Optimal operation management of microgrids using the point estimate method and firefly algorithm while considering uncertainty

Mohammadi, Sirus; Mozafari, Babak; Soleymani, Soodabeh

doi:10.3906/elk-1207-131

Cited by 31 publications

(20 citation statements)

References 33 publications

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“…Some papers, as [8][9][10] deal with MGs in grid-connected mode. In [9] an online active power optimized dispatch is proposed using different non-linear programming tools.…”

Section: Energy Management Optimizationmentioning

confidence: 99%

Research experimental platforms to study microgrids issues

Camblong

Curea

Etxeberria

et al. 2015

Int J Interact Des Manuf

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Microgrid (MG) concept is becoming increasingly mature. It allows integrating better distributed generation, and especially renewable energy sources, in the grid. However, many issues have still to be resolved before implementing this concept in the real power system extensively. This paper presents first a review of the main issues associated to microgrids dealt with in the scientific literature. The different issues are classified and some examples of carried out studies are given for each issue. Then, a short review of existing experimental microgrids is done. They are classified in small-size and real-size experimental MGs. After that, the EneR-GEA experimental MG or platform of ESTIA Engineering School is presented, describing its different components. Then, some carried out experiments are explained. To finish, the main planned projects at short and medium term related to this platform are given.

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“…Some papers, as [8][9][10] deal with MGs in grid-connected mode. In [9] an online active power optimized dispatch is proposed using different non-linear programming tools.…”

Section: Energy Management Optimizationmentioning

confidence: 99%

Research experimental platforms to study microgrids issues

Camblong

Curea

Etxeberria

et al. 2015

Int J Interact Des Manuf

View full text Add to dashboard Cite

show abstract

“…The stochastic nature of the wind speed poses an obstacle for operational planning of the distribution systems. Thus, probabilistic approaches are required to accommodate all uncertainties caused by wind power generation [11]. In [12], Liang et al presented a fuzzy optimization approach to solve the VVC problem in a distribution system considering uncertainties in hourly load demands and wind speed forecast.…”

Section: Introductionmentioning

confidence: 99%

A new market-based approach for daily Volt/Var control of distribution systems in the presence of distributed energy resources using Benders decomposition algorithm

Samimi¹,

Kazemi²

2016

Turk J Elec Eng & Comp Sci

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Distributed energy resources (DERs), if properly coordinated with other Volt/Var control (VVC) devices, could be incorporated in daily VVC problem. In this paper, a new 2-stage model is presented for daily VVC of distribution systems including DERs, taking into account environmental and economic aspects. First, in the day-ahead market, an initial environmental-economic dispatch is performed to minimize both the electrical energy costs and the gas emissions pertaining to generation units. The initial scheduling results determined by the market operator are delivered to the second stage, namely the daily optimal dispatches of VVC devices, to examine them from operational viewpoints and to yield the daily optimal dispatches of the VVC devices. The objective function of the second stage consists of the total cost of the following components: active power losses, adjustment of the initially scheduled active powers, and depreciation of switchable devices. In this paper, attention is directed towards 2 important types of DERs to be connected to the network: synchronous machine-based distributed generations and wind turbines. Because the active and reactive powers of DERs are coupled via the capability diagram, in this paper, this issue is addressed by considering the capability diagram of DERs in the proposed model. In particular, the Q-capability diagram of wind turbines should be analyzed taking the hourly wind speed fluctuations into consideration, so that delivery of a uniform reactive power can be ensured over the entire hour of operation. Due to the complexity of solving mixed integer nonlinear programming problems, an algorithm based on Benders decomposition is suggested to solve the proposed VVC model in the second stage. Finally, 2 standard distribution test networks are utilized to validate the effectiveness of the proposed method.

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“…In this article, a new swarm optimization technique known as the firefly (FF) algorithm, developed by Yang, was implemented to solve the UC problem using a FF algorithm with multiple workers in a parallel computing environment. It was successfully implemented on various mathematical functions and power system optimization problems and compared with other heuristic optimization algorithms [12,13] and the results obtained were found to be encouraging.…”

Section: Introductionmentioning

confidence: 99%

Firefly algorithm with multiple workers for the power system unit commitment problem

Koodalsamy¹,

Veerayan²,

Koodalsamy³

et al. 2016

Turk J Elec Eng & Comp Sci

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This paper proposes an improved firefly (FF) algorithm with multiple workers for solving the unit commitment (UC) problem of power systems. The UC problem is a combinatorial optimization problem that can be posed as minimizing a quadratic objective function under system and unit constraints. Nowadays, highly developed computer systems are available in plenty, and proper utilization of these systems will reduce the time and complexity of combinatorial optimization problems with large numbers of generating units. Here, multiple workers are assigned to solve a UC problem as well as the subproblem, namely economic dispatch (ED) in distributed memory models. The proposed method incorporates a group search in a FF algorithm and thereby a global search is attained through the local search performed by the individual workers, which fine tune the search space in achieving the final solution. The execution time taken by the processor and the solution obtained with respect to the number of processors in a cluster are thoroughly discussed for different test systems. The methodology is validated on a 100 unit system, an IEEE 118 bus system, and a practical Taiwan 38 bus power system and the results are compared with the available literature.

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Optimal operation management of microgrids using the point estimate method and firefly algorithm while considering uncertainty

Cited by 31 publications

References 33 publications

Research experimental platforms to study microgrids issues

Research experimental platforms to study microgrids issues

A new market-based approach for daily Volt/Var control of distribution systems in the presence of distributed energy resources using Benders decomposition algorithm

Firefly algorithm with multiple workers for the power system unit commitment problem

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