Dump Load Allocation in Islanded Microgrid with Robust Backward\Forward Sweep and MIDACO

Kreishan, Maen Z.; Zobaa, Ahmed F.

doi:10.1109/upec55022.2022.9917779

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…The parameter selection is recommended at the respective values to allow for the best mix between exploration, exploitation, and speed [33]. Lastly, to initialize the GBFS optimization problem [52,66], the parameters FSTOP and FOCUS were set to 10 −8 and 100, respectively. A hard-stopping criterion is chosen for MIDACO by fixing the maximum number for function evaluations, known as MAXEVAL, to 10,000.…”

Section: Resultsmentioning

confidence: 99%

Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

Kreishan

Zobaa

2023

Energies

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Reliable droop-controlled islanded microgrids are necessary to expand coverage and maximize renewables potential. Nonetheless, due to uncertainties surrounding renewable generation and load forecast, substantial power mismatch is expected at off-peak hours. Existing energy management systems such as storage and demand response are not equipped to handle a large power mismatch. Hence, utilizing dump loads to consume excess power is a promising solution to keep frequency and voltage within permissible limits during low-load hours. Considering the uncertainty in wind generation and demand forecast during off-peak hours, the dump load allocation problem was modeled within a scenario-based stochastic framework. The multi-objective optimization with uncertainty was formulated to minimize total microgrid cost, maximum voltage error, frequency deviation, and total energy loss. The mixed-integer distributed ant colony optimization was utilized in a massive parallelization framework for the first time in microgrids to solve the decomposed deterministic problem of the most probable scenarios. Moreover, a flexible and robust load-flow method called general backward/forward sweep was used to obtain the load-flow solution. The optimization problem was applied to the IEEE 69-bus and 118-bus systems. Furthermore, a cost benefit analysis was provided to highlight the proposed method’s advantage over battery-based power management solutions. Lastly, the obtained results further demonstrate the fundamental role of dump load as power management solution while minimizing costs and energy losses.

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Section: Resultsmentioning

confidence: 99%

Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

Kreishan

Zobaa

2023

Energies

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“…• Jacobian-based methods-these include NR methods and their variants to solve the nonlinear system related to power flow through Jacobian matrix calculation [18,21,27]; • Backward/forward methods-these use the Kirchhoff law [28,29] and radial topology to attractively solve the power flow equations based on the fixed-point method; • Gauss-Zbus methods-these use an iterative process to obtain the solution of a power network through nodal matrix analysis [30,31]; • Approximations-these utilize the first order Taylor expression to obtain the Jacobian matrix through nodal matrix analysis using the current injection [32,33].…”

Section: Introductionmentioning

confidence: 99%

A Homotopy-Based Approach to Solve the Power Flow Problem in Islanded Microgrid with Droop-Controlled Distributed Generation Units

2023

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This paper proposes a homotopy-based approach to solve the power flow problem (PFP) in islanded microgrid networks with droop-controlled distributed generation (DG) units. The technique is based on modifying an “easy” problem solution that evolves with the computation of intermediate results to the PFP solution of interest. These intermediate results require the solution of nonlinear equations through Newton–Raphson (NR) method. In favor of convergence, the intermediate solutions are close to each other, strengthening the convergence qualities of the technique for the solution of interest. The DG units are modeled with operational power limits and three types of droop-control strategies, while the loads are both magnitude voltage- and frequency-dependent. To evaluate the method performance, simulations are performed considering the proposed and classical NR methods, both departing from a flat start estimation. Tests are carried out in three test systems. Different load and DG unit scenarios are implemented for a 6-, 38-, and 69-bus test system. A base case is studied for all systems, while for the two larger models, a loading factor is used to simulate the load augmenting up to the maximum value. The results demonstrated that for the largest-size model system, only the homotopy-based approach could solve the PFP for stringent requirements such as the diversification of the load profile and hard loading operation point.

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Dump Load Allocation in Islanded Microgrid with Robust Backward\Forward Sweep and MIDACO

Cited by 2 publications

References 19 publications

Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

Scenario-Based Uncertainty Modeling for Power Management in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

A Homotopy-Based Approach to Solve the Power Flow Problem in Islanded Microgrid with Droop-Controlled Distributed Generation Units

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