Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program

Lee, Hyun Gu; Kim, Gyu Gwang; Bhang, Byeong Gwan; Kim, David Kwangsoon; Park, Neungsoo; Ahn, Hyungkeun

doi:10.1109/access.2018.2865744

Cited by 29 publications

(14 citation statements)

References 18 publications

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“…The general approach of sizing batteries for incentives is charging entire production from PV plants during day time and discharge to market to receive maximum incentives. In Korea, average production from a 1MW PV generator is 4-5MWh per day and under subsidy for ESS installation, the empirical optimum size of ESS is around 3.77MWh [26] with 1MW PCS. This is corresponding to batteries with 0.26 C-rate value and thus, for the optimization process, a number of scenarios are prepared to include cases that have C-rate value of 0.25.…”

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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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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“…Because the amount of PV generation must be charged to the ESS, both the rated capacity of the INV for PV and the PCS for ESS are implemented to be equal as 100 kW. Also, the rated capacity of ESS is designed such that it is 2.5 to 3 times bigger than that of maximum PV generation [22], [23]. Therefore, the ESS of 274 kWh is connected to the PEIS.…”

Section: B Verification On Real Test-bedmentioning

confidence: 99%

Practical Power Management of PV/ESS Integrated System

et al. 2020

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This study proposes the practical power management of integrated system with photovoltaic (PV) and energy storage system (ESS) to solve the line congestion and voltage problems in a distribution system while considering the electricity price and state of charge (SOC) of ESS. In addition, the proper power management of PV/ESS integrated system (PEIS) enables to increase the hosting capacity of renewable energies in a distribution system and to maximize the profit of independent power producer (IPP). In this study, the real power management of PEIS of 100 kW is implemented in practice and tested with the actual measurements for 3 days. The results show that the proposed method deals with the line congestion problem effectively and efficiently while increasing the profit of IPP by 11%. In particular, the reactive power control based on the international electrotechnical commission (IEC) standard, IEC 61850-90-7 is applied to the PEIS, and it can successfully mitigate the variations of voltage in a distribution system.

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“…Therefore, installations of energy storage systems (ESSs) with the RESs increase their power supply reliability and improve their technoeconomical issues for long-term operation [8], [9]. The selection, sizing, and control of various existing ESS are crucial factors for wide installation of RESs [10].…”

Section: Introductionmentioning

confidence: 99%

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

Aly

Rezk

2020

IEEE Access

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Recently, fuel cells (FCs) have found vast employment in several applications. However, unique maximum power point tracking (MPPT) exists for each set of operating condition for the efficient operation of FCs. Therefore, this paper presents a differential evolution optimization algorithm (DEOA)based optimized fuzzy-logic (OFLC) MPPT method for enhancing the maximum power extraction of FCs. The various settings for the membership functions (MFs) of the input and output variables are optimized in the proposed method. Thence, more degree-of-freedom can be employed for accurate and fast tracking of the optimal power point of the proton exchange membrane FCs (PEMFCs). Whereas, existing MPPT methods in the literature for FC applications suffer from decreased degree-of-freedom for optimizing their performance, and lack of adaptivity, which obstructs their suitability for the wide operating range of FCs. The superiority and performance effectiveness of the proposed OFLC MPPT method have been validated and compared with the most prevalent techniques in the literature. Moreover, the robustness and sensitivity of the proposed OFLC MPPT method have been tested at various step changes in the water content of membrane and various temperature changes. Moreover, the proposed design of the suggested OFLC MPPT is general and it can be implemented on low-cost microcontrollers. The results verify the superior performance of the proposed OFLC MPPT method from the accurate and fast MPPT extraction, smooth output power with low ripple, and simplicity of the design point of views. INDEX TERMS Differential Evolution Optimization Algorithm (DEOA), fuel cell (FC), fuzzy logic control (FLC), maximum power point tracking.

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Design Algorithm for Optimum Capacity of ESS Connected With PVs Under the RPS Program

Cited by 29 publications

References 18 publications

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

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

Practical Power Management of PV/ESS Integrated System

A Differential Evolution-Based Optimized Fuzzy Logic MPPT Method for Enhancing the Maximum Power Extraction of Proton Exchange Membrane Fuel Cells

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