中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
34期
6119-6126
,共8页
周任军%李绍金%陈瑞先%李红英%杨雨薇%陈云
週任軍%李紹金%陳瑞先%李紅英%楊雨薇%陳雲
주임군%리소금%진서선%리홍영%양우미%진운
冷热电联供%碳排放权交易%碳排放配额%场景集%模糊自修正粒子群算法
冷熱電聯供%碳排放權交易%碳排放配額%場景集%模糊自脩正粒子群算法
랭열전련공%탄배방권교역%탄배방배액%장경집%모호자수정입자군산법
combined cool and heat and power (CCHP)%carbon emissions trading%carbon emission quotas%scenarios set%fuzzy self-correction particle swarm optimization (FS-PSO)
随着碳排放配额和交易机制的推进,CO2排放不再只是以固定形式作为环境惩罚成本来考虑,其排放权也可用于买卖交易,其交易价格由市场主导。为了综合考虑碳排放对冷热电联供系统的影响,引入碳排放权交易成本函数,建立考虑碳交易成本、燃料成本、环境成本的冷热电联供系统低碳调度多目标优化模型。提出一种模糊自修正粒子群算法求解此优化问题,通过利用模糊推理机制建立粒子适应度值隶属度函数,使得每次寻优过程中粒子可以充分根据自身当前适应度隶属度函数值来修正惯性权重的取值,进一步改善早熟的缺陷,增强全局搜索能力。算例分析结果表明,在保证系统负荷需求的前提下,考虑碳排放权交易成本后可有效控制 CO2排放总量和获取额外的收益,进而降低联供系统的综合运行成本。
隨著碳排放配額和交易機製的推進,CO2排放不再隻是以固定形式作為環境懲罰成本來攷慮,其排放權也可用于買賣交易,其交易價格由市場主導。為瞭綜閤攷慮碳排放對冷熱電聯供繫統的影響,引入碳排放權交易成本函數,建立攷慮碳交易成本、燃料成本、環境成本的冷熱電聯供繫統低碳調度多目標優化模型。提齣一種模糊自脩正粒子群算法求解此優化問題,通過利用模糊推理機製建立粒子適應度值隸屬度函數,使得每次尋優過程中粒子可以充分根據自身噹前適應度隸屬度函數值來脩正慣性權重的取值,進一步改善早熟的缺陷,增彊全跼搜索能力。算例分析結果錶明,在保證繫統負荷需求的前提下,攷慮碳排放權交易成本後可有效控製 CO2排放總量和穫取額外的收益,進而降低聯供繫統的綜閤運行成本。
수착탄배방배액화교역궤제적추진,CO2배방불재지시이고정형식작위배경징벌성본래고필,기배방권야가용우매매교역,기교역개격유시장주도。위료종합고필탄배방대랭열전련공계통적영향,인입탄배방권교역성본함수,건립고필탄교역성본、연료성본、배경성본적랭열전련공계통저탄조도다목표우화모형。제출일충모호자수정입자군산법구해차우화문제,통과이용모호추리궤제건립입자괄응도치대속도함수,사득매차심우과정중입자가이충분근거자신당전괄응도대속도함수치래수정관성권중적취치,진일보개선조숙적결함,증강전국수색능력。산례분석결과표명,재보증계통부하수구적전제하,고필탄배방권교역성본후가유효공제 CO2배방총량화획취액외적수익,진이강저련공계통적종합운행성본。
With the advancement of carbon emissions quotas and trading mechanism, CO2 emissions have been no longer just in the form fixed as the environment punishment cost. Its emission rights can also be used for transactions, and the transaction prices have been dominated by market. To consider carbon emissions influence on combined cool and heat and power (CCHP), a carbon emissions trading cost function was introduced, and a CCHP low carbon dispatching multi-objective optimization model was established, which considered the carbon trading cost, fuel cost and environmental cost. A fuzzy self-correction particle swarm optimization (FS-PSO) algorithm was proposed to solve this optimization problem. A membership function that responds to the own fitness of particles was established by using the fuzzy reasoning mechanism. The value of inertia weight was modified by the current membership function value of the particle fitness during optimization, which can improve particle precocity defect and enhance its global searching ability. On the premise of guaranteeing system load demand, the analysis results show that the model can control the CO2 emissions effectively and get additional earnings and reduce the integrated operation cost of CCHP.