A comparison of automation techniques for optimization of compressor scheduling

Optimization of a network of compressors in parallel: Real Time Optimization (RTO) of compressors in chemical plants – An industrial case study

“…The multi-period optimal operation of compressors (considering solution for more than one time period) includes (1) pipeline optimization with a fixed number of operating compressors [20,23,24] and (2) optimal selection (or scheduling) of compressors [25][26][27].…”

Energy and exergy recovery in a natural gas compressor station – A technical and economic analysis

“…Osiadacz [4] formulated the problem of fuel cost minimization and studied the optimal load distribution between multiple compressor units of a compressor station supplied with motor-compressors. Nguyen et al [5] analyzed automation techniques for optimum compressor scheduling for a case study system including two CSs equipped with five compressor units of various type. The optimum operation should provide minimum total cost, which consists of the cost of fuel, maintenance, start-up and shut-down cost components and the cost of over-supply (unnecessary operation above the demand).…”

Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review

“…Almost all related comparisons show that stochastic optimization algorithms not only are able to find similar solutions in comparison to the gradientbased methods but also have higher computation efficiency than traditional deterministic algorithms [20,23,27,49]. For example, Nguyen et al [72,73] simultaneously optimized the fuel cost, maintenance cost, startup cost, shut cost, and oversupply cost of all compressors by use of the mixedinteger linear programming (MILP), the expert system (ES), and the original GA provided in the MATLAB toolbox. Based on their research findings, MILP and GA give exactly the same results for the costs except for the startup cost, for which GA gives a slightly higher result.…”