Modeling a Hybrid Microgrid Using Probabilistic Reconfiguration under System Uncertainties

Moradi, Hadis; Esfahanian, Mahdi; Abtahi, Amir-Reza; Zilouchian, Ali

doi:10.3390/en10091430

Cited by 20 publications

(12 citation statements)

References 37 publications

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“…A genetic algorithm to optimize the charging and discharging scheduling of prosumer batteries by minimizing the amount of energy exchanged with the main grid was presented by F. Berglund et al [2]. Moreover, several works present various approaches to optimize the energy scheduling of BESS in microgrid applications [23][24][25][26]. Previous works analyze the operation of microgrids including BESSs and present energy management strategies [27,28].…”

Section: State Of the Artmentioning

confidence: 99%

“…Equation (24) represents the solar PV investment, similar to Equation (5). The present value for maintenance cost of the PV system is computed as shown in Equation (25). The power from the solar PV system is calculated for all hours, seasons, and scenarios, while the optimal size of the PV system is determined by the algorithm and given the inputted PV potential data, as shown in Equation (26).…”

Section: Pv Generatorsmentioning

confidence: 99%

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Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

et al. 2020

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In the distribution system, customers have increasingly use renewable energy sources and battery energy storage systems (BESS), transforming traditional loads into active prosumers. Therefore, methodologies are needed to provide prosumers with tools to optimize their investments and increase business opportunities. In this paper, a stochastic mixed integer linear programming (MILP) formulation is proposed to solve for optimal sizes of prosumer assets, considering the use of a BESS and photovoltaic (PV) units. The objective is to minimize the total cost of the system, which is defined as the combination of a solar PV system investment, BESS investment, maintenance costs of assets, and the cost of electricity supplied by the grid. The developed method defines the optimal size of PV units, the power/energy capacities of the BESS, and the optimal value for initial energy stored in the BESS. Both deterministic and stochastic approaches were explored. For each approach, the proposed model was tested for three cases, providing a varying combination of the use of grid power, PV units, and BESS. The optimal values from each case were compared, showing that there is potential to achieve more economic plans for prosumers when PV and BESS technologies are taken into account.

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Section: State Of the Artmentioning

confidence: 99%

Section: Pv Generatorsmentioning

confidence: 99%

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

et al. 2020

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“…PV power, with natures of intermittency and probability, can notably affect the reliability of MG, especially when the PV penetration is high. During the day time, power output of PV with Beta-probability density function, is modeled as (2) [29], [30].…”

Section: B Pv Power Output Modelmentioning

confidence: 99%

Reliability Varying Characteristics of PV-ESS-Based Standalone Microgrid

et al. 2019

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Reliability is of critical importance for the microgrid (MG) and deserved more attention. Aiming at photovoltaics (PV) and energy storage system (ESS) based MG, the microturbine (MT), PV, ESS and comprehensive load (CL) which is composed of hourly time-varying component, stochastic component, and controllable component, are chronologically modeled and combined with model of load shedding minimization and sequential Monte Carlo (SMC) simulation algorithm. Then, the reliability assessment framework is developed and employed in the comprehensive case studies. Firstly, varying characteristics of reliability indices, including loss of load probability (LOLP), average service availability index (ASAI), system average interruption duration index (SAIDI), system average interruption frequency index (SAIFI) and customer average interruption duration index (CAIDI), over PV penetration are investigated, and the surge effect of SAIFI (SE-SAIFI) is especially put forward and studied, followed by the principle of PV capacity decision considering SE-SAIFI. Secondly, the clear pictures of reliability profiles over ESS sizes are depicted and analyzed, following with a novel method to reasonably decide ESS sizes based on the definition of expected hourly redundant power (EHRP). At last, reliability indices of multiple scenarios with different percentages of controllable load are calculated and the benefits of load management are analyzed in the viewpoint of reliability of standalone MG. Results of the case studies also confirm the necessities of reliability assessment during the MG planning and size optimization, and the validity of the methodologies developed in this work.INDEX TERMS Standalone microgrid, energy storage system, sequential Monte Carlo simulation, reliability varying characteristics.

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“…With the integration of hybrid systems, the size of the footprint would be reduced significantly. Moradi et al [27] in the Modeling of a Hybrid microgrid, concluded that high renewable energy penetration have substantial effect on the grid operation with respect to emission.…”

Section: Introductionmentioning

confidence: 99%

The Energy Cost Analysis of Hybrid Systems and Diesel Generators in Powering Selected Base Transceiver Station Locations in Nigeria

Oviroh

Jen

2018

Energies

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Abstract:As more locations gain access to telecommunication, there is a growing demand to provide energy in a reliable, efficient and environmentally friendly manner while effectively addressing growing energy needs. Erratic power supply and rising operation costs (OPEX) in Nigeria have increased the need to harness local renewable energy sources. Thus, identifying the right generator schedule with the renewable system to reduce OPEX is a priority for operators and vendors. This study evaluates the energy costs of hybrid systems with different generator schedules in powering base transceiver stations in Nigeria using the Hybrid Optimization Model for Electric Renewable (HOMER). A load range of 4 kW to 8 kW was considered using: (i) an optimised generator schedule; (ii) forced-on generator schedule and (iii) the generator-only schedule. The results showed an optimal LCOE range between averages of USD 0.156/kWh to 0.172/kWh for the 8 kW load. The percent energy contribution by generator ranges from 52.80% to 60.90%, and by the solar PV system, 39.10% to 47.20%. Excess energy ranges from 0.03% to 14.98%. The optimised generator schedule has the highest solar PV penetration of 56.8%. The OPEX savings on fuel ranges from 41.68% to 47% for the different load schedules and carbon emission savings of 4222 kg to 31,428.36 kg. The simulation results shows that powering base stations using the optimised hybrid system schedule would be a better option for the telecom industry.

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Modeling a Hybrid Microgrid Using Probabilistic Reconfiguration under System Uncertainties

Cited by 20 publications

References 37 publications

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Reliability Varying Characteristics of PV-ESS-Based Standalone Microgrid

The Energy Cost Analysis of Hybrid Systems and Diesel Generators in Powering Selected Base Transceiver Station Locations in Nigeria

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