Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach

Robust Approach ◽

Expansion Planning ◽

Assessing the impact of inertia and reactive power constraints in generation expansion planning

Applied Energy ◽

10.1016/j.apenergy.2020.115925 ◽

2020 ◽

Vol 280 ◽

pp. 115925

Author(s):

S. Wogrin ◽

D. Tejada-Arango ◽

S. Delikaraoglou ◽

A. Botterud

Keyword(s):

Reactive Power ◽

Expansion Planning ◽

Power Constraints ◽

Generation Expansion ◽

The Impact

A Multi-Objective Generation Expansion Planning with Modeling Load Demand Uncertainty by a Deep Learning- Based Approach

2020 10th Smart Grid Conference (SGC) ◽

10.1109/sgc52076.2020.9335769 ◽

2020 ◽

Author(s):

Farzin Ghasemi Olanlari ◽

Saleh Sadeghi Gougheri ◽

Amirhossein Nikoofard

Keyword(s):

Deep Learning ◽

Demand Uncertainty ◽

Multi Objective ◽

Expansion Planning ◽

Generation Expansion ◽

Load Demand

Study on generation expansion planning evaluation method based on envelope optimization model

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/645/1/012077 ◽

2021 ◽

Vol 645 ◽

pp. 012077

Author(s):

ZHOU Maowen ◽

CHEN Jin ◽

WU Zhengsheng ◽

Wan hangyu

Keyword(s):

Optimization Model ◽

Evaluation Method ◽

Expansion Planning ◽

Impact of high solar and wind penetrations and different reliability targets on dynamic operating reserves in electricity generation expansion planning

The Electricity Journal ◽

10.1016/j.tej.2021.106934 ◽

2021 ◽

Vol 34 (4) ◽

pp. 106934

Author(s):

Yusak Tanoto ◽

Iain MacGill ◽

Anna Bruce ◽

Navid Haghdadi

Keyword(s):

Electricity Generation ◽

Expansion Planning ◽

Generation Expansion ◽

Dynamic Operating

Integrating Expert Systems with Dynamic Programming in Generation Expansion Planning

IEEE Power Engineering Review ◽

10.1109/mper.1989.4310900 ◽

1989 ◽

Vol 9 (8) ◽

pp. 54-55 ◽

Cited By ~ 1

Author(s):

A. K. David ◽

Zhao Rong-da

Keyword(s):

Dynamic Programming ◽

Expert Systems ◽

Expansion Planning ◽

Generation expansion planning in a pool based electricity market, using game theory and genetic algorithm

20th Iranian Conference on Electrical Engineering (ICEE2012) ◽

10.1109/iraniancee.2012.6292414 ◽

2012 ◽

Cited By ~ 3

Author(s):

Amir Mo'meni zadeh pandasi ◽

G. R. Yousefi

Keyword(s):

Genetic Algorithm ◽

Game Theory ◽

Electricity Market ◽

Expansion Planning ◽

A New Efficient GA-Benders' Decomposition Method: For Power Generation Expansion Planning With Emission Controls

IEEE Transactions on Power Systems ◽

10.1109/tpwrs.2007.901092 ◽

2007 ◽

Vol 22 (3) ◽

pp. 1092-1100 ◽

Cited By ~ 102

Author(s):

Jiraporn Sirikum ◽

Anulark Techanitisawad ◽

Voratas Kachitvichyanukul

Keyword(s):

Power Generation ◽

Decomposition Method ◽

Benders Decomposition ◽

Power Generation Expansion Planning

Expansion Planning ◽

Generation Expansion ◽

Emission Controls ◽

The flexible rolling schedule for infinite-horizon optimality in generation expansion planning

IEEE Transactions on Power Systems ◽

10.1109/59.207332 ◽

1992 ◽

Vol 7 (3) ◽

pp. 1182-1188 ◽

Cited By ~ 6

Author(s):

T.P. Hadjicostas ◽

R.N. Adams

Keyword(s):

Infinite Horizon ◽

Rolling Schedule ◽

Expansion Planning ◽

Flexible Rolling ◽

Background on Generation Expansion Planning

10.1002/9781119819042.ch2 ◽

2021 ◽

pp. 15-19

Keyword(s):

Expansion Planning ◽

A Generation Expansion Planning Method for Power Systems With Large-scale New Energy

10.1109/icicta51737.2020.00142 ◽

2020 ◽

Author(s):

Huifen Chen ◽

Wang Feng ◽

Xu Yizheng ◽

Wang Xiangxu

Keyword(s):

Power Systems ◽

Large Scale ◽

Planning Method ◽

Expansion Planning ◽

Generation Expansion ◽

New Energy