Probabilistic and multi‐objective approach for planning of microgrids under uncertainty: a distributed architecture proposal

Machado, Pedro Henrique Ferreira; Netto, Roberto S.; Souza, Luiz Edival de; Maun, Jean Claude

doi:10.1049/iet-gtd.2018.6242

Cited by 5 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2) The obtained historical data are classified into twelve months and then a suitable distribution fitting is obtained for each hour in each month. The Weibull distribution function is used to fit the wind speed data and the Normal (Gaussian) distribution function is used to fit the solar irradiance and temperature data [8], [34]- [36]. The probability distribution function or probability density function (PDF) of the Weibull distribution function is calculated using the following equation:…”

Section: B Modeling Uncertainties In Wind Speed Solar Irradiance and ...mentioning

confidence: 99%

Sizing of Microgrid System Including Multi-Functional Battery Storage and Considering Uncertainties

et al. 2023

View full text Add to dashboard Cite

Battery storage units (BSUs) are usually used to perform a single function in most planning studies related to microgrids (MGs). This paper presents an effective methodology to use the BSUs to perform multi-function including supply/demand matching and energy arbitrage. This is done according to a system policy containing all possible scenarios to fully utilize the BSUs to maximize the benefit. In the proposed work, the optimal sizing of the MG system under study containing wind turbines (WTs), photovoltaic system (PV), BSUs, and diesel units (DUs) is obtained. The main objectives of the proposed methodology are; 1) minimizing the total costs of the MG, 2) minimizing the harmful gas emissions, and 3) minimizing the accumulated power difference between the generation from renewable energy systems (RESs) and the demand. Due to the stochastic behavior of the output from the RESs, the uncertainties of wind speed, solar irradiance, and temperature are considered in the study. Two modes of operation of the MG (grid-connected and islanded) and the demand side management (DSM) are also considered. The problem is formulated as a constrained nonlinear optimization problem and is solved using two metaheuristic optimization algorithms, Moth-Flame Optimization (MFO) and Hybrid Firefly and Particle Swarm Optimization (HFPSO). Moreover, the uncertainties in the different parameters are considered by using the Latin Hypercube Sampling (LHS) method to generate samples of wind speed, solar irradiance, and temperature. To examine the proposed methodology, different case studies are presented and discussed. Moreover, the results of the used two algorithms, MFO and HFPSO, are compared to show their effectiveness in solving the proposed problem and assure the optimal solution. The optimization problem is implemented and solved using MATLAB software.

show abstract

Section: B Modeling Uncertainties In Wind Speed Solar Irradiance and ...mentioning

confidence: 99%

Sizing of Microgrid System Including Multi-Functional Battery Storage and Considering Uncertainties

et al. 2023

View full text Add to dashboard Cite

show abstract

“…e capital recovery factor (CRF) is multiplied by the total investment cost, and the annual cost of investment (AC) is calculated as follows [27]:…”

Section: Second Objectivementioning

confidence: 99%

Grid-Tied Hybrid AC-DC Microgrid: Finding Optimal Number of Parallel-Connected AC-DC Bidirectional Interfacing Converters

Estabragh

Dastfan

Rahimiyan

2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

Linking AC and DC microgrids via a bidirectional AC-DC interfacing converter has emerged the hybrid AC-DC microgrid. The DC bus is connected to the grid by a series converter to mitigate the grid voltage’s power quality problems. To enhance the reliability and to increase transferring active and nonactive powers between DC and AC main buses, the AC-DC bidirectional interfacing converters are connected in parallel. In this paper, the optimal number (n) of parallel-connected bidirectional interfacing converters is obtained to minimize the annual cost of investment and the reliability cost. A two-step deciding algorithm is proposed to find n. First, active and nonactive powers between DC and AC buses are obtained with power quality and power flow considerations. Based on two types of powers, two reliability indices are calculated, including the expected energy shortage (EES) based on active power and the expected Volt-Amps shortage (EVAS) based on nonactive power. The sum of two reliability index costs is considered as the reliability cost. Next, a decision-making strategy is executed to determine the optimal n by making a trade-off between minimization of two objectives: the annual cost of investment and the reliability cost. The simulations of a grid-tied hybrid AC-DC microgrid are done with the experimental measurement data of DC and AC loads and distributed generations. Simulation results verify the performance of the represented approach.

show abstract

“…The studies reported in literature make use of conventional reliability indices such as loss of load expectation (LOLE) [23, 24, 28], loss of load probability (LOLP)/loss of power supply probability [23, 25, 29, 30], expected energy not served (EENS) [6, 7, 21, 26, 31, 32] for reliability assessment. These indices though suitable for system with conventional generation are not adequate to acknowledge intermittent behaviour of RES and energy limited capabilities of storage.…”

Section: Introductionmentioning

confidence: 99%

“…The system reliability in presence of wind based DERs considering intermittent nature of RES has also been investigated by Ming et al [15]. Though, reliability benefits in presence of RES based DERs have been studied in [15][16][17][22][23][24], the correlation of different penetration levels of RES based DERs and system reliability has not been examined.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability

Paliwal

Patidar

Nema

2020

IET Renewable Power Generation

View full text Add to dashboard Cite

Probabilistic and multi‐objective approach for planning of microgrids under uncertainty: a distributed architecture proposal

Cited by 5 publications

References 45 publications

Sizing of Microgrid System Including Multi-Functional Battery Storage and Considering Uncertainties

Sizing of Microgrid System Including Multi-Functional Battery Storage and Considering Uncertainties

Grid-Tied Hybrid AC-DC Microgrid: Finding Optimal Number of Parallel-Connected AC-DC Bidirectional Interfacing Converters

Probabilistic indices for analysing the impact of penetration of distributed energy resources on system reliability

Contact Info

Product

Resources

About