摘要
迄今为止,风能、太阳能等新能源作为可再生能源,在生成电能方面是清洁无污染的,但在电网运行过程中却与温室气体(GHG)的排放息息相关。因此,介绍了一种新型的独立混合新能源-电池系统尺寸优化方法,最大限度地降低了平准化能源成本(LCOE)、能源损耗率(LPSP)和等效二氧化碳(CO_(2))排放量。以预期光伏峰值功率、风力发电机输出功率、电池能量容量为决策变量,以单位用电量所含二氧化碳为约束,采用精英非主导排序遗传算法(NSGA-II)求解了这一约束性非线性多目标优化问题,并对系统的不同组合进行优化和比较,以确定经济高效、可靠环保的最佳架构。最后,对所提出的算法进行了灵敏度分析,仿真结果验证了所提方法在实现经济、能源和环境目标方面的有效性。
So far,new energy sources such as wind and solar,as renewable energy sources,are clean and pollution-free in generating electricity,but they are closely related to greenhouse gas(GHG)emissions in the process of power grid operation.Therefore,this paper introduces a novel independent hybrid new energy-battery system size optimization method,which minimizes the normalized energy cost(LCOE),energy loss rate(LPSP)and equivalent carbon dioxide(CO_(2))emissions.Based on the expected peak power photovoltaic,wind generator output power,battery energy capacity of decision variables,unit power consumption contains carbon dioxide as constraint,using the non-dominant elite sorting genetic algorithm(NSGA II)solving the nonlinear multiobjective optimization problem of the binding,and different combination of system optimization and comparison,To determine the best cost-effective,reliable and environmentally friendly framework.Finally,the sensitivity analysis of the proposed algorithm is carried out,and the simulation results demonstrate the effectiveness of the proposed method in achieving economic,energy and environmental objectives.
作者
张斌
施惟
徐新宇
李国庆
尤洋
步允千
ZHANG Bin;SHI Wei;XU Xinyu;LI Guoqing;YOU Yang;BU Yunqian(State Grid xinjiang electric power Co.,Ltd.,Urumqi 830000,China;Beijing QU Creative Technology Co.,Ltd.,Beijing,100102,China)
出处
《自动化与仪器仪表》
2023年第8期75-78,共4页
Automation & Instrumentation
基金
国网新疆电力有限公司管理咨询项目“碳达峰目标下新疆电网新能源消纳评估机制研究”(8130HQ21N001)。
