Heuristic probabilistic power flow algorithm for microgrids operation and planning

Nikmehr, Nima; Ravadanegh, Sajad Najafi

doi:10.1049/iet-gtd.2014.0570

Cited by 52 publications

(19 citation statements)

References 34 publications

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“…A type of permanent magnet direct-drive wind turbine manufactured by GHRE-Power is adopted in this microgrid. e output power of wind turbine can be calculated by the following equation [39]:…”

Section: Wind Turbinementioning

confidence: 99%

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

Guo-ping

Wang

et al. 2020

Journal of Electrical and Computer Engineering

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Microgrid is an effective way to utilize renewable energy resources, especially for satisfying the electricity requirements in remote islands. The operation optimization of an island microgrid is critical to ensure the effective performance of the whole microgrid system, and it is usually a multiconstrained and multiobjective optimization problem. The main contribution of this study is an operation optimization method for the stand-alone microgrid system in a remote island, which includes wind, PV, battery, and diesel generator. In this paper, a novel operation optimization model for stand-alone microgrid is proposed, in which the battery system is considered separately; the multiobjective day-ahead optimization model considering economic cost, battery depreciation cost, and environmental protection cost is established. In the optimization, the output power of diesel generator and energy storage system are chosen as the decision variables. For this purpose, an efficient search algorithm combining the particle swarm optimization (PSO) algorithm and the simulated annealing (SA) algorithm is developed. The hybrid algorithm is applied to search for the Pareto solution set of the optimization problem. The search results are compared with those from traditional PSO algorithm. Also, a grey target decision-making theory based on the entropy weight method is proposed to identify the best trade-off scheduling scheme among all the solutions, and the results are compared with those from two other commonly used subjective and objective methods. The results show that the proposed optimization method can be applied to the day-ahead operation optimization of the microgrid system and help the user obtain the best compromise operation scheme for stand-alone microgrid.

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Section: Wind Turbinementioning

confidence: 99%

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

Guo-ping

Wang

et al. 2020

Journal of Electrical and Computer Engineering

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“…The model of the wind power plant uses the Weibull distribution [31] to determine the probability of the wind speed, which is used to calculate the generation distribution of the wind power plant. The power distribution of the solar power plant is calculated using the beta-distribution function describing the solar irradiance [5,33].…”

Section: Further Studiesmentioning

confidence: 99%

An Improved Two-Stage Optimization Procedure for Optimal Power Flow Calculation

Domyshev

Sidorov

Panasetsky

2020

Energy Systems Research

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The paper focuses on the problem of optimal power flow. Minimized production and transmission costs were considered to design an optimal power flow search method based on the novel two-stage optimization procedure that takes into account the voltage and power constraints. As a result, the efficient optimum search method for the non-convex optimal power flow problem is proposed and implemented. The efficient L-BFGS-B optimization algorithm is employed to allow for the constraints. The stochastic modification of the global optimization algorithm of the Lipschitz function was used in the first stage to improve the L-BFGS-B method. Two illustrative examples on the IEEE 118-bus test scheme and real regional grid demonstrate the efficiency of the proposed two-stage optimization procedure. The possibility of taking into account the renewable sources in the proposed optimal power flow algorithm is briefly discussed

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“…A novel of load flow algotirhm was proposed by the authors in [10] for calculating the distribution grid systems. Researchers in [11] implemented the traditional load flow method in distribution networks, but the method was not useful for active distribution system networks and the load was modelled 1145 using heuristic method. Another method called multi-agent communication system was proposed by the authors in [12] in order to solve for unbalanced radial distribution networks.…”

Section: Introductionmentioning

confidence: 99%

Improved load flow formulation for radial distribution networks

Mohamed

Ishak

2019

IJEECS

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This paper aims to provide an improved load flow formulation for solving load flow problem in radial distribution networks. The improved algorithm is formulated from the basic Kirchoff’s voltage law. The proposed method does not need any matrix multiplication, and the voltage equation is derived to compute the voltage at each node. The proposed method is then tested on 28-bus, IEEE-33 and IEEE-69 systems of radial distribution networks with different resistance to reactance ratio and different condition of loads. The simulation results from the suggested algorithm show that the proposed method has fast convergence capability compared with other existing methods. A very good agreement is achieved.

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Heuristic probabilistic power flow algorithm for microgrids operation and planning

Cited by 52 publications

References 34 publications

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

A Multiobjective Optimal Operation of a Stand-Alone Microgrid Using SAPSO Algorithm

An Improved Two-Stage Optimization Procedure for Optimal Power Flow Calculation

Improved load flow formulation for radial distribution networks

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