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Optimal frequency deviations control in microgrid interconnected systems

delete2019-07-25
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OA
AI
M
Mukwanga W. Siti
D
Diambomba H. Tungadio
孙艳霞 cover
孙艳霞 (Yanxia Sun)
N
Nsilulu T. Mbungu *
R
Remy Tiako
DOI:10.1049/iet-rpg.2018.5801delete
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Abstract

Abstract

En 中文
The increase in the price of fossil fuel due to its rarity and emissions means more integration of renewable energy sources (RESs) is required to improve economic management of the grid. This study analyses a combination of the tie-line power between conventional power sources and the renewable energy system and its frequency deviations which are known as area control error. The minimisation of the tie-line by optimal control is affected in such a way that the frequency and tie-line power error can be minimised while maintaining the power balance between generation and load. The tie-line connected to the microgrid consists of two main parts, namely the conventional source and the renewable energy source, each made up of a synchronous generator. The control application of the active power and frequency to a network is referred to as load frequency control (LFC) with the storage system as an integral part of RES. The simulation results show the performance of the proposed optimal control model in microgrid during the changing loads' condition, where the energy storage system applied to optimal control has shown a quick response to frequency deviation, which is close to 80%.
Keywords:
renewable energy sources
power system interconnection
load regulation
optimal control
synchronous generators
distributed power generation
frequency control
power generation control
energy storage
power system control
optimal frequency deviations
microgrid interconnected systems
fossil fuel
rarity
emissions
renewable energy source
RES
economic management
study analyses
conventional power sources
renewable energy system
frequency deviation
area control error
tie-line power error
power balance
generation
conventional source
control application
active power
load frequency control
integral part
optimal control model
energy storage system
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Journal

IET Renewable Power Generation cover
IET Renewable Power Generation
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