Economic dispatch of combined cycle cogeneration plants with environmental constraints

Rifaat, Rasheek

doi:10.1109/empd.1998.705492

Cited by 19 publications

(11 citation statements)

References 8 publications

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“…The GA can be used for obtaining an optimal solution while dealing with the inequality constraints effectively. Rifaat [11] proposed a model proven theoretically achievable for combined cycle cogeneration plant based on Lagrangian and Kuhn-Tucker approach for optimization with typical plant environmental constraints. Tsay [12] used Enhanced Immune Algorithm (EIA) and improved GA to propose an operational strategy for cogeneration plants under a regulated market.…”

Section: The Economic Dispatch Strategy Analysis Algorithmmentioning

confidence: 99%

Application of artificial intelligence and non-intrusive energy-managing system to economic dispatch strategy for cogeneration system and utility

Chang

Lin

Weng

2009

2009 13th International Conference on Computer Supported Cooperative Work in Design

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This paper proposes that artificial intelligence techniques and non-intrusive energy-managing technology (NIEM) will effectively manage energy demands within economic dispatch strategy analysis for the cogeneration plant and power utility. To test the performance of the proposed approach, data sets for electrical loads in the factories were analyzed and established using an electromagnetic transient program (EMTP) and onsite load measurement. The artificial intelligence techniques were applied to data extraction and factory load identification, especially for nonintrusive energy management. The effectiveness of factory load identification was analyzed and compared using different classifier methods. The strategy analysis revealed that the analysis of economic dispatch strategy for the cogeneration plant and power utility in the way of energy demands using the NIEM can estimate reasonably energy contribution from the cogeneration plant and/or power utility, and further improve air pollution. The application of artificial intelligence can reduce greatly the computation time and the size of memory for factory load identification and energy calculation.

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Section: The Economic Dispatch Strategy Analysis Algorithmmentioning

confidence: 99%

Application of artificial intelligence and non-intrusive energy-managing system to economic dispatch strategy for cogeneration system and utility

Chang

Lin

Weng

2009

2009 13th International Conference on Computer Supported Cooperative Work in Design

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“…PSO also has fewer operators to adjust in the implementation, and it can be flexibly combined with other optimization techniques to build hybrid algorithms [4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…Particle swarm optimization is such a technique. We adopt PSO to handle the complexity and nonlinearity of the problem [4][5][6][7][8][9][10][11][12][13][14][15]. PSO has several key advantages over other existing optimization techniques in terms of simplicity, convergence speed, and robustness [4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Solving combined economic emission dispatch problem using time varying acceleration based PSO

Hamed

Mahdad

Srairi

et al. 2012

2012 11th International Conference on Environment and Electrical Engineering

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This paper presents a comparative study for multiobjective economic power dispatch considering emission using a new variant swarm optimization method, in the first stage the (EED) problem is solved without losses using a novel parameter automation strategy in which time varying acceleration coefficients (TVAC) are employed to efficiently control the local and global search, such a near global solution is achieved. When the optimal power generation vector has found the power flow based Newton-Raphson algorithm has been called to calculate the power transmission losses so the new optimal cost. The performance of this method has been compared and found to be superior compared to the results of classical (PSO) method in term of solution quality and convergence characteristic.

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“…A linear programming based optimization procedure was proposed in [9], where one objective is considered at a time. Rifaat [23] developed the model for economic dispatch of combined cycle cogeneration units considering environmental constraints and used nonlinear programming technique to handle it. Park et al [22] employed Hopfield neural networks to treat the economic dispatch problems with PQCF.…”

Section: Introductionmentioning

confidence: 99%

Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm

Wang

Singh

2007

Electric Power Systems Research

246

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Economic dispatch of combined cycle cogeneration plants with environmental constraints

Cited by 19 publications

References 8 publications

Application of artificial intelligence and non-intrusive energy-managing system to economic dispatch strategy for cogeneration system and utility

Application of artificial intelligence and non-intrusive energy-managing system to economic dispatch strategy for cogeneration system and utility

Solving combined economic emission dispatch problem using time varying acceleration based PSO

Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm

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