Economic emission dispatch for wind-fossil-fuel-based power system using chemical reaction optimisation

Roy, Provas Kumar; Hazra, Sunanda

doi:10.1002/etep.2033

Cited by 31 publications

(20 citation statements)

References 44 publications

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“…Similarly, the probability of the wind equals to the rated wind speed, w = w rated can be expressed by:

italicPr ({}, w = w_{rated}) = F_{v} ((), v_{o}) + ((), 1 - F_{v} ((), v_{r})) = italicexp ((), - {(\frac{v_{normalr}}{c})}^{k}) + italicexp ((), - {(\frac{v_{normalo}}{c})}^{k})

…”

Section: Methodologiesmentioning

confidence: 99%

Combined economic and emission dispatch considering conventional and wind power generating units

Hughes

et al. 2017

Int Trans Electr Energ Syst

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Summary Combined economic and emission dispatch (CEED) is an optimization solution to the short‐term demand and supply balancing in the power network. Given that wind power is playing an increasing role in the UK, this paper develops a CEED model for a combined conventional and wind power system under the UK energy policies. The proposed model aims to determine the optimal operation strategy for the given system with the consideration of wind power curtailment and reservation and also the environmental aspect, especially the carbon price of greenhouse gases (GHG) and emission limits of decarbonization scenarios. From 2 case studies, increasing the carbon price at a low emission limit leads to an increase in the total cost, but the rate of the increase is mitigated on decreasing the emission limits. Moreover, dispatch is dominated by the carbon price at high emission allowance levels and by the emission allowance at low emission allowances.

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“…Similarly, the probability of the wind equals to the rated wind speed, w = w rated can be expressed by:

italicPr ({}, w = w_{rated}) = F_{v} ((), v_{o}) + ((), 1 - F_{v} ((), v_{r})) = italicexp ((), - {(\frac{v_{normalr}}{c})}^{k}) + italicexp ((), - {(\frac{v_{normalo}}{c})}^{k})

…”

Section: Methodologiesmentioning

confidence: 99%

Combined economic and emission dispatch considering conventional and wind power generating units

Hughes

et al. 2017

Int Trans Electr Energ Syst

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“…For example, in Figure , S2‐D2 is a line segment with the same demand. The sellers average total bidden cost at that demand is compared with price at S2. The least bidden cost dispatch formulation, mentioned in Section 2.7, is used when all the sellers cost functions are convex, and the corners are checked in descending order of the demand. The search stops when a feasible solution is obtained, and the searching space is updated by fixing the lower boundary at that demand. If some of the sellers' bidden cost functions are concave, the dispatch problem becomes a quasiconvex optimization problem, and the concave curve is approximated by its tangent line at the starting point. The search stops when no feasible solution can be obtained.…”

Section: Application Of Pvde Algorithm To Multiobjective Deregulated mentioning

confidence: 99%

“…STAGE 2 The members are evenly selected in the new searching space and checked in descending order of the demand. This searching round stops if a feasible solution is obtained. A new round begins in the modified searching space. If no feasible solution is obtained, PVDE algorithm is used to create the new members around the old members according to the deviation between the sellers' average total cost and the buyers' price at that particular demand. When no feasible solution is found in a given number of iterations, the search stops. In this stage, if all the sellers' bidden cost functions are convex, then the least bidden cost dispatch formulation is used, or else the concept of quasiconvex optimization problem is used. …”

Section: Application Of Pvde Algorithm To Multiobjective Deregulated mentioning

confidence: 99%

Population variant differential evolution-based multiobjective economic emission load dispatch

Swain¹,

Sarkar²,

Meher³

et al. 2017

Int Trans Electr Energ Syst

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Summary This paper presents a novel heuristic optimization approach using population variant differential evolution algorithm for solving the multiobjective economic emission load dispatch (EELD) problem. The EELD problem simultaneously takes into consideration the effect of gaseous pollutants like NOx, SOx, etc, including the cost of the fossil fuel used in the thermal power plants. A population refreshment mechanism, based on the concept of interquartile range, has been applied to the classical differential evolution method to compute the EELD problem successfully. The algorithm has been tested on IEEE‐30 bus 6‐generator test system and a standard 40‐generator test system, taking valve point loading effects into consideration for effective solutions. The results have been compared with the standard existing techniques in the literature such as linear programming, multiobjective stochastic search technique, nondominated sorting genetic algorithm, fuzzy clustering particle swarm optimization, and modified bacterial foraging algorithm, which authenticate the capability of the proposed algorithm. A novel concept of applying the proposed methodology to a deregulated power market has also been presented in this paper, where successful results have been obtained. This method appears as an efficient and robust optimization algorithm in terms of minimizing the total cost, emission, and computational time.

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“…Thus, an objective function for minimizing environmental pollution can be described by Eq. (2) [3,4]:…”

Section: Emission Functionmentioning

confidence: 99%

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

Taheri

Aghajani

Sedaghat

2017

Int J Energy Environ Eng

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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.

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Economic emission dispatch for wind-fossil-fuel-based power system using chemical reaction optimisation

Cited by 31 publications

References 44 publications

Combined economic and emission dispatch considering conventional and wind power generating units

Combined economic and emission dispatch considering conventional and wind power generating units

Population variant differential evolution-based multiobjective economic emission load dispatch

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

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