Wind-thermal dynamic economic emission dispatch with a hybrid multi-objective algorithm based on wind speed statistical analysis

Based on the analysis on the uncertain nature of wind power output, the Weibull distribution parameters of regional wind speed at different periods are calculated to obtain the probability density function (PDF) and the cumulative distribution function (CDF) of the wind power. The spinning reserve (...

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Vydáno v:IET generation, transmission & distribution Ročník 12; číslo 17; s. 3972 - 3984
Hlavní autoři: Liu, Gang, Zhu, Yong Li, Jiang, Wei
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 30.09.2018
Témata:
CDF
cumulative distribution function
differential evolution
dynamic economic emission dispatch
evolutionary computation
hybrid multiobjective algorithm
Pareto dominance theory
Pareto optimisation
particle swarm optimisation
particle swarm optimisation algorithm
performance indicators
power generation dispatch
power generation economics
probability density function
PSO algorithm
regional wind speed
Research Article
spinning reserve requirements
SR requirements
statistical analysis
Weibull distribution
Weibull distribution parameters
wind power
wind power incorporation
wind power output
wind power plants
wind speed statistical analysis
wind‐thermal dynamic economic emission dispatch
Weibull distribution parameters
spinning reserve requirements
particle swarm optimisation
CDF
dynamic economic emission dispatch
PSO algorithm
Pareto dominance theory
regional wind speed
power generation economics
wind power incorporation
wind-thermal dynamic economic emission dispatch
Weibull distribution
wind power plants
probability density function
Pareto optimisation
particle swarm optimisation algorithm
wind power output
SR requirements
differential evolution
evolutionary computation
power generation dispatch
wind power
performance indicators
hybrid multiobjective algorithm
cumulative distribution function
statistical analysis
wind speed statistical analysis
ISSN:1751-8687, 1751-8695
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Popis
Shrnutí:Based on the analysis on the uncertain nature of wind power output, the Weibull distribution parameters of regional wind speed at different periods are calculated to obtain the probability density function (PDF) and the cumulative distribution function (CDF) of the wind power. The spinning reserve (SR) requirements for wind power incorporation are determined according to the obtained PDF and CDF, and by converting the wind power into a chance constrained form, a model for dynamic economic emission dispatch with wind power is constructed. A hybrid multi-objective algorithm that integrates differential evolution (DE) and particle swarm optimisation (PSO) algorithm is put forward to solve the proposed model. The algorithm is implemented based on the Pareto dominance theory and a dynamic external archive set, and fully exploits the advantages of DE and PSO. An improved calculation method of crowding distance and Pareto solution set reduction rule are also employed to enhance the performance of the proposed algorithm. Also, three performance indicators are introduced to evaluate the performance of the algorithm. Two distinct test systems are performed to verify the proposed model and algorithm, and the results show that they are effective and reasonable.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.5364