Parallel dependable multi-population differential evolutionary particle swarm optimization for on-line optimal operational planning of energy plants

Dependable Multi-population Improved Brain Storm Optimization with Differential Evolution for Optimal Operational Planning of Energy Plants

“…[1][2][3][4][5][6][7][8][9][10][11][12] In the optimal operation of energy plants in factories, it is necessary to determine the start and stop of each machine and the input and output at start-up. Energy plants are composed of various types of equipment such as gas turbines, boilers, and steam absorption refrigerators, and turbo refrigerators.…”

“…In a past study, 10 we proposed a dependable system based on MP-DEEPSO, but there is still room for improvement in terms of dependability. One way to speed up the calculations is to introduce parallel and distributed processing.…”

“…To date, research into optimal operation based on factory energy management systems (FEMS) and building energy management systems (BEMS) has been carried out. [1][2][3][4][5][6][7][8][9][10][11][12] In the optimal operation of energy plants in factories, it is necessary to determine the start and stop of each machine and the input and output at start-up. It is also necessary to consider both linear and nonlinear machine characteristics.…”

“…Examples thereof include particle swarm optimization (PSO), differential evolutionary PSO (DEEPSO), multipopulation DEEPSO (MP-DEEPSO), and the newly developed brain storm optimization (BSO). [4][5][6][7][8][9][10][11][12] However, there is still room to improve the solution quality.…”

“…Moreover, even in cases in which there is no response from some of the processes, the system must be dependable, maintain suitable quality of the solutions, and be capable of continuously executing the online optimal operation planning computations. In a past study, 10 we proposed a dependable system based on MP-DEEPSO, but there is still room for improvement in terms of dependability.…”