Development of Optimal Energy Storage System Sizing Algorithm for Photovoltaic Supplier in South Korea

Oh, Seongmun; Kong, Junhyuk; Lee, Wonjun; Jung, Jaesung

doi:10.1109/pesgm.2018.8586289

Cited by 15 publications

(13 citation statements)

References 5 publications

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“…where C loss is the annual line losses cost of the DNs after ESS configuration, represented as Equation (12) and Barb is the annual arbitrage income of ESS, which is represented as Equation (14). ∆V is the voltage variation and λ 1 , λ 2 and λ 3 are the weighting coefficients.…”

Section: Inner Optimization Model Establishmentmentioning

confidence: 99%

“…(1) Linear transformation of objective function For Equations (14) and (32) containing the second order terms I 2 ij (t) and V 2 i (t), I ij,2 (t) and V i,2 (t) are utilized to replace them. Then the objective function can be linearized as Equations (33) and (34)…”

Section: Inner Optimization Model Solutionmentioning

confidence: 99%

“…At present, the main obstacle to the large-scale deployment of batteries is the relatively low cycle time and high cost. Therefore, the optimal planning of ESS capacity has attracted considerable attention worldwide [14,15]. With the emerging technology development, cost reduction, life extension and energy conversion efficiency improvement, the economy of battery technology will gradually become prominent [16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination

Zhu

et al. 2021

Energies

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Energy storage system (ESS) has been advocated as one of the key elements for the future energy system by the fast power regulation and energy transfer capabilities. In particular, for distribution networks with high penetration of renewables, ESS plays an important role in bridging the gap between the supply and demand, maximizing the benefits of renewables and providing various types of ancillary services to cope the intermittences and fluctuations, consequently improving the resilience, reliability and flexibility. To solve the voltage fluctuations caused by the high permeability of renewables in distribution networks, an optimal capacity allocation strategy of ESS is proposed in this paper. Taking the life cycle cost, arbitrage income and the benefit of reducing network losses into consideration, a bilevel optimization model of ESS capacity allocation is established, the coordination between active/reactive power of associate power conversion system is considered, and the large scale nonlinear programming problem is solved using genetic algorithm, simulated annealing and mixed integer second-order cone programming method. The feasibility and effectiveness of the proposed algorithm have been verified.

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Section: Inner Optimization Model Establishmentmentioning

confidence: 99%

Section: Inner Optimization Model Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination

Zhu

et al. 2021

Energies

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“…Oh et al, (2018) [9] suggested that the optimal capacity is when the NPV is the maximum value using the SMP and REC revenue generated from PV-ESS. Gwangju meteorological data and the PVWatts4 program were used to virtually calculate 100 kW of PV power generation.…”

Section: Literature Reviewmentioning

confidence: 99%

An Assessment of the Optimal Capacity and an Economic Evaluation of a Sustainable Photovoltaic Energy System in Korea

2021

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The purpose of this study is to conduct an economic evaluation of a photovoltaic-energy storage system (PV–ESS system) based on the power generation performance data of photovoltaic operations in Korea, and to calculate the optimal capacity of the energy storage system. In this study, PV systems in Jeju-do and Gyeongsangnam-do were targeted, PV systems in this area were assumed to be installed on a general site, and the research was conducted by applying weights based on the facility’s capacity. All the analyses were conducted using the actual amount of Korea power exchange (KPX) transactions of PV systems in 2019. In order to calculate the optimal capacity of the power conditioning system (PCS) and the battery energy storage system (BESS) according to global horizontal irradiation (GHI), PV systems with a minimum/maximum/central value were selected by comparing the solar radiation before the horizontal plane for three years (2017–2019) in the location where the PV systems was installed. As a result of the analysis, in Jeju-do, if the renewable energy certificate(REC) weight decreased to 3.4 when there was no change in the cost of installing a BESS and a PCS, it was more economical to link to the BESS than the operation of the PV system alone. In Gyeongsangnam-do, it was revealed that if the REC weight was reduced to 3.4, it was more likely to link to the BESS than the operation of the PV system alone.

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“…In some cases, transmission system operator often gives incentives to plants with BESS or limit generation from plants without a storage system. In Korea, PV plants with BESS installed in generating sites can receive profit in addition to sales to the electricity market by SMP [25]. The amount of incentives is proportional to the total production of power that discharged from BESS only, and BESS can only charge from powers of PV sources.…”

Section: Planning Of Pv System With Substationmentioning

confidence: 99%

A Study on Sizing of Substation for PV With Optimized Operation of BESS

2020

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Recent development and cost down of PV(Photovoltaic) technology drive change of power system structure. The participation of PV generation is increasing, and the size of each PV farm is getting larger. In order to integrate large PV farms into the main grid, substation for interconnection needs to be sized properly. Unlike substations for load and conventional generators, PV farm substation has an uneven utilization ratio due to characteristics of solar radiation. With proper sizing method for the capacity of the substation can reduce the building cost of facilities. A combination of an energy storage system can further reduce the capacity of the substation. Battery energy storage system (BESS) can shift the peak production of PV during the daytime to midnight. According to market circumstances, BESS can reduce further construction costs by producing profit based on time difference of electric cost. For proper sizing of substation capacity, several factors must be considered including environmental factors, market structure and BESS in the system. In this paper, a series of assessment methodology is introduced to calculate the optimized capacity of substation and BESS for PV farm interconnection. The long-term solar radiation data is analyzed for a given site of the PV farm. Based on market structure, the operation of BESS is optimized to make maximum profit during operation. The iterative calculation of each step results in the calculation of the optimized capacity of BESS and substation for given PV farm size.

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Development of Optimal Energy Storage System Sizing Algorithm for Photovoltaic Supplier in South Korea

Cited by 15 publications

References 5 publications

Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination

Optimal Capacity Allocation of Energy Storage in Distribution Networks Considering Active/Reactive Coordination

An Assessment of the Optimal Capacity and an Economic Evaluation of a Sustainable Photovoltaic Energy System in Korea

A Study on Sizing of Substation for PV With Optimized Operation of BESS

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