节点文献
基于改进TOPSIS的风电并网友好特性评价方法
Evaluation Method for Grid-friendly Characteristics of Wind Power Integration Based on Improved TOPSIS
【摘要】 合理评价风电场并网友好特性是电网功率平衡和调度计划工作的前提。为此提出了一种风电并网友好特性的评价指标体系与方法。首先,构建包含风资源特性、风电出力特性和电网交互特性3个维度的风电并网友好特性评价指标体系,其中在描述风电出力特性波动性方面提出了波动点、波动密度和波动幅度均值等3个指标来描述风电出力的波动性。其次,设计了一种基于逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS)并考虑指标间协调性的改进算法,在传统TOPSIS评价算法的基础上引入灰色关联系数和信息熵进行综合评价。然后,运用G1主观赋权法和改进CRITIC客观赋权法结合的方式对各个指标使用最小离差的方法进行组合赋权。最后以多个风电场为例设置仿真算例,对各个风电场的特性进行综合评分并排序,通过对风电的研究和评估,可以为风电产业规划提供科学依据。
【Abstract】 Reasonable evaluation of the grid-connected characteristics of wind farms is a prerequisite for grid power balance and dispatch planning.In this re-gard,an evaluation index system and method for the grid-connected characteristics of wind power are proposed.Firstly,a three-dimensional evalua-tion index system of wind power grid-connected characteristics is constructed,which includes wind resource characteristics,wind power output characteristics and grid interaction characteristics,among which three indexes,such as fluctuation point,fluctuation density and fluctuation amplitude mean,are proposed to characterize the fluctuation of wind power output.Secondly,an improved algorithm based on the technique for order prefer-ence by similarity to ideal solution (TOPSIS) and considering the coordination between the indicators is designed,and the gray correlation coefficient and information entropy are introduced on the basis of the traditional TOPSIS evaluation algorithm to carry out a comprehensive evaluation.Evalua-tion.Then,the combination of G1 subjective weighting method and improved CRITIC objective weighting method is used to combine the weights of each indicator using the method of minimum deviation.Finally,a simulation example is set up with several wind farms,and the characteristics of each wind farm are comprehensively scored and ranked,which can provide a scientific basis for the planning of wind power industry through the research and evaluation of wind power.
【Key words】 evaluation indicators; TOPSIS; portfolio empowerment; grid-connected wind power;
- 【文献出处】 全球能源互联网 ,Journal of Global Energy Interconnection , 编辑部邮箱 ,2025年05期
- 【分类号】TM614
- 【下载频次】91