Dissertation > Excellent graduate degree dissertation topics show

Study on Power Generation Enterprise’ Bidding Strategies Based on Price Forecasting

Author: WangFang
Tutor: ZhangJianHua
School: North China Electric Power University (Beijing)
Course: Control Theory and Control Engineering
Keywords: Electricity Price Forecasting Entropy Batch Mode Cloud neural network
CLC: TM73
Type: Master's thesis
Year: 2011
Downloads: 57
Quote: 0
Read: Download Dissertation

Abstract


At present, the electric power industry undergoing profound changes in the worldwide . Improve the efficiency of electricity production , rationalization of the price formation mechanism , providing high-quality , safer power products to promote the benign development of the power industry , and society as a whole to get a better economic and social benefits from the reform of the electricity market reform of the electric power industry purposes. Power Industry is the development trend of the world 's electric power industry . Generating capacity of power generation companies in the electricity market conditions , is the main source of economic income , the size of the power generation enterprise revenue it reported in the vast extent depends on grid tariff . The tariff is the fulcrum of the electricity market , affecting the vital interests of each power plant . So , the electricity price forecast for the various participants in the electricity market have important electricity market has become an important part . This paper studies the bidding strategy in the new electricity market environment , power generation companies based on the forecast market clearing price . First , the analysis of the characteristics of the traditional BP neural network model , the traditional BP neural network model for the mean square error performance function can not be the problem of the statistical system of high-level information in the process of training the neural network based on the minimum error entropy price forecasting models and improve the electricity price forecast accuracy , and at the same time using a batch algorithm to improve the speed of electricity price forecast . Secondly , according to the tariff sequence randomness and fuzziness , the cloud theory and neural networks combined cloud reasoning that the logic integration into the neural network is evolutionary form of fuzzy neural network , using the model of the electricity market before tariff predict , a satisfactory prediction .

Related Dissertations

  1. Numerical Simulation of Polarized Radiative Energy and Entropy Transfer,TK124
  2. Research of Irreversible Loss in Flow and Mexed Prosess,TK12
  3. Quantitative evaluation model based on information entropy of the classroom observation,G632.4
  4. Research on Extraction and Tracking of People’s Opinion,TP391.1
  5. Research on Removal Algorithm of Shadows in Image Segmentation,TP391.41
  6. Gao Zhong-ying academic thought and experience and use of Bufei Decoction treatment of common diseases of the respiratory system drug law,R249.2
  7. The Research on Evaluation Method of Highway Ecosystem Healthy,X826
  8. Quantum Decoherence in Dissipative Cavity System,O413.1
  9. A Study of Multi-Path Routing Algorithm of Wireless Sensor Networks Based on Energy Balance,TP212.9
  10. Research on Determining the Number of Clusters Based on Information Entropy,TP311.13
  11. Evaluation of Economic Forecasting-model by Entropy,F201
  12. Application of Information Fusion Technology of Improved D-S Evidence Theory in Fault Diagnosis of Rotating Equipments of Generating Units,TM307.1
  13. Band Entropy Method and Its Application to Fault Diagnosis of Rolling Bearings,TH165.3
  14. Decision Tree Based on Generalized Information Entropy Model and Its Performance Evaluation,TP18
  15. Risk-based entropy and Markov chain approach MANET Security Risk Assessment and System Implementation,TN929.5
  16. Scientific Project Performance Evaluation of Zhejiang Colleges’ Based on AHP & Entropy,F127;F224
  17. Chinese FDI quality research,F832.6
  18. The Evaluation Study of High Technology Enterprise Organization Flexibility Based on A Theory of the Unascertained Measure,F224
  19. Study of Linear Entropy Evolution in System of Two Atom-two Dissipative Cavity,O431.2
  20. Kerr medium in the cavity dissipative two-photon entanglement dynamics JC Model,O431.2
  21. Application Research of Integrated Technology of Intelligent Fault Diagnosis to NC Machine Tool Fault Diagnosis,TH165.3

CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system scheduling, management, communication
© 2012 www.DissertationTopic.Net  Mobile