Evaluation Method for Hosting Capacity of PV System in Distribution System with Micro Hydropower Generator

Lee, Hu-Dong; Tae, Dong-Hyun; Kim, Ji-Myung; Rho, Dae-Seok

doi:10.1007/s42835-020-00528-0

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…The study of DERHC has been recently started to research the impacts of increasing the penetration of DERs into the distribution network of power systems. The literature review defines the DERHC as, "the maximum integration of DERs into the distribution system, subjected to the operational constraints, at which the power system operates satisfactorily" [25]- [27]. A locational DERHC is usually referred to as the maximum capacity of the DER that can be integrated at each location (bus) of a distribution system without disturbing the operation of the power system.…”

Section: Concept Of Derhcmentioning

confidence: 99%

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

2022

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Renewable energy is being increasingly integrated into distribution systems worldwide in response to technological, economic, and environmental challenges. The assessment of hosting capacity allows us to determine the maximum installation capacity of distributed energy resources (DERs) in a distribution system within its operational limits to obtain more benefits. In this study, a new multistage algorithm is developed based on an analytical approach and optimal power flow (OPF) for the assessment of DERs' hosting capacity (DERHC) with single and multiple multi-type DERs. In the first stage, the optimal locations of DERs are determined analytically, and the second stage involves the calculation of optimal DERs sizes for the assessment of the maximum locational and total DERHC. This method provides mathematical and global optimum certainty considering the constraints to maintain the reliability and protection of the system. Moreover, the proposed method is tested using a standard IEEE 33-bus distribution system, and different scenarios are created based on the number and type of DERs to achieve the best-case results of DERHC. The obtained results are compared with those of the conventional OPF iterative method that are encouraging and validate the accuracy and robustness of the proposed methodology.INDEX TERMS Analytical optimal power flow method, hosting capacity assessment, multi-type distributed generation, optimal power flow.

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Section: Concept Of Derhcmentioning

confidence: 99%

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

2022

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“…Furthermore, the CO 2 emission amount of the generator type was assumed, as shown in Table 2, in order to find out GHG reduction based on load leveling in EES systems. This paper found out the optimal generation mix, considering the operation of EES systems under the following assumptions [29][30][31][32]:…”

Section: Simulation Conditionsmentioning

confidence: 99%

Estimation Method of Greenhouse Gas Reduction for Electrical Energy Storage Based on Load-Leveling Application

Tae¹,

Lee²,

Shen³

et al. 2021

Energies

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In recent years, there have been several types of energy storage technologies adopted in many different areas, such as peak shaving, frequency regulation, and renewable stabilization applications. Moreover, technologies of high energy and power density are useful for load leveling, power smoothing for renewable energy systems (RESs), and peak shaving for demand management. Under these circumstances, an estimation technique for assessing environmental issues applied to electrical energy storage (EES) systems is essential in order to promote commercialization of EES systems. Therefore, this paper proposes an estimation method for CO2 emission in cases where EES systems are introduced and not introduced. It is essential to evaluate environmental issues in EES systems at operation stages of their life cycle and make an effective contribution to environmental improvement and reduce potential adverse environmental impacts. Thus, this paper deals with an evaluation method for CO2 emission based on an optimal algorithm including a successive approximation method for the best-mix solution of power sources, etc. From the simulation result based on the proposed evaluation algorithm, it is found that the output power of a coal power plant (high CO2 emission) is replaced by the output powers of the EES systems and the nuclear generator (low CO2 emission).

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“…Hosting capacity refers to the maximum capacity of DG that can be interconnected to the distribution system without additional reinforcement [16]. In order for the distribution system to operate normally, the voltage of the distribution system must not exceed the rated voltage range, and the magnitude of the flowing current in the feeder must not be greater than the ampacity.…”

Section: Hosting Capacitymentioning

confidence: 99%

Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer

et al. 2021

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As a large number of distributed generations are connected to the distribution system, research on the hosting capacity is actively being conducted. In particular, various methods, such as smart inverter functionality, co-located energy storage systems (ESS), and the use of on-load tap changers (OLTC), have been proposed to improve the hosting capacity. In this paper, a method to improve the hosting capacity by utilizing a solid-state transformer (SST) and its unique control capability is proposed. Lastly, the proposed method is verified in the distribution system of the Republic of Korea using the OpenDSS program.

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Evaluation Method for Hosting Capacity of PV System in Distribution System with Micro Hydropower Generator

Cited by 4 publications

References 7 publications

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

Maximum Hosting Capacity Assessment of Distribution Systems With Multitype DERs Using Analytical OPF Method

Estimation Method of Greenhouse Gas Reduction for Electrical Energy Storage Based on Load-Leveling Application

Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer

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