改进灰狼优化算法天然气余压发电参数优化OA

For natural gas residual pressure power gen-eration systems under high pressure differential ratio conditions,the multi-stage expansion power generation mode is generally adopted.However,improper selec-tion of intermediate pressure and fluctuations in the nature gas inlet pressure can reduce the efficiency of residual pressure power generation,and even compro-mise the stability of the power generation system.To address this,a parameter optimization method for natu-ral gas residual pressure power generation under high pressure differential ratio conditions based on a.multi-strategy improved Grey Wolf Optimizer(GWO)algorithm is proposed.Based on actual cases,under steady-state operating conditions,the optimization errors for two-stage and three-stage expansion are only 0.041 W and 30 W,respectively,verifying the method's effectiveness.Furthermore,simulation experiments were conducted under variable operating conditions using the proposed algorithm;the errors of two-stage expansion under the original process and the changed operating conditions are only 0.053 W and 0.000 55 W respectively,and those of three-stage expansion are only 3.7 W and 7.8 W respectively,which confirms that the proposed algorithm has strong adaptability to operating conditions.Overall,the proposed multi-strategy improved GWO-based parameter optimi-zation method yields small optimization errors under both steady-state and variable operating conditions,demonstrating excellent effectiveness and robust adapt-ability.