TY - GEN
T1 - On stochastic optimal bidding strategy for microgrids
AU - Yang, Qingyu
AU - An, Dou
AU - Yu, Wei
AU - Yang, Xinyu
AU - Fu, Xinwen
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/17
Y1 - 2016/2/17
N2 - In this paper, we addressed the issue of a stochastic optimal bidding problem for a system with microgrids (MGs). The optimal bidding problem is formulated as a two-stage stochastic programming process, which aims to minimize the system operation cost and to expand energy interactions among local MGs that are geographically close. Uncertainties come from both energy supply and demand sides (e.g., wind, solar, and load demand) are considered in the stochastic model and random parameters to represent those uncertainties are captured by using the Monte Carlo method. To enable an optimal electricity trading between local MGs, we presented two bidding schemes: (i) Cournot equilibrium based Dynamic Backtrack Energy Trading (DBET), and (ii) double auction based Dual Decomposition Auction (DDA). Experimental results on an IEEE-33 bus based system with MGs were presented to show the effectiveness of our proposed schemes. Experimental results show that our proposed bidding schemes can reduce the operation cost of the system, while the DDA scheme achieves better performance in terms of system social welfare than the DBET scheme.
AB - In this paper, we addressed the issue of a stochastic optimal bidding problem for a system with microgrids (MGs). The optimal bidding problem is formulated as a two-stage stochastic programming process, which aims to minimize the system operation cost and to expand energy interactions among local MGs that are geographically close. Uncertainties come from both energy supply and demand sides (e.g., wind, solar, and load demand) are considered in the stochastic model and random parameters to represent those uncertainties are captured by using the Monte Carlo method. To enable an optimal electricity trading between local MGs, we presented two bidding schemes: (i) Cournot equilibrium based Dynamic Backtrack Energy Trading (DBET), and (ii) double auction based Dual Decomposition Auction (DDA). Experimental results on an IEEE-33 bus based system with MGs were presented to show the effectiveness of our proposed schemes. Experimental results show that our proposed bidding schemes can reduce the operation cost of the system, while the DDA scheme achieves better performance in terms of system social welfare than the DBET scheme.
KW - Microgrids
KW - biding
KW - double auction
KW - stochastic programming
KW - uncertainties
UR - https://www.scopus.com/pages/publications/84969941271
U2 - 10.1109/PCCC.2015.7410289
DO - 10.1109/PCCC.2015.7410289
M3 - 会议稿件
AN - SCOPUS:84969941271
T3 - 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015
BT - 2015 IEEE 34th International Performance Computing and Communications Conference, IPCCC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 34th IEEE International Performance Computing and Communications Conference, IPCCC 2015
Y2 - 14 December 2015 through 16 December 2015
ER -