A security-constrained flexible demand scheduling strategy for wind power accommodation-Reference-Cited by-同舟云学术

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A security-constrained flexible demand scheduling strategy for wind power accommodation

Published:2015-09-07 Issue:6 Volume:26 Page:1171-1183
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int. Trans. Electr. Energ. Syst.

Author:

Xie Jun¹,Wang Ke²,Feng Donghan³,Zeng Dan²,Li Yaping²,Yue Dong¹

Affiliation:

1. College of Automation; Nanjing University of Posts and Telecommunications; Nanjing 210023 Jiangsu Province China

2. China Electric Power Research Institute; Nanjing 210037 Jiangsu Province China

3. Department of Electrical Engineering; Shanghai Jiaotong University; Shanghai 200240 China

Funder

State Grid Corporation of China

National Science Foundation of China

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference23 articles.

1. Recent methodologies and approaches for the economic dispatch of generation in power systems;Ciornei;International Transactions on Electrical Energy Systems,2013

2. Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: a case study of Illinois;Botterud;IEEE Transactions on Sustainable Energy,2013

3. Decentralized participation of flexible demand in electricity markets: Part I. Market mechanism;Papadaskalopoulos;IEEE Transactions on Power Systems,2013

4. SCUC with hourly demand response considering inter temporal load characteristics;Khodaei;IEEE Transactions on Smart Grid,2011

5. Dynamic demand response controller based on real-time retail price for residential buildings;Ji;IEEE Transactions on Smart Grid,2014

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1. Accommodation capacity evaluation of renewable energy in power systems considering peak and frequency regulation;Frontiers in Energy Research;2023-01-16

2. A zonal optimization solution to reliability security constraint unit commitment with wind uncertainty;Computers and Electrical Engineering;2022-04

3. A novel two-stage optimization method for the reliability based security constraints unit commitment in presence of wind units;Cleaner Engineering and Technology;2021-10

4. Investigation of power‐based day‐ahead electricity market in terms of inducing fake ramp demand, assuring real‐time compatibility, support for flexibility, and providing some solutions;International Transactions on Electrical Energy Systems;2021-09-03

5. Evaluation Method of Wind Power Consumption Capacity Based on Multi-Fractal Theory;Frontiers in Energy Research;2021-03-23

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