TY - GEN
T1 - Economic dispatch of multi microgrid systems with renewable energy sources using particle swarm optimization
AU - Firdaus,
AU - Umar,
AU - Penangsang, Ontoseno
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/20
Y1 - 2017/1/20
N2 - This paper uses particle swarm optimization (PSO) to develop modified economic dispatch of multi microgrid (MMG) system with renewable energy sources. MMG system consists of several microgrids, microgrids with generator sets and microgrids with renewable energy sources. Combination of several microgrids into MMG system can minimize the use of generator sets or traditional generator and maximize the use of microgrid with renewable energy sources. The participations of those two types of microgrids are calculated based on their characteristics. The proposed method considers the microgrid as a power source or a load. This economic scheduling model is performed interactively between the generator set and microgrid. The objective of this paper is to minimize the operating costs of MMG system. The simulation results show that operating costs with and without MG renewable energy sources are 100233.8 USD and 101677.1 USD respectively. Total cost savings is 1443.3 USD.
AB - This paper uses particle swarm optimization (PSO) to develop modified economic dispatch of multi microgrid (MMG) system with renewable energy sources. MMG system consists of several microgrids, microgrids with generator sets and microgrids with renewable energy sources. Combination of several microgrids into MMG system can minimize the use of generator sets or traditional generator and maximize the use of microgrid with renewable energy sources. The participations of those two types of microgrids are calculated based on their characteristics. The proposed method considers the microgrid as a power source or a load. This economic scheduling model is performed interactively between the generator set and microgrid. The objective of this paper is to minimize the operating costs of MMG system. The simulation results show that operating costs with and without MG renewable energy sources are 100233.8 USD and 101677.1 USD respectively. Total cost savings is 1443.3 USD.
KW - economic dispatch
KW - multi microgrid
KW - particle swarm optimization
KW - renewable energy sources
UR - http://www.scopus.com/inward/record.url?scp=85016712436&partnerID=8YFLogxK
U2 - 10.1109/ISITIA.2016.7828727
DO - 10.1109/ISITIA.2016.7828727
M3 - Conference contribution
AN - SCOPUS:85016712436
T3 - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016: Recent Trends in Intelligent Computational Technologies for Sustainable Energy
SP - 595
EP - 600
BT - Proceeding - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 International Seminar on Intelligent Technology and Its Application, ISITIA 2016
Y2 - 28 July 2016 through 30 July 2016
ER -
