Environmentally constrained economic dispatch using the LaGrangian relaxation method

El-Keib, A.A.; Ma, H.; Hart, Jonathan

doi:10.1109/59.331423

Cited by 214 publications

(64 citation statements)

References 8 publications

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“…Presently, natural behaviors and mechanisms become more attracting topics as previous works with numerous discussions for searching suitable models and understanding the natural phenomenon [1], [4]- [6], [9]- [10], [12], [14], [17]- [19]. In this section, thunderstorm mechanisms are adopted as an inspiration to construct TA presented in several stages and procedures.…”

Section: Thunderstorm Algorithmmentioning

confidence: 99%

“…This function is continued to adopt pollutant productions at thermal power units at the same duration as the impact of the environmental requirement to decline emissions in the air [7]- [9], [14]- [15]. In detail, this function uses a penalty factor to convert the emission production into a financial function and a weighting factor to take a portion of contributions on the ELD.…”

mentioning

confidence: 99%

“…Focused on these limitations, the environmental requirement is included in the operation especially at thermal power plants for reducing pollutants [1]- [4]. Moreover, pollutants are measured in an emission standard for decreasing and controlling various gaseous materials in air, such as CO; CO 2 ; SO x ; and NO x [4]- [9]. In particular, technical limitations are also used to put desired power outputs in a scheduled permitted portion at generating units and power transfers at the lines in order to control and monitor the operation.…”

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confidence: 99%

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Over Rate Emission Coefficient and Thunderstorm Algorithm for Dynamic Economic Dispatch

A.N¹,

Hermawan²,

Winarno³

2017

IJET

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Abstract-Since environmental requirements have penetrated the power system, its operation needs to consider the fossil burning together with reducing running charges of the fuel consumption.Technically, atmospheric emissions should be controlled economically at thermal power plants for 24 hours associated with a dynamic economic dispatch (DED). Thunderstorm algorithm (TA) is used to solve the DED problem considered an over rate emission coefficient applied to IEEE-62 bus system as a tested model. Moreover, this work also uses technical and environmental requirements of the operation. Simulation results show that TA can be used to obtain the optimal solution. The computational speed is performed in a smooth characteristic while searching the solution of the DED, which is carried out in hourly results.Keyword-Dynamic Dispatch, Emission Coefficient, Power System, Thunderstorm Algorithm I. INTRODUCTION In general, power system operations are imposed in generation sections; transmission sections; distribution sections; and load sections, for conveying energy from generating sites to usage areas under a certain condition. Technically, these systems are operated using various strategies to exist generating units and to control power delivery processes. In addition, these processes are also operated to produce energy within a suitable power sharing for each power plant. In detail, the operation is conducted to technical and environmental constraints while distributing power outputs to load centres. Focused on these limitations, the environmental requirement is included in the operation especially at thermal power plants for reducing pollutants [1]- [4]. Moreover, pollutants are measured in an emission standard for decreasing and controlling various gaseous materials in air, such as CO; CO 2 ; SO x ; and NO x [4]- [9]. In particular, technical limitations are also used to put desired power outputs in a scheduled permitted portion at generating units and power transfers at the lines in order to control and monitor the operation. In fact, the existed power system spends a certain budget for the energy production and infrastructure maintenance associated with generation sections; transmission sections; distribution sections. Financially, power plants take a role for this contribution spent in the fuel procurement at the all period time operation. Recently, it becomes one of the most important problems in the power system operation to reduce the technical cost through unit commitments. By considering this condition, the cost optimization is a significant case to obtain the best schedule and to meet the load demand under operational limitations belonged to equality and inequality constraints for the 24 hours operationTo treat the whole operation for 24 hours, the power system operation becomes complex problems managed using economical cost strategies to provide electric energy and to match operational limitations. These strategies are used to select a better decision considered the minimum total operating cost as an economic ...

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Section: Thunderstorm Algorithmmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Over Rate Emission Coefficient and Thunderstorm Algorithm for Dynamic Economic Dispatch

A.N¹,

Hermawan²,

Winarno³

2017

IJET

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“…In particular, many mathematical and optimization techniques have been proposed to solve the problems and several previous works have been successfully applied to carry out real problems [1], [2], [3]. Other studies have also reported many techniques for obtaining the optimal solution categorized into classical methods and evolutionary methods [4], [5], [6], [7], [8], [9]. In general, evolutionary methods are consisted of many algorithms based on natural entity behaviors which are adopted as optimization methods for improving performances of classical techniques.…”

Section: Introductionmentioning

confidence: 99%

Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem

2015

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“…Conventional methods such as lamda iteration method, gradient based method [1] are used to solve the ELD problem by changing the fuel cost curve in a piecewise linear function or monotonically increasing function. These methods ignore the portion of incremental cost curve that are not continuous or monotonically increasing.…”

Section: Introductionmentioning

confidence: 99%

Modified Shuffled Frog Leaping Algorithm for Solving Economic Load Dispatch Problem

Roy¹,

Chakrabarti²

2011

EPE

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In the recent restructured power system scenario and complex market strategy, operation at absolute minimum cost is no longer the only criterion for dispatching electric power. The economic load dispatch (ELD) problem which accounts for minimization of both generations cost and power loss is itself a multiple conflicting objective function problem. In this paper, a modified shuffled frog-leaping algorithm (MSFLA), which is an improved version of memetic algorithm, is proposed for solving the ELD problem. It is a relatively new evolutionary method where local search is applied during the evolutionary cycle. The idea of memetic algorithm comes from memes, which unlike genes can adapt themselves. The performance of MSFLA has been shown more efficient than traditional evolutionary algorithms for such type of ELD problem. The application and validity of the proposed algorithm are demonstrated for IEEE 30 bus test system as well as a practical power network of 203 bus 264 lines 23 machines system.

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Environmentally constrained economic dispatch using the LaGrangian relaxation method

Cited by 214 publications

References 8 publications

Over Rate Emission Coefficient and Thunderstorm Algorithm for Dynamic Economic Dispatch

Over Rate Emission Coefficient and Thunderstorm Algorithm for Dynamic Economic Dispatch

Comparing Performances of Evolutionary Algorithms on the Emission Dispatch and Economic Dispatch Problem

Modified Shuffled Frog Leaping Algorithm for Solving Economic Load Dispatch Problem

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