TITLE

An Improved FCM Algorithm Based on Subtractive Clustering for Power Load Classification

AUTHOR(S)
Rui Dong; Mingxiang Huang
PUB. DATE
July 2014
SOURCE
Advanced Materials Research;2014, Vol. 986-987, p206
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
FCM is used in many power load classification currently, but it also has some shortcomings. This paper give an algorithm based on Subtractive Clustering and improved Fuzzy C-means Clustering (SUB-FCM) to solve this problem. This algorithm use subtractive clustering to initialize the cluster center matrix, solve the random initialization of FCM, and improve the global search ability, avoid falling into local optima. Experimental analysis found this algorithm also could accelerate the convergence speed, and has better clustering results. It can be applied to power load classification effectively.
ACCESSION #
99581888

 

Related Articles

  • Modeling and simulation of grid-connected photovoltaic system based on PSCAD. Xiansui Han; Qihui Liu // Advanced Materials Research;2014, Vol. 986-987, p367 

    In order to investigate the impacts of large scale PV power plants on the stability of power system, dynamic PV models are of particular interest to the industry for simulating large-scale power systems. The transient model of large scale grid-connected PV generation system was given based on...

  • Line Vulnerability Assessment on Power Grid Based on Combination Weighing Method. ZENG Xin; CHEN Yanzhen; YANG Qi; MIAO Miao; REN Jianwen; LI Xuanxuan // Advanced Materials Research;2014, Vol. 986-987, p349 

    To study the mechanism of cascading failures in a power grid and find out the key vulnerable lines propagating cascading failures, entropy theory and analysis hierarchy process were applied in entropy-weighted fuzzy comprehensive evaluation model, and information of objective data and the...

  • Medium and Long Term Load Forecasting of Power System Based on Interval Taylor Model Arithmetic. ZHENG Zhijie; WANG Shouxiang; WANG Yan; ZHAO Long; Zhang Jie // Advanced Materials Research;2014, Vol. 986-987, p354 

    For long time span, the impact of many factors, uncertainties and other characteristics of mid-long term load forecasting, as well as the over-estimation of interval arithmetic, a mid-long term load forecasting method based on interval Taylor model algorithm was presented. In order to avoid...

  • Research on Power System Stochastic Economic Dispatch Considering Interruptible Load and Wind Power. Xiaoyi MA; Wei WEI // Advanced Materials Research;2014, Vol. 986-987, p493 

    Interruptible load was an important measure for demand response which can effectively implement the interaction between grid side and demand side. It's also the important feature and component of smart grid. This paper established a stochastic economic dispatch model which brought both...

  • Short-term Load Forecasting Based on GA-Elman Model. Wenxia YOU; Junxiao CHANG; Ziheng ZHOU; Ji LU // Advanced Materials Research;2014, Vol. 986-987, p520 

    Elman Neural Network is a typical neural-network which shares the characteristics of multiple-layer and dynamic recurrent, and it's more suitable than BP Neural Network when it's applied to forecast the short-term load with periodicity and similarity. To solve the problem that Elman Neural...

  • Research on electricity load of three industries and residents' life Zhichao RENa, Kaijiang CAOb Research on electricity load of three industries and residents' life Zhichao RENa, Kaijiang CAOb. Zhichao REN; Kaijiang CAO // Advanced Materials Research;2014, Vol. 986-987, p474 

    In recent years, strategic adjustment of economic structure is as the main direction of accelerating transformation of economic development mode in Sichuan province of China. Electricity load characteristics and its development trend could reflect industries' structure of Sichuan province. The...

  • Assessment of regional transmission connection capacity based on two novel indices. Güverçinci, Ali Haydar; Göl, Murat // IET Generation, Transmission & Distribution;2018, Vol. 12 Issue 14, p3470 

    In deregulated market environments, transmission system expansion planning becomes a troublesome task as transmission system operators lose their direct control over plant investments. Moreover, the increase in the share of renewable sources in electricity generation creates an uncertainty about...

  • A Research Summary on Combined Peaking Load Strategies of Nuclear Power Plant. Tao Zhang; Xiaodong Ma; Yu Zhu; Gang Wang; Peng Ye // Advanced Materials Research;2014, Vol. 986-987, p196 

    Based on extensive research, introduced the peak load regulation characteristics and capacity of different nuclear power plant (NPP) in this paper. The running mode of NPP participating in peak load regulation of power system, combined operation tactics of NPP with other peaking power source and...

  • Research on Combined Peak Load Regulation with Hydropower, Thermal Power and Nuclear Power Plants. Gang Wang; Xiaodong Ma; Chao Wang; Peng Ye // Advanced Materials Research;2014, Vol. 986-987, p465 

    Base on Nuclear Power Plant (NPP) participating in peak load regulation of power grid, this paper studies the operation mode of hydropower, thermal power and NPP in Combined Peak Load Regulation. The optimization model for Peaking depth of NPP was set up. The case based on actual power grid were...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics