The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Adalah diketahui umum bahawa akses besar-besaran kuasa angin kepada sistem kuasa akan menjejaskan objektif ekonomi dan alam sekitar penjadualan penjanaan kuasa, dan juga membawa cabaran baharu kepada penjadualan penjanaan kuasa deterministik tradisional kerana intermittency dan rawak kuasa angin. . Untuk menangani masalah ini, kaedah penghantaran pengoptimuman multiobjektif sistem kuasa terma angin dicadangkan. Kaedah ini boleh diterangkan seperti berikut: Model penjadualan penjanaan kuasa selang pelbagai objektif sistem kuasa terma angin pertama kali diwujudkan dengan menerangkan kelajuan angin di ladang angin sebagai pembolehubah selang, dan meminimumkan kos bahan api dan kos pelepasan gas pencemaran haba. unit kuasa dipilih sebagai fungsi objektif. Dan kemudian, sempadan Pareto yang optimis dan pesimis bagi penjadualan penjanaan kuasa selang berbilang objektif diperoleh dengan menggunakan kaedah persimpangan sempadan normal yang dipertingkatkan dengan persimpangan sempadan biasa (NBI) yang digabungkan dengan kaedah pengoptimuman dua peringkat untuk menyelesaikan model. Akhirnya, penyelesaian kompromi optimistik dan pesimis ditentukan oleh kaedah penilaian jarak jauh. Keputusan pengiraan sistem 16-unit 174-bas menunjukkan bahawa dengan kaedah yang dicadangkan, sempadan Pareto yang optimis dan pesimis yang seragam boleh diperolehi, analisis kesan ketidakpastian selang kelajuan angin ke atas penunjuk ekonomi dan alam sekitar boleh dikira. Di samping itu, ia telah disahkan bahawa hadapan Pareto dalam senario sebenar diedarkan antara hadapan Pareto optimistik dan pesimis, dan pengaruh tahap akses kuasa angin yang berbeza pada hadapan Pareto optimistik dan pesimis dianalisis.
Xiaoxuan GUO
Guangxi University,Guangxi Power Grid Corporation
Renxi GONG
Guangxi University
Haibo BAO
Guangxi Power Grid Corporation
Zhenkun LU
Guangxi University for Nationalities
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Salinan
Xiaoxuan GUO, Renxi GONG, Haibo BAO, Zhenkun LU, "A Multiobjective Optimization Dispatch Method of Wind-Thermal Power System" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 12, pp. 2549-2558, December 2020, doi: 10.1587/transinf.2020EDP7146.
Abstract: It is well known that the large-scale access of wind power to the power system will affect the economic and environmental objectives of power generation scheduling, and also bring new challenges to the traditional deterministic power generation scheduling because of the intermittency and randomness of wind power. In order to deal with these problems, a multiobjective optimization dispatch method of wind-thermal power system is proposed. The method can be described as follows: A multiobjective interval power generation scheduling model of wind-thermal power system is firstly established by describing the wind speed on wind farm as an interval variable, and the minimization of fuel cost and pollution gas emission cost of thermal power unit is chosen as the objective functions. And then, the optimistic and pessimistic Pareto frontiers of the multi-objective interval power generation scheduling are obtained by utilizing an improved normal boundary intersection method with a normal boundary intersection (NBI) combining with a bilevel optimization method to solve the model. Finally, the optimistic and pessimistic compromise solutions is determined by a distance evaluation method. The calculation results of the 16-unit 174-bus system show that by the proposed method, a uniform optimistic and pessimistic Pareto frontier can be obtained, the analysis of the impact of wind speed interval uncertainty on the economic and environmental indicators can be quantified. In addition, it has been verified that the Pareto front in the actual scenario is distributed between the optimistic and pessimistic Pareto front, and the influence of different wind power access levels on the optimistic and pessimistic Pareto fronts is analyzed.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDP7146/_p
Salinan
@ARTICLE{e103-d_12_2549,
author={Xiaoxuan GUO, Renxi GONG, Haibo BAO, Zhenkun LU, },
journal={IEICE TRANSACTIONS on Information},
title={A Multiobjective Optimization Dispatch Method of Wind-Thermal Power System},
year={2020},
volume={E103-D},
number={12},
pages={2549-2558},
abstract={It is well known that the large-scale access of wind power to the power system will affect the economic and environmental objectives of power generation scheduling, and also bring new challenges to the traditional deterministic power generation scheduling because of the intermittency and randomness of wind power. In order to deal with these problems, a multiobjective optimization dispatch method of wind-thermal power system is proposed. The method can be described as follows: A multiobjective interval power generation scheduling model of wind-thermal power system is firstly established by describing the wind speed on wind farm as an interval variable, and the minimization of fuel cost and pollution gas emission cost of thermal power unit is chosen as the objective functions. And then, the optimistic and pessimistic Pareto frontiers of the multi-objective interval power generation scheduling are obtained by utilizing an improved normal boundary intersection method with a normal boundary intersection (NBI) combining with a bilevel optimization method to solve the model. Finally, the optimistic and pessimistic compromise solutions is determined by a distance evaluation method. The calculation results of the 16-unit 174-bus system show that by the proposed method, a uniform optimistic and pessimistic Pareto frontier can be obtained, the analysis of the impact of wind speed interval uncertainty on the economic and environmental indicators can be quantified. In addition, it has been verified that the Pareto front in the actual scenario is distributed between the optimistic and pessimistic Pareto front, and the influence of different wind power access levels on the optimistic and pessimistic Pareto fronts is analyzed.},
keywords={},
doi={10.1587/transinf.2020EDP7146},
ISSN={1745-1361},
month={December},}
Salinan
TY - JOUR
TI - A Multiobjective Optimization Dispatch Method of Wind-Thermal Power System
T2 - IEICE TRANSACTIONS on Information
SP - 2549
EP - 2558
AU - Xiaoxuan GUO
AU - Renxi GONG
AU - Haibo BAO
AU - Zhenkun LU
PY - 2020
DO - 10.1587/transinf.2020EDP7146
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2020
AB - It is well known that the large-scale access of wind power to the power system will affect the economic and environmental objectives of power generation scheduling, and also bring new challenges to the traditional deterministic power generation scheduling because of the intermittency and randomness of wind power. In order to deal with these problems, a multiobjective optimization dispatch method of wind-thermal power system is proposed. The method can be described as follows: A multiobjective interval power generation scheduling model of wind-thermal power system is firstly established by describing the wind speed on wind farm as an interval variable, and the minimization of fuel cost and pollution gas emission cost of thermal power unit is chosen as the objective functions. And then, the optimistic and pessimistic Pareto frontiers of the multi-objective interval power generation scheduling are obtained by utilizing an improved normal boundary intersection method with a normal boundary intersection (NBI) combining with a bilevel optimization method to solve the model. Finally, the optimistic and pessimistic compromise solutions is determined by a distance evaluation method. The calculation results of the 16-unit 174-bus system show that by the proposed method, a uniform optimistic and pessimistic Pareto frontier can be obtained, the analysis of the impact of wind speed interval uncertainty on the economic and environmental indicators can be quantified. In addition, it has been verified that the Pareto front in the actual scenario is distributed between the optimistic and pessimistic Pareto front, and the influence of different wind power access levels on the optimistic and pessimistic Pareto fronts is analyzed.
ER -