Modified penalty function method for optimal social welfare of electric power supply chain with transmission constraints-Reference-Cited by-同舟云学术

Modified penalty function method for optimal social welfare of electric power supply chain with transmission constraints

Published:2014-05 Issue: Volume:57 Page:90-96
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Chen Meng-Jen,Hsu Yi-Fan,Wu Yu-Chi

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference30 articles.

1. Tacit collusion games in pool-based electricity markets under transmission constraints;Liu;Math Prog,2013

2. Solving mixed strategy Nash-Cournot equilibria under generation and transmission constraints in electricity market;Lee;J Elect Eng Technol,2013

3. Optimal rescheduling of generators for congestion management and benefit maximization in a decentralized bilateral multi-transactions power network;Singh;Int J Emerg Electr Power Syst,2013

4. Transmission congestion management in electricity market restructured and increases the social welfare on the system IEEE 14-bus;Fard;Aust J Basic Appl Sci,2011

5. Efficient and optimal approach for location and parameter setting of multiple unified power flow controllers for a deregulated power sector;Tiwari;IET Gener Transm Distrib,2012

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