文献类型：期刊文献

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

作者：Liu, Gang Zhu, Yong Li Jiang, Wei

第一作者：刘刚;Liu, Gang

通信作者：Liu, G[1];Liu, G[2]

机构：[1]North China Elect Power Univ, Sch Elect & Elect Engn, Baoding 070013, Peoples R China;[2]Guizhou Inst Technol, Sch Elect & Informat Engn, Guiyang 550003, Guizhou, Peoples R China

第一机构：North China Elect Power Univ, Sch Elect & Elect Engn, Baoding 070013, Peoples R China

通信机构：corresponding author), North China Elect Power Univ, Sch Elect & Elect Engn, Baoding 070013, Peoples R China;corresponding author), Guizhou Inst Technol, Sch Elect & Informat Engn, Guiyang 550003, Guizhou, Peoples R China.|贵州理工学院;

年份：2018

卷号：12

期号：17

起止页码：3972-3984

外文期刊名：IET GENERATION TRANSMISSION & DISTRIBUTION

收录：;EI(收录号：20183905853993);Scopus(收录号：2-s2.0-85053617279);WOS:【SCI-EXPANDED(收录号:WOS:000444808100007)】；

语种：英文

外文关键词：Distribution functions - Particle swarm optimization (PSO) - Probability density function - Uncertainty analysis - Weibull distribution - Wind - Wind power

摘要：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.