A Novel Adaptive Frequency Control Strategy for Micro Grid

Bhakar, Priya Singh; Rao, G. Kesava; Sarangi, Saumendra

doi:10.1109/indicon.2017.8487532

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…The motivation behind DL allocation to minimize V− f deviations relates back to previous DL use as a heating and pumping application [57,58]. Nonetheless, previous DL attempts were targeted at a generating bus without reference to operation at off-peak hours.…”

Section: Objective Functionsmentioning

confidence: 99%

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Kreishan

Zobaa

2022

Energies

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Dump load (DL) utilization at low demand hours in highly penetrated islanded microgrid is of great importance to offer voltage and frequency regulation. Additionally, load flow (LF) convergence is vital to optimize the working states of the DL allocation problem. Hence, more analysis is necessary to highlight the significance of DL in power regulation while observing the influence of LF on solution accuracy. This article proposes two LF techniques derived from backward/forward sweep (BFS), viz., general BFS (GBFS) and improved special BFS (SBFS-II). The latter is based on global voltage shared between generating units, while the former has a more general approach by considering generating bus’s local voltage. The optimal sizing and sitting of DL with optimum droop sets are determined using the mixed-integer distributed ant colony optimization (MIDACO) with the two new LF methods. The optimization problem was formulated to minimize voltage and frequency deviations as well as power losses. The problem was validated on IEEE 69- and 118-bus systems and compared with established metaheuristics. Results show that DL allocation using MIDACO with SBFS-II and GBFS has improved the solution speed and accuracy, respectively. Furthermore, the enhanced voltage and frequency results highlight DL as an efficient power management solution.

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Section: Objective Functionsmentioning

confidence: 99%

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Kreishan

Zobaa

2022

Energies

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“…As a result, ELC controlled DL has gained significant interest to assist with wind and hydro power control problems for synchronous and asynchronous units deployed in IMGs [14]- [17]. The use of DL in microgrids proved to be a good solution to maintain the flow of existing power and thus achieve 𝑉𝑉-𝑓𝑓 regulation while dissipating the excessive power as heating or pumping applications [18], [19]. However, the use of ELC is still at the developing stage in IMGs, as generator thermal strain and power wastage were identified as shortcomings to further deployment of DL in MGs [17].…”

Section: Introductionmentioning

confidence: 99%

Allocation of Dump Load in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

Kreishan

Zobaa

2022

IEEE Systems Journal

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In highly penetrated microgrids, the problem of voltage and frequency deviations exceeding their permissible limits, becomes significant with higher share of renewable based distributed generation. The existing real-time control systems of highly penetrated microgrids cannot cope on its own with such deviations, owing to the large generation and demand mismatch mainly during off-peak hours. A dump load can help with voltage and frequency regulation by consuming excess generation. However, further investigation is required to highlight the importance of optimal dump load allocation on the operation of microgrids. The mixed-integer distributed ant colony optimization is introduced as a novel application in droop controlled islanded microgrids to minimize voltage and frequency deviations and system losses. The optimization problem was formulated as a single-and multi-objective problem to allocate a dump load and the optimal droop settings for distributed generation in islanded microgrid during off-peak hours. The proposed optimization method was teamed up with a special backward/forward sweep load flow method to account for distributed generation droop characteristics and enhance the solution convergence. The method was applied to the IEEE 69-and 118-test systems and validated against competitive swarm and evolutionary metaheuristics. Results have shown that an optimally sized and allocated dump load with optimized droop setting could minimize voltage and frequency deviations to an acceptable level, while reducing power losses incurred by the installation of such load into the microgrid.

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A Novel Adaptive Frequency Control Strategy for Micro Grid

Cited by 2 publications

References 14 publications

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Mixed-Integer Distributed Ant Colony Optimization of Dump Load Allocation with Improved Islanded Microgrid Load Flow

Allocation of Dump Load in Islanded Microgrid Using the Mixed-Integer Distributed Ant Colony Optimization

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