TY - JOUR
T1 - Optimal energy management for smart grid system considering battery characteristics
AU - Mukai, Tatsuya
AU - Igari, Shunsuke
AU - Namerikawa, Toru
N1 - Publisher Copyright:
© 2014 The Institute of Electrical Engineers of Japan.
PY - 2014
Y1 - 2014
N2 - In this paper, the optimal energy management considering battery characteristics for smart grid and micro grid systems is discussed. The energy storage system is very important for the energy peak shift and peak cut for micro grid and smart grid system because of these backgrounds. However, optimal battery formulation and energy management to suppress by using expensive energy storage system and considering battery characteristics are still in a developmental stage. First, the optimal battery placement for smart grid system with Lithium-ion battery is dealt with for lifetime extending. The battery choice index for this optimal battery determination problem to formulate optimal energy management is discussed. Second, the smart grid system with distributed battery system for grid frequency control considering distributed control and battery characteristics is dealt with. Optimal controllers for each distributed battery systems are designed to reduce battery load and to expend battery lifetime are designed. The effectiveness of the proposed method is shown via simulations by comparing with conventional methods.
AB - In this paper, the optimal energy management considering battery characteristics for smart grid and micro grid systems is discussed. The energy storage system is very important for the energy peak shift and peak cut for micro grid and smart grid system because of these backgrounds. However, optimal battery formulation and energy management to suppress by using expensive energy storage system and considering battery characteristics are still in a developmental stage. First, the optimal battery placement for smart grid system with Lithium-ion battery is dealt with for lifetime extending. The battery choice index for this optimal battery determination problem to formulate optimal energy management is discussed. Second, the smart grid system with distributed battery system for grid frequency control considering distributed control and battery characteristics is dealt with. Optimal controllers for each distributed battery systems are designed to reduce battery load and to expend battery lifetime are designed. The effectiveness of the proposed method is shown via simulations by comparing with conventional methods.
KW - Battery characteristics
KW - Depth of discharge
KW - Optimal energy management
KW - Smart grid
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U2 - 10.1541/ieejeiss.134.1862
DO - 10.1541/ieejeiss.134.1862
M3 - Article
AN - SCOPUS:84916607390
SN - 0385-4221
VL - 134
SP - 1862
EP - 1868
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
IS - 12
ER -
