TY - GEN
T1 - Evaluation of Wind Power Effects on Environmental/Economic Load Dispatch Problem by an Intelligent Algorithm
AU - Bagheri, Mehdi
AU - Lu, Maxim
AU - Abedinia, Oveis
AU - Naderi, Mohammad Salay
AU - Zaman Hosseini, Seyed
N1 - Funding Information:
The authors acknowledge financial support of this study by the Faculty Development Competitive Research Grant of Nazarbayev University (Project No. SOE2018018).
Publisher Copyright:
© 2018 IEEE.
PY - 2019/5/7
Y1 - 2019/5/7
N2 - Due to the increasing renewable energy sources penetration in the electric power systems and growing concerns about the environmental problems, power network operators attempt to evaluate the optimal economic dispatch of the units. This work proposes a new optimization algorithm named Environmental Economic Dispatch (EED), which aims to solve the multi-objective problem by evaluating wind power impacts on the power system. Thus, the penetration rate of the thermal and wind units will be balanced to minimize the costs. In order to demonstrate the capabilities of the proposed technique, different test scenarios have been considered. By comparing the results with the ones obtained using other techniques, the superiority and validity of the proposed technique is proven.
AB - Due to the increasing renewable energy sources penetration in the electric power systems and growing concerns about the environmental problems, power network operators attempt to evaluate the optimal economic dispatch of the units. This work proposes a new optimization algorithm named Environmental Economic Dispatch (EED), which aims to solve the multi-objective problem by evaluating wind power impacts on the power system. Thus, the penetration rate of the thermal and wind units will be balanced to minimize the costs. In order to demonstrate the capabilities of the proposed technique, different test scenarios have been considered. By comparing the results with the ones obtained using other techniques, the superiority and validity of the proposed technique is proven.
KW - Artificial bee colony
KW - EED
KW - Multi-objective problem
KW - Wind power
UR - http://www.scopus.com/inward/record.url?scp=85065893518&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065893518&partnerID=8YFLogxK
U2 - 10.1109/IICPE.2018.8709441
DO - 10.1109/IICPE.2018.8709441
M3 - Conference contribution
AN - SCOPUS:85065893518
T3 - India International Conference on Power Electronics, IICPE
BT - 8th IEEE India International Conference on Power Electronics, IICPE 2018
PB - IEEE Computer Society
T2 - 8th IEEE India International Conference on Power Electronics, IICPE 2018
Y2 - 13 December 2018 through 15 December 2018
ER -