面向“碳中和”能源互联网的风光储联动配置算法  被引量:19

Wind-solar-storage Linkage Configuration Algorithm on Carbon Neutral Energy Internet

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作  者:王汝英[1] 魏伟[1] 闫松[1] 董建强[1] 刘万龙[1] 张立[1] WANG Ruying;WEI Wei;YAN Song;DONG Jianqiang;LIU Wanlong;ZHANG Li(Tianjin Richsoft Electric Power Information Technology Co.,Ltd.,Tianjin 300384,China)

机构地区:[1]天津市普迅电力信息技术有限公司,天津300384

出  处:《电力电容器与无功补偿》2021年第4期73-81,共9页Power Capacitor & Reactive Power Compensation

基  金:国网信通产业集团两级协同研发项目(SGITG-LJXTYF-2018-4-1)。

摘  要:我国提出了争取在2060年前实现“碳中和”的目标。为实现该目标,以新能源和可再生能源为主体的能源互联网建设必不可少。合理地配置风光储设施,可以使设备的使用率最大化,同时满足碳中和的需求。文中提出了一种碳中和场景下的能源互联网配置方法。该方法首先对风能、光伏和储能分别建模,确认出力的计算公式和约束条件。然后进行能源可靠性研究,确定满足负荷需求的风光储配置方程,计算得出所有的可行解,然后利用迭代的思路,对解进行优化。最后,将碳经济性约束条件纳入考虑因素,得出净现值最低的最优解。文中以天津中新生态城气象数据为依据,对算法的有效性和结果进行了验证,并与常见的粒子群算法、禁忌搜索进行了比较。实验表明,本文算法有更快的计算速度和更高的收敛精度。The goal of striving for"carbon neutrality"by 2060 is proposed in China.For this purpose,the construction of energy internet with new and renewable energy as the main body is essential.Reasonable allocation of wind and solar energy storage facilities can maximize the utilization rate of equipment and,at the same time,meet the demand of carbon neutral.In this paper,a kind of energy internet configuration method under carbon neutral scenario is proposed.Firstly,the wind energy,photovoltaic and energy storage are modeled respectively to confirm the output calculation formula and constraints.Then,the reliability research of the energy is carried out to determine the wind-solar-storage configuration equation meeting the load demand.All the feasible solutions are calculated,and then the solution is optimized by using the idea of iteration.Finally,the carbon economy constraints are taken into account and the optimal solution with the lowest net present value is obtained.In his paper,the meteorological data of Tianjin Sino-Singapore Eco-city is taken as the base,the effectiveness and results of the algorithm are verified and compared with the common particle swarm optimization algorithm as well as tableu search algorithm.The Experiment shows that the algorithm in this paper has faster calculation speed and higher convergence accuracy.

关 键 词:碳中和 能源互联网 储能优化 电力供应损失概率 总净现值碳成本 

分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]

 

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