Loading...

Simulation and Implementation of Active Energy Management Algorithm on Residential Photovoltaic System with Storage

Ghafouri Varzaneh, Saeed | 2018

694 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51125 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour, Ali
  7. Abstract:
  8. In majority of the (standalone or grid-connected) PV Systems, predefined rule-based algorithms are utilized in order to manage and control the flow of power. The function of these algorithms is to send the generated energy from solar panels either to load for consumption, or to battery for storage, or to the grid for sale. Their performance is based on predefined instructions and regardless of load change and consumption patterns. Therefore the total efficiency of these systems depend greately upon individual user’s load type and consumption pattern. In current research, an optimum and dynamic energy management algorithm is proposed using dynamic programming (DP) method, in order to increase the residential PV system adaptability with each user’s dynamic consumption pattern. First user’s consumption pattern – despite the changes throughout the time - is obtained dynamically according to the sampled data from power counter in consecutive intervals, furthermore irradiance and ambient temperature data at installation location are estimated in order to calculate the available solar power for next 24 hours. Thereafter using these data, while considering all the possible combinations in dynamic programming, an optimum time-based schedule is obtaind as such maximum economic profit would be achieved for the user. In order to evaluate the proposed system under both Electricity Tariff Structures (ETS) including constant and Time of Use (TOU) Tariffs, first the system is simulated in MATLAB/Simulink® environment, then a prototype is implemented in small scale. The results in Both simulation and physical small-scale implementation of the system signify the effectiveness of the proposed algorithm in minimizing the demand of energy supplied from the grid for load provision and/or maximizing the total energy sold to the grid in a one week test period
  9. Keywords:
  10. Dynamic Programming ; Photovoltaic System ; Energy Management ; Smart Energy Management ; Residential Photovoltaic System ; Dynamic Load Forecasting ; Solar Irradiance Forecast

 Digital Object List

 Bookmark

No TOC