Stochastic Networked Microgrid Energy Management With Correlated Wind Generators

Malekpour, Ahmad; Pahwa, Anil

doi:10.1109/tpwrs.2017.2650683

Cited by 107 publications

(45 citation statements)

References 42 publications

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“…One of the most important features of the conic formulations is their convexity which guarantees the global optimal solution. Reference 47 proves that the solution of optimal power flow with angle relaxation (OPF-ar) is always precise for radial distribution networks and the solution of optimal power flow with conic relaxation (OPF-cr) is exact if all inequality constraints (18) are converged to the equality ones (17). 46 In this study, the reconfiguration problem is modeled as a MISOCP formulation based on OPF-cr.…”

Section: Load Flow and Radiality Constraintsmentioning

confidence: 99%

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

Sedighizadeh

Shaghaghi‐shahr

Aghamohammadi

et al. 2020

Int Trans Electr Energ Syst

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Summary In this article, the optimal distribution feeder reconfiguration (DFR) and optimal generation scheduling (OGS) are simultaneously taken into account to enhance operational flexibility and efficiency in microgrids (MGs). The proposed model considers different features of MGs, including distributed generation (DG) units, plug in hybrid electric vehicles (PHEVs), and demand response (DR) programs. Three DR programs are modeled including, load shifting, load curtailing, and time of use (TOU) programs. Uncertainties of renewable generations and loads are modeled using a computationally competitive approach. Both controlled and uncontrolled charging/discharging patterns of PHEVs are investigated. To enhance tractability, the proposed model is formulated as a mixed‐integer second‐order cone programing (MISOCP) problem to minimize operational cost subject to technical and financial constraints. To evaluate the performance of the proposed model, it is examined on the balanced 33‐bus test systems in different case studies of DFR and OGS. The optimization problem is solved using the GAMS software package. It is found that PHEVs and DR not only enhances MG operation flexibility, but they also reduce the total operation cost and smooth load profile.

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Section: Load Flow and Radiality Constraintsmentioning

confidence: 99%

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

Sedighizadeh

Shaghaghi‐shahr

Aghamohammadi

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…Authors of Reference 18 have proposed a stochastic multi‐objective model for optimal dynamic planning of MMG system considering the uncertainties arising from economic, technical, reliability, and environmental viewpoints. Similarly, in Reference 19 a stochastic model is proposed to energy scheduling of MMG systems considering correlated power generation of WTs. In Reference 20, a risk based energy management model is proposed for MMG systems to minimize total cost of operation, total cost of energy not supplied, and total cost of emission.…”

Section: Introductionmentioning

confidence: 99%

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

Sarcheshmeh

Taher

Mazidi

2020

Int Trans Electr Energ Syst

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Summary Small size of microgrids (MGs), low inertia, and small scale of distributed generations, and high intermittent energy delivery of renewable generations, make the frequency security an important issue in the islanded multi‐microgrids (IMMG) systems which should be considered subject to the techno‐economic constraints of MGs. Motivated by this need, this article proposes a two‐stage stochastic optimization model for day‐ahead energy and reserve scheduling of IMMG systems. The objective of the proposed model is to minimize total operation cost of IMMG while the frequency security of system is preserved within a predefined range. To this end, the hierarchical frequency structure of IMMG system including primary, secondary, and tertiary control levels are precisely formulated in mixed‐integer linear programming format which can be efficiently solved by optimization software package. Meanwhile, to promote the proposed model, responsive loads and energy storage systems are considered in the energy and reserve scheduling problem. The proposed model is applied to a typical IMMG system to optimize energy and reserve scheduling over 24‐hr horizon. The obtained results verify that through the proposed model, the operation costs of MGs are minimized while frequency security of the system is preserved in a cost‐effective manner.

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“…Although such optimizations guarantee a global optimal utilization of resources, they fail to meet privacy protection, scalability and openness requirements. Besides, MESs may have different owners and schedule resources based on their own economic rules and policies [2], [8]. This indicates that a direct decision authority or compulsory dispatch orders can be unpractical.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework

2019

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Motivated by the benefits of multi-energy integration, this paper establishes a bi-level two-stage framework based on transactive control, in order to achieve optimal energy provision among interconnected multi-energy systems (MESs). At the lower level, each MES autonomously determines the optimal set points of each controllable assets by solving a cost minimization problem, in which rolling horizon optimization is adopted to deal with load and renewable energies stochastic features. A technique is further implemented for optimization model convexification by relaxing storages complementarity constraints, and its mathematical proof verifies the exactness of the relaxation. At the upper level, a coordinator is established to minimize total costs of collaborative interconnected MESs while preventing transformer overloading. This collaborative problem is further decomposed and solved iteratively in a two-stage procedure based on market-clearing mechanism. A distinctive feature of the method is that it is compatible with operational time requirement, while retaining scalability, information privacy and operation authority of each MES. Effectiveness of the proposed framework is verified by simulation cases that conduct detailed analysis of the autonomous-collaborative optimization mechanism.

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Stochastic Networked Microgrid Energy Management With Correlated Wind Generators

Cited by 107 publications

References 42 publications

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

A new optimal operation framework for balanced microgrids considering reconfiguration and generation scheduling simultaneously

A stochastic frequency security constrained optimization model for day‐ahead energy and reserve scheduling of islanded multi‐microgrids systems

Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework

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