首页|基于非支配排序蜣螂算法的综合能源系统优化调度

基于非支配排序蜣螂算法的综合能源系统优化调度

扫码查看
为加快推动工业园区实施能源效率提升与绿色转型,充分考虑工业园区用能及降碳需求,构建了一种考虑阶梯式碳交易机制、冷热电联供机组及电转气运行的综合能源系统低碳经济调度模型.首先,对工业园区内各设备构建数学模型并引入阶梯式碳交易机制限制工业园区碳排放;其次,建立以工业园区综合能源系统运行成本和碳交易成本最小为目标的优化调度策略;最后,使用非支配排序的蜣螂算法对模型进行优化求解.仿真结果表明:所提模型进一步降低了碳交易成本及系统运行成本.
Integrated energy optimal scheduling based on the non-dominated sorting dung beetle algorithm
In order to accelerate the implementation of energy efficiency improvement and green transformation in the park,and taking into full consideration of the park's energy consumption and carbon reduction needs,a low-carbon and economic schedu-ling model of the integrated energy system that takes into account the stepped carbon trading mechanism,the operation of com-bined cooling,heating,and power units,and power-to-gas operation is constructed.Firstly,a mathematical model is constructed for each piece of equipment in the park and the stepped carbon trading mechanism is introduced to limit the carbon emissions in the park;secondly,an optimal scheduling strategy is established with the objectives of minimizing the operating cost of the integrated energy system and the cost of carbon trading in the park;and lastly,a dung-beetle algorithm with non-dominated ordering is used to solve the model optimally.The simulation results show that the proposed model further reduces the carbon trading cost and sys-tem operation cost.

integrated energy systemladdered carbon tradingdung beetle algorithmcombined cooling,heating and power unit

张凤洋、魏立明、刘旭、王楷硕、赵信淳、赵升旭

展开 >

吉林建筑大学,吉林 长春 130118

国华(乾安)风电有限公司,吉林 松原 131400

综合能源系统 阶梯式碳交易 蜣螂算法 冷热电联产机组

2024

技术与市场
四川省科技信息研究所

技术与市场

影响因子:0.566
ISSN:1006-8554
年,卷(期):2024.31(9)
  • 11