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions

Hua

Kuang²,

2020

Complexity

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With the rapid increase in the photovoltaic (PV) plants, the real-time operation and maintenance of photovoltaic power generation equipment is very important. The maintenance and dispatching of decentralized power stations is still one of the key issues affecting the operation safety of photovoltaic power stations. However, most of the photovoltaic power stations in China fail to rationally optimize the utilization of resources and time. The current study puts forward effort implementation via genetic algorithm-based multiconstrained optimization methodology. The proposed study optimally overrides the traditional PV plant operation and maintenance dispatching operations with automation and reliability. The proposed study is also applicable to multiple PV plants, multiple maintainers, multipoint departure, different dispatching conditions, and cost considerations. We propose an MOOA algorithm to solve this issue, and we strongly believe that, by defining a suitable fitness function, the convergence speed and optimization ability can be greatly improved, and this study puts a forward step.

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Solution of unit commitment problem using gravitational search algorithm

Roy¹

2013

International Journal of Electrical Power & Energy Systems

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A new intelligence solution for power system economic load dispatch

Cited by 15 publications

References 11 publications

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Solution of Economic Load Dispatch problem in Power System using Lambda Iteration and Back Propagation Neural Network Methods

Maintenance and Operation Optimization Algorithm of PV Plants under Multiconstraint Conditions

Solution of unit commitment problem using gravitational search algorithm

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