Optimal power flow with renewable energy resources including storage

Reddy, S. Surender

doi:10.1007/s00202-016-0402-5

Cited by 75 publications

(44 citation statements)

References 27 publications

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“…Unfortunately, all methods of data forecasts have forecast errors and only some work take into account data forecast uncertainties in microgrid management. In [50], the authors resolved the OPF problem by considering the impact of uncertainties in wind, solar PV, and load forecast data. The developed OPF was based on the minimisation of the mean adjustment cost.…”

Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

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In this paper, an innovative method for managing a smart-community microgrid (SCM) with a centralized electrical storage system (CESS) is proposed. The method consists of day-ahead optimal power flow (DA-OPF) for day-ahead SCM managing and its subsequent evaluation, considering forecast uncertainties. The DA-OPF is based on a data forecast system that uses a deep learning (DL) long short-term memory (LSTM) network. The OPF problem is formulated as a mathematical mixed-integer nonlinear programming (MINLP) model. Following this, the developed DA-OPF strategy was evaluated under possible operations, using a Monte Carlo simulation (MCS). The MCS allowed us to obtain potential deviations of forecasted data during possible day-ahead operations and to evaluate the impact of the data forecast errors on the SCM, and that of unit limitation and the emergence of critical situations. Simulation results on a real existing rural conventional community endowed with a centralized community renewable generation (CCRG) and CESS, confirmed the effectiveness of the proposed operation method. The economic analysis showed significant benefits and an electricity price reduction for the considered community if compared to a conventional distribution system, as well as the easy applicability of the proposed method due to the CESS and the developed operating systems.Energies 2020, 13, 1764 2 of 21 Centralized and Decentralised Energy Storage SystemFor an SCM, there are two main common options to place storage units-a centralised energy storage system (CESS) and a decentralised energy storage system (DESS). Existing research deals with CESS and DESS, describing their useful properties, limitations, and applications.Generally, energy storage systems (ESSs) are used in microgrids to compensate the intermittent nature of RE, to improve the RE penetration level and to grow the self-consumption rate, reducing dependence on the grid [6]. The CESS represents a central ESS that is directly operated by the energy management system (EMS) of a microgrid. A DESS represents numerous small ESSs allocated in a microgrid. They can be operated by local users, by aggregators, or by the central EMS. The CESS increases the overall efficiency and the resiliency of the microgrid [7], whereas, on the other side, the DESS maximises the local impact of ESSs to adjust to local load profiles [8].According to the study presented in [9], the deployment of a DESS reduces the power losses in the distribution network and can support the load demand with a rapid response [10]. Nonetheless, the deployment of a DESS needs an appropriate mature infrastructure and a control mechanism, both of which are more expensive and complex than those required in the case of a CESS.According to [1], for the same operating conditions of the photovoltaics (PV) generation and ESS capacity, a CESS exhibits a better (of about 17%) reduction of the grid power use, compared to a DESS. In [11], the authors revealed that by using a CESS for the operation of a microgrid, lower operational costs c...

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Section: Methods For Data Forecast In a Microgridmentioning

confidence: 99%

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

et al. 2020

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“…This study shows that the roundtrip efficiency of a typical lithium-ion battery including losses is around 84%. Furthermore, authors in [58,82,[105][106][107][108][109][110][111][112][113][114][115][116][117][118][119][120][121][122][123] have also assumed a constant efficiency for the battery. However, research done in [124,125] showed that an inaccurate battery model can lead to an overestimate of battery's economic performance.…”

Section: Battery Operating Modelmentioning

confidence: 99%

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Azuatalam

Paridari

et al. 2019

Renewable and Sustainable Energy Reviews

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The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area focuses on individual aspects of this problem without a detailed, holistic analysis of the results with regards to practicality in implementation. In this paper, we fill this gap by performing a comprehensive comparison of seven different energy management strategies, each with different levels of practicality, sophistication and computational requirements. We analyse the results in the context of these three characteristics, and also critique the modelling assumptions made by each strategy. Our analysis finds that using a more sophisticated energy management strategy may not necessarily improve the performance and economic viability of the PV-battery system due to the effects of modeling assumptions, such as the treatment of uncertainties in the input data and battery degradation effects.

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“…Large value of capacitor is placed to reduce ripples and to improve the DC component. Voltage regulator ICs are available with fixed (typically 5, 12 and 15V) or variable output voltages [25][26]. Most regulators include some automatic protection from excessive current and overheating.…”

Section: Power Supply Systemmentioning

confidence: 99%

Design and implementation of smart uninterruptable power supply using battery storage and photovoltaic arrays

Narasimha

Salkuti²

2018

IJET

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The objective of this paper is to provide an uninterruptable power supply to the customers by selecting the supply from various reliable power sources such as solar photovoltaic, AC mains and battery storage systems. Initially, the load gets power supply from the reliable source (such as solar photovoltaic), if in case it is unavailable, then the proposed modules automatically switch over to the next reliable source (such as AC mains), and so on. If in case all proposed renewable energy sources (RESs) are unavailable than the proposed mod-ule automatically switch over to the local grid supply, if suppose the local grid supply is also unavailable then the proposed module au-tomatically switch over to the power storage bank. Therefore, the proposed intelligent/smart power module can improve the system per-formance and efficiency. The programming instruction of controller, the relay driver switches appropriate relay of sources to maintain uninterruptable power supply to the proposed utility of capacity 0.1kW. The proposed back-up system gets charged from the available reliable RESs with no pollution and noise, and it can also reduce the electricity bill. The proposed intelligent power module functions are displayed on LCD, it has been designed and analyzed in real time environment.

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Optimal power flow with renewable energy resources including storage

Cited by 75 publications

References 27 publications

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Evaluating the Economic Benefits of a Smart-Community Microgrid with Centralized Electrical Storage and Photovoltaic Systems

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Design and implementation of smart uninterruptable power supply using battery storage and photovoltaic arrays

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