Abstract

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, dispatch/control and distribute power flows in whole system to meet requirements of the demand-side 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 compensates 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.

Highlights

  • Large electric power system (EPS) can be divided into many islands and these islands are operated in isolated or halfisolated modes to actively dispatch and change the way to mobilize power from traditional generations

  • In Viet Nam, politicians and administrators are promoting the development of photovoltaic power generation (PVG) and wind power generation (WG)

  • They are scaling electricity in three price levels, where stages having high and medium price are continuous from 4.5 o'clock am to 10 o'clock pm every day [7], [8]

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Summary

INTRODUCTION

Large electric power system (EPS) can be divided into many islands and these islands are operated in isolated or halfisolated modes to actively dispatch and change the way to mobilize power from traditional generations. This paper proposes a new method to determine the optimal sizing of ES to meet requirements of the DSM program in Viet Nam. The optimal capacity can completely compensate deficient energy in the stages having high and medium price levels. Block 2 collects all instantaneous information about operating states of whole system from sensors such as current through each branch, voltage at buses to regulate control signals These signals are sent to controllable switches placed in power converters to execute all requirements of the DSM program: harnessing maximum power from hybrid power generation, supplying electricity for load, holding voltage at DCbus as a constant value, synchronizing to the grid.

SYSTEM SCHEME AND POWER CONVERSION
Objective of the DSM program in Viet Nam
Constraints
Alogrithm to determine optimal sizing
SIMULATION
CONCLUSION
Full Text
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