Stochastic distributed microgrid energy management based on over‐relaxed alternative direction method of multipliers

Afrasiabi, Mousa; Mohammadi, Mohammad; Rastegar, Mohammad; Afrasiabi, Shahabodin

doi:10.1049/iet-rpg.2019.1395

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…In [25], a multi-agent system is presented to handle both agent benefits and technical constraints in a scenario-based framework. In [26], a multilayer control and planning structure is proposed, which in the first layer, 24-h scheduling minimizes costs and CO 2 emissions.…”

Section: Introductionmentioning

confidence: 99%

A novel cost‐effective voltage fluctuations management in a droop‐controlled islanded microgrid

Majd

Kalantar

2022

IET Renewable Power Gen

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This paper presents a new energy management system (EMS) for an islanded microgrid (MG) to increase power system security cost-effectively. The small size of MGs, variations in renewable energy sources (RESs) output power, and low inertia of power electronic interfaced distributed energy resources (DERs) convert voltage fluctuations into a vital issue for the MG EMS. This paper proposes a two-stage stochastic multiobjective framework to simultaneously attain economic, environmental, and technical aims. In the first stage, many scenarios related to RESs output power variations, load demand changes, and DERs contingency outages are generated using Monte Carlo simulation. Afterwards, generated scenarios are reduced and applied to the second stage. A novel objective function based on the expected voltage fluctuations (EVFs) caused by active and reactive power variations is proposed, which is minimized alongside the active and reactive costs and MG emission. The proposed model is applied to a test MG, and active and reactive power and primary and secondary reserve scheduling are correctly accomplished for five different cases. Precise analysis confirms the notability and effectiveness of MG voltage fluctuations management in energy and reserve scheduling. Numerical results show more than 60% reduction in voltage fluctuations.

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Section: Introductionmentioning

confidence: 99%

A novel cost‐effective voltage fluctuations management in a droop‐controlled islanded microgrid

Majd

Kalantar

2022

IET Renewable Power Gen

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“…Although MGs' benefit for the advanced power networks is undeniable, there are also several challenges in the operation of the MGs. One of the key challenges is the inherent intermittency of renewable energy generation [4] and load consumption [5] at small-scale and management of supply-demand constraints in the most costeffective manner. The MG energy management system as the main core of the MGs operation is responsible for the coordinated operation of several demands within an MG, regardless of whether responsive or not, toward the most reliable and economic operational conditions [6].…”

Section: Introductionmentioning

confidence: 99%

Nonparametric Correlative-Probabilistic Microgrid Power Energy Management Based Sine-Cosine Algorithm

Nezhad

Saghafi²,

Delshad

et al. 2021

IEEE Access

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In modern power systems, microgrids play a pivotal role with several economical, technical, and environmental benefits. However, there are still challenges that need to be properly addressed, including: i) accurate modeling of the uncertain parameters behavior, ii) considering the correlation between the random variables, and iii) find the optimal solutions with low computational burden. To address these issues, this paper proposes a nonparametric-correlative stochastic framework for microgrids (MGs) energy management. The proposed method imposes no assumption on the probability density function of renewable generations and electrical load consumption. To this end, an improved kernel density estimator (IKDE) is presented to estimate the probability density function (PDF) of uncertain parameters, e.g., renewable generations and load. To account for the correlation between the uncertain parameters, Cholesky decomposition is utilized. Furthermore, a multi-objective MG energy management problem considering reliability has been reformulated, and to solve the problem, a sine-cosine optimization algorithm (SCOA) is developed. Numerical results demonstrate the effectiveness and superiority of the proposed stochastic framework through comparison with several optimization algorithms by reducing the total cost of MG more than 11% in comparison with several metaheuristic algorithms and stochastic frameworks with less than 1% error.

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A security-preserving framework for sustainable distributed energy transition: Case of smart city

Tahmasebi,

Sheikh,

Dabbaghjamanesh

et al. 2024

Renewable Energy Focus

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Stochastic distributed microgrid energy management based on over‐relaxed alternative direction method of multipliers

Cited by 6 publications

References 26 publications

A novel cost‐effective voltage fluctuations management in a droop‐controlled islanded microgrid

A novel cost‐effective voltage fluctuations management in a droop‐controlled islanded microgrid

Nonparametric Correlative-Probabilistic Microgrid Power Energy Management Based Sine-Cosine Algorithm

A security-preserving framework for sustainable distributed energy transition: Case of smart city

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