Real-time monitoring of quantitative precipitation distribution is essential to prevent natural disasters caused by heavy rainfall. Precipitation distribution by rain gauge network or combined with radar/satellite data is operationally used in Viet Nam. Previously, meteorological radar data was simply converted to precipitation amount by using simple Z-R relationship. In order to get the accurate quantitative precipitation estimation (QPE) data, converted precipitation amount from radar should be corrected by rain gauge data. In the ongoing JICA technical cooperation project, preliminary development of the QPE product has been conducted by utilizing the data from the automatic rain gauge network and meteorological radar network in Viet Nam. The fundamental part of this QPE algorithm has been used and updated in Japan Meteorological Agency (JMA) for more than 25 years. This is the first attempt to get quantitative precipitation distribution with precise resolution by combining radar and rain gauge data in Viet Nam. This paper describes each process to introduce this QPE method to Viet Nam and indicates some preliminary results. Several issues to improve its accuracy is also proposed.
This paper proposes a general demand-side management strategy in microgrids with the presence of renewable sources. To apply proposed above strategy by electric price in Vietnam, it must be participated of photovoltaic and wind power generations and energy storage. An algorithm applied for this program is created by comparing amount of energy generating from generations and consumed by electric load. Amount of energy that must be bought from the grid or sells to it can be calculated by dispatching energy between hours that have the lowest electric price level and hours that have the medium and highest electric price levels. A case study that energy generating from generations is not equal energy consumed by load in hours having the medium and highest electric price levels is made more detailed in this paper. Algorithms to dispatch energy at any time to achieve the purpose of not buying electricity from the grid in above hours basing on electric price levels, efficiency of energy conversion, rated capacity of units and analysis of power flows in whole system. Results providing from algorithms are energy that must be bought from the grid or sell to the grid, instantaneous capacity of energy storage. Simulation results corresponding to this case study carried out in MATLAB 2018a present the meaning and feasibility of proposed contents.
This paper proposes a new method to determine optimal energy storage sizing in photovoltaic and wind hybrid power generation systems. These generations are placed in a scheme of three blocks to forecast, measure, and dispatch/control and distribute power flows in whole system to meet requirements of the demandside management program in Viet Nam. Data about electric load power, power of solar irradiance, ambient temperature, wind speed and other weather conditions must be forecasted in a high accuracy. An algorithm to determine the optimal sizing is designed basing on forecasting data, constraints, the relation of quantities in whole system and the capability to charge/discharge energy of energy storage. The optimal sizing in this research helps to rearrange load diagrams that compensate deficient energy completely in stages having high and medium price levels. It can be applied at each bus to reduce cost for buying electricity from electric power system. The new proposal is illustrated by simulation results in a case study carried out by MATLAB 2017a.
This paper introduces a new method that no previous study has been done in this photovoltaic power generation similar to this paper to harness maximum potential power from photovoltaic power generation. The completely mathematical model added the relation between diode factor of the generation and p-n junction temperature is proposed to use in this method. The maximum power point tracker combines the iterative and bisectional technique, the completely mathematical model of PVG and the system of equations that converts value of parameters from standard test condition to any working condition, measuring sensors to measure power of solar irradiance and pn junction temperature to determine parameters at maximum power point at any working condition. The voltage controller is designed to drive this generation to expect working state to harness maximum power. An experimental model corresponding to this method was designed and operated in real conditions in Viet Nam. Experimental results show the high accuracy of analyzing in theory and high capability to bring this method out real applications to harness all available energy of this generation.
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