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
전력 시스템에 대한 대규모 풍력 발전의 접근은 발전 계획의 경제적 및 환경적 목표에 영향을 미칠 것이며, 풍력 발전의 간헐성과 무작위성으로 인해 기존의 결정론적 발전 계획에 새로운 과제를 안겨준다는 것은 잘 알려져 있습니다. . 이러한 문제를 해결하기 위해 풍력-화력 발전 시스템의 다목적 최적화 급전 방법이 제안된다. 그 방법은 다음과 같이 설명할 수 있다. 먼저 풍력발전단지의 풍속을 구간변수로 기술하고, 화력발전소의 연료비 및 오염가스 배출비용을 최소화함으로써 풍력-화력 발전 시스템의 다목적 구간 발전 스케줄링 모델을 구축한다. 전력 단위가 목적 함수로 선택됩니다. 그런 다음 모델을 해결하기 위해 이중 레벨 최적화 방법과 결합된 NBI(Normal Boundary Intersection)와 개선된 Normal Boundary Intersection 방법을 활용하여 다목적 간격 발전 스케줄링의 낙관적 및 비관적 파레토 프론티어를 얻습니다. 마지막으로 거리평가방법에 따라 낙관적 절충안과 비관적 절충안을 결정한다. 16유닛 174버스 시스템의 계산 결과는 제안된 방법을 통해 균일한 낙관적 및 비관적 파레토 프론티어를 얻을 수 있으며, 풍속 간격 불확실성이 경제 및 환경 지표에 미치는 영향 분석을 정량화할 수 있음을 보여줍니다. 또한, 실제 시나리오의 파레토 전선이 낙관적 파레토 전선과 비관적 파레토 전선 사이에 분포되어 있음을 검증하고, 다양한 풍력 접근 수준이 낙관적 파레토 전선과 비관적 파레토 전선에 미치는 영향을 분석합니다.
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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부
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
부
@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},}
부
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 -