Real-Time Control Strategy of Energy Storage Systems for Renewable Energy Sources Exploitation

Damiano, Alfonso; Gatto, Gianluca; Marongiu, Ignazio; Porru, Mario; Serpi, Alessandro

doi:10.1109/tste.2013.2273400

Cited by 60 publications

(30 citation statements)

References 14 publications

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“…In the first case, the maximum-capacity bidding plan was performed, the second case used the optimal scheduling algorithm, and the third case applied the real-time SOC management algorithm to the optimal scheduling algorithm. The PSCAD/EMTDC (Manitoba HVDC Research Centre, Winnipeg, MB, Canada) was used to confirm the SOC changes using Equation (12) when the ESS performed frequency regulation in a real-time operation. The actual AGC signal data in the PJM on 5 September 2013 were used to calculate the SOC in real-time.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [11], the authors presented the feasibility of an ESS for the operation of an island AC microgrid with photovoltaic generation. In [12], the authors proposed an ESS management algorithm for full renewable energy source (RES) exploitation. This algorithm was shown to minimize the curtailment of RES energy generation through energy buffering and forecasting error compensation by an ESS.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation

Yang

Choi

et al. 2016

Energies

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An energy storage system (ESS) in a power system facilitates tasks such as renewable integration, peak shaving, and the use of ancillary services. Among the various functions of an ESS, this study focused on frequency regulation (or secondary reserve). This paper presents an optimal scheduling algorithm for frequency regulation by an ESS. This algorithm determines the bidding capacity and base point of an ESS in each operational period to achieve the maximum profit within a stable state-of-charge (SOC) range. However, the charging/discharging efficiency of an ESS causes SOC errors whenever the ESS performs frequency regulation. With an increase in SOC errors, the ESS cannot respond to an automatic generation control (AGC) signal. This situation results in low ESS performance scores, and finally, the ESS is disqualified from performing frequency regulation. This paper also presents a real-time SOC management algorithm aimed at solving the SOC error problem in real-time operations. This algorithm compensates for SOC errors by changing the base point of the ESS. The optimal scheduling algorithm is implemented in MATLAB by using the particle swarm optimization (PSO) method. In addition, changes in the SOC when the ESS performs frequency regulation in a real-time operation are confirmed using the PSCAD/EMTDC tool. The simulation results show that the optimal scheduling algorithm manages the SOC more efficiently than a commonly employed planning method. In addition, the proposed real-time SOC management algorithm is confirmed to be capable of performing SOC recovery.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation

Yang

Choi

et al. 2016

Energies

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“…The EMS optimization criterion can be satisfied by using a number of optimization algorithms [5,103,107], which can be carried out in advance and/or in real-time depending on the kind of services to provide [108]. The most important optimization algorithms are summed up in Table 1; each of these presents advantages and drawbacks, thus its employment is strictly related to the specific optimization criterion and inherent features of the system to optimize.…”

Section: Energy Management Systems For Distributed Energy Resourcesmentioning

confidence: 99%

Multidisciplinary Approach for the Development of Smart Distribution Networks

Ghiani¹,

Serpi²,

Pilloni³

et al. 2018

Preprint

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Electric power systems are experiencing relevant changes involving the growing penetration of distributed generation and energy storage systems, the introduction of electric vehicles, the management of responsive loads, the proposals for new energy markets and so on. Such evolution is pushing for a paradigm shift: the management must move from traditional planning and manual intervention to full "smartization" of medium and low voltage networks. Peculiarities and criticalities of future power distribution networks originate from the complexity of the system that includes both the physical aspects of electric networks and the cyber aspects, like data elaboration, feature extraction, communication, supervision and control; only fully integrated advanced monitoring systems can foster this transition towards network automation. The design and development of such future networks require distinct kinds of expertise in the industrial and information engineering fields. In this context, this paper provides a comprehensive review of current challenges and multidisciplinary interactions in the development of smart distribution networks.

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“…Therefore, an efficient storage system must be applied to increase the total efficiency, improving energy management or to bridge the mismatch between energy production and demand, common in renewable systems [4,5]. Several technologies are available depending on the kind of energy that needs to be stored [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Simulations of Melting of Encapsulated CaCl2·6H2O for Thermal Energy Storage Technologies

et al. 2017

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Abstract:We present in this work simulations using the finite difference approximation in 2D for the melting of an encapsulated phase-change material suitable for heat storage applications; in particular, we study CaCl 2 ·6H 2 O in a cylindrical encapsulation of internal radius 8 mm. We choose this particular salt hydrate due to its availability and economic feasibility in high thermal mass building walls or storage. Considering only heat conduction, a thermostat is placed far from the capsule, providing heat for the melting of the phase-change material (PCM), which is initially frozen in a water bath. The difference in density between the solid and liquid phases is taken into account by considering a void in the solid PCM. A simple theoretical model is also presented, based on solving the heat equation in the steady state. The kinetics of melting is monitored by the total solid fraction and temperatures in the inner and outer surfaces of the capsule. The effect of different parameters is presented (thermostat temperature, capsule thickness, capsule conductivity and natural convection in the bath), showing the potential application of the method to select materials or geometries of the capsule.

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Real-Time Control Strategy of Energy Storage Systems for Renewable Energy Sources Exploitation

Cited by 60 publications

References 14 publications

Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation

Optimal Scheduling and Real-Time State-of-Charge Management of Energy Storage System for Frequency Regulation

Multidisciplinary Approach for the Development of Smart Distribution Networks

Simulations of Melting of Encapsulated CaCl2·6H2O for Thermal Energy Storage Technologies

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