采用模糊自修正粒子群算法的碳排放权交易冷热电多目标调度  

Combined Cool and Heat and Power Multi-objective Scheduling Considering Carbon Emissions Trading Using Algorithm of Fuzzy Self-correction Particle Swarm Optimization

作　　者：周任军[1] 李绍金[1] 陈瑞先 李红英[1] 杨雨薇[2] 陈云 

机构地区：[1]智能电网运行与控制湖南省重点实验室(长沙理工大学),湖南省长沙市410114 [2]湖南省电力公司培训中心,湖南省长沙市410131 [3]江西省上饶市供电公司,江西省上饶市334000

出　　处：《中国电机工程学报》2014年第34期6119-6126,共8页Proceedings of the CSEE

基　　金：国家自然科学基金项目(51277016);湖南省高校创新平台开放基金项目(12K074)~~

摘　　要：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。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.

关 键 词：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 

分 类 号：TM73[电气工程—电力系统及自动化]