Strategic integration of battery energy storage systems with the provision of distributed ancillary services in active distribution systems

Kumar, Abhishek; Meena, Nand K.; Singh, Arvind R.; Deng, Yan; He, Xiangning; Bansal, Ramesh C.; Kumar, Praveen

doi:10.1016/j.apenergy.2019.113503

Cited by 107 publications

(48 citation statements)

References 78 publications

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“…where K CAP and Q CAP are the total capacitor purchase and installation cost (5 USD/kvar) [12] and the size of the LV capacitor.…”

Section: Implementation Of Centralized Bess With LV Capacitor Placementmentioning

confidence: 99%

“…The maximum total NPV was used as the objective function, which was solved by GA. Recently, the BESS with strategies of central and distributed ancillary services in distribution systems were used to accommodate high penetration levels of wind power generation [12]. The considered benefits included improvement of voltage profile, improvement of power factor, and reduced energy losses and demand deviation; meanwhile, the GA was used as the optimization algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, installation of a capacitor is widely known as the method for enhancing the economic benefit and enhancing the power quality of the distribution system [12,13]. Since the capacitor itself normally supplies the reactive power into the distribution system, it typically improves the voltage magnitude as well as reduces the power loss of the system.…”

Section: Introductionmentioning

confidence: 99%

“…Since the capacitor itself normally supplies the reactive power into the distribution system, it typically improves the voltage magnitude as well as reduces the power loss of the system. Several publications have been studied to determine the sitting and sizing of a capacitor aiming to obtain the maximum benefit [12,13]. However, only a few studies applied the simultaneous installation of capacitor and BESS to maximize the benefit of the distribution system with integrated PV systems [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm

et al. 2019

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This work aims to maximize the benefit of the low-voltage (LV) level distribution system with high photovoltaic (PV) penetration by using an optimal installation of a battery energy storage system (BESS) and capacitor. The 41-bus practical distribution system located in Thailand was focused on. The comprehensive objective function regarding the focused system was proposed. The Salp Swarm and Genetic Algorithms were applied to solve the optimization problem. The total net present value (NPV) of utility was performed as a beneficial indicator, and it was determined by the overall costs and benefits of BESS installation and capacitor placement. A comparison of total NPV in the cases of centralized BESS installation, BESS installation with LV capacitor placement, and decentralized BESS installation was indicated. The results showed that all cases of BESS installation could increasingly flatten the load on the transformer; meanwhile, the voltage profile of the system was significantly improved. Optimal installation of centralized BESS simultaneously with LV capacitor placement provides higher NPV than the case with only centralized BESS installation. In particular, the highest NPV was obtained in the case of installing decentralized BESS. The results can be utilized to maximize the benefits of the utility in the distribution system at a high PV penetration level.

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“…where K CAP and Q CAP are the total capacitor purchase and installation cost (5 USD/kvar) [12] and the size of the LV capacitor.…”

Section: Implementation Of Centralized Bess With LV Capacitor Placementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm

et al. 2019

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“…At the distribution system level, a BESS is mainly used for enhancing the grid integration of RES by mitigating the effects of the uncertainty on load and distributed generation [7,8], improving the distribution system reliability by avoiding operations close to the line thermal limits and thus more exposed to the risk of protection trips [9], enhancing the quality of the supply with relatively high-power and low-energy solutions [10], reducing the need for grid expansion, shaving the power demand peaks through load shifting or load leveling [9], optimizing the energy transaction costs [11], and integrating BESSs with the demand response in microgrid applications [12]. In [13], a distinction is made between a centralized BESS (that participates in reducing the demand deviation, avoiding the reverse power flow and correcting the power factor), and a distributed BESS (that aims at annual energy loss reduction, reduction of the demand deviation, and improvement of the voltage profile).…”

Section: Introductionmentioning

confidence: 99%

Location and Sizing of Battery Energy Storage Units in Low Voltage Distribution Networks

et al. 2019

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Proper planning of the installation of Battery Energy Storage Systems (BESSs) in distribution networks is needed to maximize the overall technical and economic benefits. The limited lifetime and relatively high cost of BESSs require appropriate decisions on their installation and deployment, in order to make the best investment. This paper proposes a comprehensive method to fully support the BESS location and sizing in a low-voltage (LV) network, taking into account the characteristics of the local generation and demand connected at the network nodes, and the time-variable generation and demand patterns. The proposed procedure aims to improve the overall network conditions, by considering both technical and economic aspects. An original approach is presented to consider both the planning and scheduling of BESSs in an LV system. This approach combines the properties of metaheuristics for BESS sizing and placement with a greedy algorithm to find viable BESS scheduling in a relatively short time considering a specified time horizon, and the application of decision theory concepts to obtain the final solution. The decision theory considers various scenarios with variable energy prices, the diffusion of local renewable generation, evolution of the local demand with the integration of electric vehicles, and a number of planning alternatives selected as the solutions with top-ranked objective functions of the operational schedules in the given scenarios. The proposed approach can be applied to energy communities where the local system operator only manages the portion of the electrical grid of the community and is responsible for providing secure and affordable electricity to its consumers. 417Regarding the calculation of the load profiles, it takes into account the real contractual delivery 418 powers to each load. Two nodes are considered as commercial consumers, while the other ones 419 refer to residential customers. For the profiles, due to lack of complete information from the actual 420 profiles, relevant (residential and commercial) profiles have been taken from an open-source 421 dataset (OpenEI) [36], normalized and multiplied by the nominal powers.422 3.2.2 PV generation 423 The considered PV production, in the simulation, is calculated based on yearly solar irradiance 424 and the nominal installed power [37]. Yearly solar irradiance data is obtained through collected 425 data from third party weather service provider [38] for specific location of study case with the 426 coordination of 46.4746° N, 11.2479° E.427 3.2.3 EVs relevant information 428 EVs are considered in some scenarios, through the load profile caused by their charging. 429Within this analysis, the number of EVs that determines the EV charging profile, is set to 10 in the 430 beginning of the scenarios with EV and that number increments gradually by rate of one EV per 431year. The nominal power of the EV chargers are considered to be 3.6 kW, i.e., a standard power 432 level of charging stations, and charging events occur mainly during the night...

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Inclusion of Energy Storage System with Renewable Energy Resources in Distribution Networks

Thokar

Pandey

Gupta

et al. 2021

Energy Storage for Modern Power System Operations

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Strategic integration of battery energy storage systems with the provision of distributed ancillary services in active distribution systems

Cited by 107 publications

References 78 publications

Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm

Increasing Benefits in High PV Penetration Distribution System by Using Battery Enegy Storage and Capacitor Placement Based on Salp Swarm Algorithm

Location and Sizing of Battery Energy Storage Units in Low Voltage Distribution Networks

Inclusion of Energy Storage System with Renewable Energy Resources in Distribution Networks

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