Smart energy coordination of autonomous residential home

被引:31
|
作者
Mbungu, Nsilulu T. [1 ]
Bansal, Ramesh C. [2 ]
Naidoo, Raj M. [1 ]
机构
[1] Univ Pretoria, Dept Elect Elect & Comp Engn, Pretoria, South Africa
[2] Univ Sharjah, Dept Elect & Comp Engn, Sharjah, U Arab Emirates
基金
新加坡国家研究基金会;
关键词
energy consumption; optimal control; energy conservation; optimisation; distributed power generation; smart power grids; pricing; wind power plants; energy storage; demand side management; closed loop systems; photovoltaic power systems; smart grid energy efficiency modelling; renewable energy resources; utility grid; energy storage system; ESS; optimal control manner; power flow; demand response schemes; real-time electricity pricing; closed-loop optimal control strategy; dynamic model; system performance index; energy flows; dynamic distributed energy storage strategy; energy system; total energy consumption; main grid; designed model; smart energy coordination; autonomous residential home; smart grid technology; electrical system; conventional power grid; intelligent power network; sustainable energy integration; energy management; coordination scheme; domestic demand; photovoltaic power generation; load demand; wind power generation; MANAGEMENT; SYSTEM; WIND; OPTIMIZATION; STORAGE;
D O I
10.1049/iet-stg.2019.0109
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The smart grid technology permits the revolution of the electrical system from a conventional power grid to an intelligent power network which has led the improvements in electrical system in terms of energy efficiency and sustainable energy integration. This study presents the energy management/coordination scheme for domestic demand using the key strategy of smart grid energy efficiency modelling. The structure consists of combining renewable energy resources, photovoltaic (PV) and wind power generation connected to the utility grid with energy storage system (ESS) in an optimal control manner to coordinate the power flow of a residential home. Based on the demand response schemes in the framework of real-time electricity pricing, this work designs a closed-loop optimal control strategy that is created by the dynamic model of the ESS to compute the system performance index, which is formulated by the cost of the energy flows. A dynamic distributed energy storage strategy (DDESS) is implemented to optimally coordinate the energy system, which reduces the total energy consumption from the main grid of more than 100% of the load demand. The designed model introduces a payback scheme while robustly optimising the energy flows and minimising the utility grid's energy consumption cost.
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页码:336 / 346
页数:11
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