A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid

Siratarnsophon, Piyapath; Lao, Keng Weng; Rosewater, David Martin; Santoso, Surya

doi:10.1109/tpwrd.2019.2892611

Cited by 15 publications

(8 citation statements)

References 4 publications

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“…Assessment framework is first proposed to evaluate ESS's impact on the traditional power system. Based on different utilized functions of ESS, the traditional framework divides its benefits into two parts: (a) energy transfer benefits, 1‐11 and (b) ancillary services benefits 12‐39 . Since the RE penetration in the traditional power system is relatively low, the evaluation of traditional energy transfer benefits mainly focuses on ESS's benefits in reducing the system operation cost.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…The most widely accepted classification method is formed based on the International Symposium discussion on “dynamic benefits of energy storage plant operation” 40 According to different application scenarios, ancillary services benefits in the traditional framework can be classified into five categories: Emergency reserve benefit 12‐17 : ESS can provide emergency or spinning reserve to enhance system reliability. Load following benefit 27‐29 : ESS can follow the load fluctuation when the load changes rapidly on a minute to an hour timescale. Frequency regulation benefit 24‐26 : ESS is capable of fast responding in several seconds. Therefore, it can replace the function of thermal units in frequency regulation at a high quality and a relatively low cost. Var regulation benefit 18‐20 : ESS can be used for var compensation operation. So, ESS can replace special var compensation equipment, saving a large amount of cost. Black start benefit 30‐33 : ESS can be used as the black start power supply.…”

Section: Proposed Frameworkmentioning

confidence: 99%

“…Second, ESS utilization in voltage and frequency regulation is also well explored. Both the centralized 18,19 and distributed 20 control strategy of ESS are proposed to perform optimal active and reactive power compensation, improving the voltage stability of power system. As for frequency regulation, ESS plays an important role in inertial response, 21‐23 primary frequency response, 24‐26 and load following process 27‐29 .…”

Section: Introductionmentioning

confidence: 99%

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Assessing operational benefits of large‐scale energy storage in power system: Comprehensive framework, quantitative analysis, and decoupling method

Wang

Yang

et al. 2021

Int J Energy Res

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Summary With the large‐scale integration of centralized renewable energy (RE), the problem of RE curtailment and system operation security is becoming increasingly prominent. As a promising solution technology, energy storage system (ESS) has gradually gained attention in many fields. However, without meticulous planning and benefit assessment, installing ESSs may lead to a relatively long payback period, and it could be a barrier to properly guiding industry planning and development. In this article, we present a comprehensive framework to incorporate both the investment and operational benefits of ESS, and quantitatively assess operational benefits (ie, energy transfer and ancillary services benefits). The time‐sequential operation simulation method is introduced to quantify the different operational benefits more accurately. Finally, we analyze the coupling relationships among these benefits and design a decoupling method to separate them. A case study on a modified practical power system is investigated. Numerical results show that the operational benefits of ESS are fully investigated and properly measured. In addition, ESSs' operational benefits will increase with the RE penetration and proper selection of the installed capacity of ESSs.

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Section: Proposed Frameworkmentioning

confidence: 99%

Section: Proposed Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessing operational benefits of large‐scale energy storage in power system: Comprehensive framework, quantitative analysis, and decoupling method

Wang

Yang

et al. 2021

Int J Energy Res

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“…Always referring to PV systems with ESSs, Ref. [54] proposes to act on both active and reactive powers to smooth the impact on DN and to monitor the voltage at the PCC. However, the control is based on a heuristic iterative procedure.…”

Section: Decentralized Primary Voltage Controlmentioning

confidence: 99%

Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues

2021

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Voltage control is becoming a key issue in active distribution systems, which are electric distribution networks characterized by a large penetration of DERs. Traditional voltage control devices, as well as the active and reactive powers injected by DERs, can be used as ancillary services to support voltage profiles along the distribution feeders. Due to the peculiar characteristics of active distribution systems, the decentralized control approach presents the most promising technical and economical features. In the paper, the decentralized voltage control structure is hierarchically decomposed into different control levels, characterized by different objectives and time frames. The primary and secondary control levels have been analyzed, always according to a decentralized approach. For each level, the various techniques for solving the voltage control problem that have been proposed in the literature are presented, and their main features compared. The main open issues related to the real time practical implementation of the decentralized architectures at both primary and secondary voltage control levels are investigated, keeping always in mind both technical and economical aspects, which always represent the components of a trade-off solution.

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“…Due to the intermittent nature of renewable energy sources, energy storage systems are included in the HRES to provide stiffness to the grid. There are several studies on optimizing the size of energy storage systems, focusing on peak shifting and renewable smoothing, along with ancillary services such as voltage regulation and frequency regulation [28,37,38]. In [39], a multi-objective equilibrium optimizer was used to achieve operational and economic efficiency by integrating renewable energy sources into the grid.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

Nuvvula

Elangovan

Kishore³

et al. 2021

Energies

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Higher penetration of variable renewable energy sources into the grid brings down the plant load factor of thermal power plants. However, during sudden changes in load, the thermal power plants support the grid, though at higher ramping rates and with inefficient operation. Hence, further renewable additions must be backed by battery energy storage systems to limit the ramping rate of a thermal power plant and to avoid deploying diesel generators. In this paper, battery-integrated renewable energy systems that include floating solar, bifacial rooftop, and wind energy systems are evaluated for a designated smart city in India to reduce ramping support by a thermal power plant. Two variants of adaptive-local-attractor-based quantum-behaved particle swarm optimization (ALA-QPSO) are applied for optimal sizing of battery-integrated and hybrid renewable energy sources to minimize the levelized cost of energy (LCoE), battery life cycle loss (LCL), and loss of power supply probability (LPSP). The obtained results are then compared with four variants of differential evolution. The results show that out of 427 MW of the energy potential, an optimal set of hybrid renewable energy sources containing 274 MW of rooftop PV, 99 MW of floating PV, and 60 MW of wind energy systems supported by 131 MWh of batteries results in an LPSP of 0.005%, an LCoE of 0.077 USD/kW, and an LCL of 0.0087. A sensitivity analysis of the results obtained through ALA-QPSO is performed to assess the impact of damage to batteries and unplanned load appreciation, and it is found that the optimal set results in more energy sustainability.

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A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid

Cited by 15 publications

References 4 publications

Assessing operational benefits of large‐scale energy storage in power system: Comprehensive framework, quantitative analysis, and decoupling method

Assessing operational benefits of large‐scale energy storage in power system: Comprehensive framework, quantitative analysis, and decoupling method

Decentralized Voltage Control in Active Distribution Systems: Features and Open Issues

Optimal Sizing of Battery-Integrated Hybrid Renewable Energy Sources with Ramp Rate Limitations on a Grid Using ALA-QPSO

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