TY - GEN
T1 - Optimal Energy Providing Strategy of Micro-Grid's Operator Based on a Game Theoretical Approach
AU - Dehghan, Shahab
AU - Khojasteh, Meysam
AU - Marzband, Mousa
AU - Lightbody, Gordon
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/6/22
Y1 - 2018/6/22
N2 - Operators of micro-grid as privately-owned sectors try to optimally determine their energy supply strategy aiming at maximizing their profits. Smart grid infrastructures enable residential consumers to modify their electricity consumption in response to energy prices. Clearly, increasing energy tariffs have positive impacts on the operator's profit. Additionally, sensitivity of consumption to selling prices leads to demand reduction by increasing energy tariffs. Therefore, operators of micro-grids retain a tradeoff between energy tariffs and demand. This paper presents a game theoretical approach for operators of micro-grids to supply the required energy of price-sensitive clients. Additionally, the information-gap decision theory (IGDT) is used to handle the financial risk arising from the uncertain wholesale prices. Simulation results justify the performance of the proposed approach.
AB - Operators of micro-grid as privately-owned sectors try to optimally determine their energy supply strategy aiming at maximizing their profits. Smart grid infrastructures enable residential consumers to modify their electricity consumption in response to energy prices. Clearly, increasing energy tariffs have positive impacts on the operator's profit. Additionally, sensitivity of consumption to selling prices leads to demand reduction by increasing energy tariffs. Therefore, operators of micro-grids retain a tradeoff between energy tariffs and demand. This paper presents a game theoretical approach for operators of micro-grids to supply the required energy of price-sensitive clients. Additionally, the information-gap decision theory (IGDT) is used to handle the financial risk arising from the uncertain wholesale prices. Simulation results justify the performance of the proposed approach.
UR - https://www.scopus.com/pages/publications/85050215426
U2 - 10.1109/CoDIT.2018.8394804
DO - 10.1109/CoDIT.2018.8394804
M3 - Conference proceeding
AN - SCOPUS:85050215426
T3 - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
SP - 104
EP - 109
BT - 2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Y2 - 10 April 2018 through 13 April 2018
ER -