With implementation of demonstrative projects on storage device assisting thermal power units with automatic control generation(AGC)in power grid

extensive attention is drawn by research on storage optimal configuration. However

it is difficult to reach a balance between technicality and economy for battery energy storage system(BESS)applied in such case. Aiming at this issue

firstly

this paper builds a double-layer model. The first layer

named as operation layer

is set to minimize both equivalent life loss of BESS and bias electricity for optimal operation

while the second layer

named as economy layer

is built to maximize annual benefit under Kp reimbursement. Secondly

a nested algorithm of self-adaptive global harmony search and multiple objects particle swarm optimization(SGHS-MOPSO)algorithm is constructed to solve this model. Finally

based on operation data of a 1 000 MW-rated unit

capacity configuration results of BESS are optimized by simulation calculation and the feasibility and validity of the proposed method are verified by comparing indicators both in technology and economy.