Real-time power balancing in photovoltaic-integrated smart micro-grid

Minhas, Daud Mustafa; Khalid, Raja Rehan; Frey, Georg

doi:10.1109/iecon.2017.8217308

Cited by 9 publications

(5 citation statements)

References 20 publications

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“…However, there is some cost for developing these queues and keeping the loads inside the queue for a long time. This cost is increasing with the queue length, indicating the evolving discomfort for the users [2]. This delay cost is illustrated as;…”

Section: A Cost Formulationsmentioning

confidence: 99%

“…At present, most of the consumable energy is produced by conventional power plants, i.e., fossil fuel and coal generation [1]. However, due to the rapid increase in fuel prices and the elevating emission problems, the World is adopting a better option of utilizing abundantly available natural resources of energy [2]. Renewable energy sources (RESs) (i.e., solar and wind) are clean and cheap sources of energy but are highly intermittent.…”

Section: Introductionmentioning

confidence: 99%

“…• Load queue: A demand queue is established, enforcing the scheduling framework for DT loads[2]. At any time t, the accumulated load demands in a queue are indicated as Q DT e,t and is concluded as;QDT e,t = max[Q DT e,t−1 − P DT − e,t , 0] + L DT e,t , ∀e, t (54)where,…”

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confidence: 99%

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Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN)

Minhas

Frey

2020

IEEE Access

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Internet of energy based smart power grids demonstrate high in-feed from renewable energy resources (RESs) and lofty out-feed to energy consumers. Uncertainties evolved by incorporating RESs and time-varying energy consumption present immense challenges to the optimal control of smart power networks. To deal with these challenges, it is important to make the system deterministic by making timeahead prediction and scheduling of power supply and demand. The present work confers a model of a co-scheduling framework, organizing cost-efficient activation of energy supply entities (ESEs) and load demands in a home area power network (HAPN). It integrates roof-top photovoltaic (PV) panels, diesel energy generator (DE), energy storage devices (ESDs), and smart load demands (SLDs) along with gridsupplied power. The scheduling model is based on mixed-integer linear programming (MILP) framework, incorporates a ''min-max'' optimization algorithm that reduces the daily energy bills, maintains high comfort level for the energy consumers, and increases the self-sufficiency of the home. The proposed strategy exploits the flexibility in dynamic energy price signals and SLDs of various classes, providing day-ahead cost-optimal scheduling decisions for incorporated energy entities. A linearized component-based model is developed, considering inefficiencies, taking various power phase modes of the SLDs along with the cost of operation, maintenance, and degradation of the equipment. A case study based on numerical analysis determines the particular features of the proposed HAPN model. Simulation results demonstrate the real prospect of our implemented strategy, utilizing a cost-effective optimal blend of distinct energy entities in a smart home. c Minimum power usage by the TCL unit (W ). P TCL c Maximum power usage by the TCL unit (W ). T TCL c User's set maximum temperature ( • C). T TCL c User's set minimum temperature ( • C).

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Section: A Cost Formulationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN)

Minhas

Frey

2020

IEEE Access

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“…Authors Daud Mustafa Minhas, Raja Rehan Khalid, Georg Frey addresses the uncertainty in PV generation & consumer consumption triggered because of the difference in the forecasted and the measured values due to varying atmospheric and consumer behaviour [32]. Lyapunov Optimization method is used in this paper.…”

Section: Energy Management Techniques Based On Exact Mathematicalmentioning

confidence: 99%

Optimization Techniques for Energy handling System in a Microgrid

Joseph*,

Jeyaprabha

2020

IJRTE

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The energy from the renewable energy sources primarily depends on the geographical factors. Intermittency is a major issue for renewable energy sources which will result in comparatively high electricity generation cost and a proper need of an energy management system. In an intelligent era, the increasing penetration level of solar photovoltaic (PV) energy is becoming a tedious task. Hence, an energy management system is required to control the energy flow when there is more than one source connected. Real time energy management becomes challenging because of the time varying prices of electricity, mismatch of generation and demand etc. So, they are widely related to the optimization techniques. This paper explains a broader review of various challenges on integration of Renewable energy sources to the grid. Also, an extensive review of numerous approaches of Energy management system is given in this paper. Different optimization techniques are discussed along with its advantages and limitations for better and more optimized Energy management in the micro grid. A proper energy management system helps to decrease the electricity prices as well as increases the power system reliability. Also, improves the grid stability.

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“…Since recent decade, green energy installation has been increasing dramatically, and power levels of gridconnected converters are moving towards MW [1][2][3][4][5]. Typically, they are designed to have the function of active power injection to ac grids [6].…”

Section: Introductionmentioning

confidence: 99%

Multi-Function High-Power Converters for Smart-Grid Applications

Huang

Lin

2018

E3S Web Conf.

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High penetration of green energy has driven conventional utility grids into smart grids to accommodate dc appliances and various types of dc equipment, increasing effectiveness, efficiency, and resilience. In a smart grid, ac is harmonized with dc, and therefore, a multi-function converter is required to transfer power between ac and dc grids. This paper presents system configuration, operational principle and control of multi-function high-power converters for smart-grid applications. Simulated and experimental results from a 350 kVA converter are used to verify the feasibility of the proposed system configuration and control.

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Real-time power balancing in photovoltaic-integrated smart micro-grid

Cited by 9 publications

References 20 publications

Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN)

Modeling and Optimizing Energy Supply and Demand in Home Area Power Network (HAPN)

Optimization Techniques for Energy handling System in a Microgrid

Multi-Function High-Power Converters for Smart-Grid Applications

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