Economic dispatch in a power system considering environmental pollution using a multi-objective particle swarm optimization algorithm based on the Pareto criterion and fuzzy logic
01 Jun 2017-international journal of energy and environmental engineering (Springer Berlin Heidelberg)-Vol. 8, Iss: 2, pp 99-107
TL;DR: In this article, a multi-objective particle swarm optimization algorithm is proposed to solve the economic dispatch problem in power systems while considering environmental pollution, which is validated in terms of its accuracy and convergence speed based on comparisons with the results obtained using the classic nonlinear programming method.
Abstract: In recent years, many studies have studied economic dispatch problem in power systems. However, most of them have not considered the environmental pollution caused by fossil fuels. In this study, the use of an evolutionary search algorithm
called multi-objective particle swarm optimization algorithm is proposed to solve the economic dispatch problem in power systems while considering environmental pollution. The proposed method is validated in terms of its accuracy and convergence speed based on comparisons with the results obtained using the classic nonlinear programming method. The proposed strategy is applied to a realistic power system under various conditions. Overall, six generating units are investigated along the corresponding constraints. The results obtained reveal that costs of operation and pollution with/without power loss are reduced significantly by the proposed approach. Obtained results show a good compromise can be established between two contradicting functions of exploitation cost and pollution by optimizing them simultaneously. Values of these function without considering their loss is 46,112.09 $/h and 682.32 kg/h, respectively. And if losses are considered, these values would be 48,381.09 $/h and 726.52 kg/h, respectively.
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References
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TL;DR: This paper presents a general formulation of the environmentally constrained economic dispatch problem based on the requirements of Clean Air Act Amendments of 1990 and others which may be imposed by local air quality regulations and proposes a new algorithm to solve the problem for large power systems.
Abstract: This paper presents a general formulation of the environmentally constrained economic dispatch (ECED) problem based on the requirements of Clean Air Act Amendments of 1990 and others which may be imposed by local air quality regulations. The formulation considers multiple NO/sub x/ constraints and incorporates the utilization of the affected units (those named in the legislation) along with SO/sub 2/ constraints. It also proposes a new algorithm to solve the problem for large power systems. This algorithm has the ability to handle a large number of various types of linear and nonlinear environmental constraints. It is reliable, and viable for both offline and online applications. Test results on a large size power system demonstrate the possible savings which can be realized by using the algorithm. Details of the problem formulation and the solution technique are given in the paper. >
234 citations
TL;DR: In this article, a novel multiobjective optimization method for economic emission load dispatch of fixed head hydro plants and thermal plants with nonsmooth fuel cost and emission level functions is presented.
187 citations
01 Jan 1994
TL;DR: In this paper, a maiden attempt was made to explore the feasibility of developing an approach to solve the economic emission load dispatch (EELD) problem with line flow constraints using a classical technique based on co-ordination equations.
Abstract: A maiden attempt is made to explore the feasibility of developing an approach to solve the economic emission load dispatch (EELD) problem with line flow constraints using a classical technique based on co-ordination equations. The inability of the classical technique to handle the line flow constraints so far is circumvented innovatively by expressing the line flows in terms of active power generations through distribution factors. These distribution factors are elegantly developed from existing load flow information using a perturbation technique
184 citations
01 Jan 1994
TL;DR: The inability of the classical technique to handle the line flow constraints so far is circumvented innovatively by expressing the line flows in terms of active power generations through distribution factors that are elegantly developed from existing load flow information using a perturbation technique.
Abstract: An attempt is made to explore the feasibility of developing an approach to solve the power system economic emission load dispatch (EELD) problem with line flow constraints using a classical technique based on co-ordination equations. The inability of the classical technique to handle the line flow constraints so far is circumvented innovatively by expressing the line flows in terms of active power generations through distribution factors. These distribution factors are elegantly developed from existing load flow information using a perturbation technique. The proposed model based on the classical technique for EELD is tested on IEEE 14- and 30-bus test systems and the results are compared with those obtained by quadratic programming, the Hessian method, the Ricochet gradient method and the linear programming method.
177 citations
TL;DR: In this paper, a modified quantum-behaved particle swarm optimization (QPSO) was proposed for short-term combined economic emission scheduling (CEES) of hydrothermal power systems with several equality and inequality constraints.
108 citations