热力发电
熱力髮電
열력발전
Thermal Power Generation
2015年
10期
68-71,76
,共5页
热工过程%参数辨识%逐维黄金分割法%坐标轮换法%粒子群优化算法%风煤比%过氧量
熱工過程%參數辨識%逐維黃金分割法%坐標輪換法%粒子群優化算法%風煤比%過氧量
열공과정%삼수변식%축유황금분할법%좌표륜환법%입자군우화산법%풍매비%과양량
thermal process%parameter identification%dimension-by-dimension golden section method%coor-dinate alternation method%particle swarm algorithm%air to coal ratio%excess oxygen content
针对基于群体智能算法的热工过程参数辨识存在随机性强、收敛慢、耗时长的不足，提出了一种快速辨识方法。在仿真验证辨识目标函数随各个参数变化呈单峰性后，将黄金分割法与坐标轮换法相结合，形成逐维黄金分割法，并通过选取最优初始点和提高寻优精度等方法对其进行改进；基于现场数据分别采用粒子群优化算法、逐维黄金分割法及其改进算法对风煤比-过氧量模型的过程参数进行了辨识比较。结果表明，改进后的逐维黄金分割法在快速性、精确性上明显优于粒子群算法和逐维黄金分割法，其更适合于热工过程参数的在线辨识，从而为热工控制系统调节参数的在线快速优化提供条件。
針對基于群體智能算法的熱工過程參數辨識存在隨機性彊、收斂慢、耗時長的不足，提齣瞭一種快速辨識方法。在倣真驗證辨識目標函數隨各箇參數變化呈單峰性後，將黃金分割法與坐標輪換法相結閤，形成逐維黃金分割法，併通過選取最優初始點和提高尋優精度等方法對其進行改進；基于現場數據分彆採用粒子群優化算法、逐維黃金分割法及其改進算法對風煤比-過氧量模型的過程參數進行瞭辨識比較。結果錶明，改進後的逐維黃金分割法在快速性、精確性上明顯優于粒子群算法和逐維黃金分割法，其更適閤于熱工過程參數的在線辨識，從而為熱工控製繫統調節參數的在線快速優化提供條件。
침대기우군체지능산법적열공과정삼수변식존재수궤성강、수렴만、모시장적불족，제출료일충쾌속변식방법。재방진험증변식목표함수수각개삼수변화정단봉성후，장황금분할법여좌표륜환법상결합，형성축유황금분할법，병통과선취최우초시점화제고심우정도등방법대기진행개진；기우현장수거분별채용입자군우화산법、축유황금분할법급기개진산법대풍매비-과양량모형적과정삼수진행료변식비교。결과표명，개진후적축유황금분할법재쾌속성、정학성상명현우우입자군산법화축유황금분할법，기경괄합우열공과정삼수적재선변식，종이위열공공제계통조절삼수적재선쾌속우화제공조건。
The thermal process parameters identification by swarm intelligence algorithm has disadvantages of strong randomness,slow convergence and time-consuming.Against this problem,this paper proposes a quick identification method.First of all,simulation was carried out to verify that the identification problem's target function shows unimodal characteristics to each parameter.Then,combing the golden section method with coordinate alternation method,the author proposed the dimension-by-dimension golden section method,and improved it by selecting the optimal initial point and enhancing the optimization accuracy.Fi-nally,on the basis of the field tests data,the particle swarm optimization (PSO)algorithm,dimension-by-dimension golden section method and its improved method were applied to identify the process parameters of air/coal ratio and excess oxygen content model.The results show that,the improved dimension-by-di-mension golden section method is superior to the other two methods in quickness and accuracy,which is more suitable for online identification of the thermal process parameters,so it provides the conditions for adj usting parameters'online optimization in thermal control system.
