冶金能源
冶金能源
야금능원
Energy for Metallurgical Industry
2015年
5期
3-5,18
,共4页
动力配煤%模型%环境%不确定性%遗传算法
動力配煤%模型%環境%不確定性%遺傳算法
동력배매%모형%배경%불학정성%유전산법
coal blending model%environment%uncertainty%genetic algorithm
文章建立了一个基于遗传算法的动力配煤规划模型。该模型可以通过引入污染控制措施来确保受影响区域的空气污染物浓度满足环境要求和维持人体健康的空气质量水平，同时确保动力配煤的总成本最小化。该模型应用于北京市某供暖公司和某热电公司的动力配煤规划，运算结果准确、可靠。结果表明，该模型可以有效地控制空气污染物的排放水平，为决策者提供可行的动力配煤方案，并最终实现系统成本的最小化。
文章建立瞭一箇基于遺傳算法的動力配煤規劃模型。該模型可以通過引入汙染控製措施來確保受影響區域的空氣汙染物濃度滿足環境要求和維持人體健康的空氣質量水平，同時確保動力配煤的總成本最小化。該模型應用于北京市某供暖公司和某熱電公司的動力配煤規劃，運算結果準確、可靠。結果錶明，該模型可以有效地控製空氣汙染物的排放水平，為決策者提供可行的動力配煤方案，併最終實現繫統成本的最小化。
문장건립료일개기우유전산법적동력배매규화모형。해모형가이통과인입오염공제조시래학보수영향구역적공기오염물농도만족배경요구화유지인체건강적공기질량수평，동시학보동력배매적총성본최소화。해모형응용우북경시모공난공사화모열전공사적동력배매규화，운산결과준학、가고。결과표명，해모형가이유효지공제공기오염물적배방수평，위결책자제공가행적동력배매방안，병최종실현계통성본적최소화。
A genetic algorithm programming model ( GAPM) for supporting the coal blending under uncertainty was developed .GAPM model could not only control air pollutants to satisfy the overall en-vironmental regulation and guarantee a healthy air quality level , but also tackle coal blending problems under uncertainty .The developed model was applied to handle the coal blending problem sourced from the heating company and power plant of city , Beijing.The obtained results demonstrated that GAPM was suitable in controlling air pollution , providing desired coal blending strategies for decision maker , as well as minimizing total system cost .
