Evolutionary algorithm with fuzzy numbers for planning active distribution network

Capuder, Tomislav; Zidar, Matija; Škrlec, Davor

doi:10.1007/s00202-011-0225-3

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…The authors in [146] developed a BE method to solve the single-period DEP, and it has been used in the past few years to cope with the complexity and time and optimal planning of MV networks [85], [77]. Besides all the heuristic methods and evolutionary algorithm mentioned above, researchers proposed novel Evolutionary Algorithms (EA) [42], [54], [94], [115], [153], [154].…”

Section: Heuristic and Evolutionary Optimizationmentioning

confidence: 99%

“…The authors in [9], [42], [54], [153] use Pareto-ranking to determine the probability of proliferation of an individual and to find the set of non-dominated or nadir individuals in the population. They use a niching mechanism to avoid the convergence of the optimization procedure to a single region of the Pareto front.…”

Section: F Artificial Intelligent Techniquesmentioning

confidence: 99%

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Overview of Electric Energy Distribution Networks Expansion Planning

et al. 2020

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Planning of the electric distribution networks is complex and about upgrading the system to satisfy the demand and constraints with the best economic plan. The planning alternatives include the expansion of substations, installing new distributed generation (DG) facilities, upgrading distribution feeders, etc. In the modern networks, distribution planners must gain the confidence of the reversibility of the investment where renewable energy resources (RERs) inject clean and cost-effective electrical power to respond to the rising demand and satisfy environmental standards. This paper is an exhaustive review on the distribution network expansion planning (DEP) including the modelling of DEP (possible objective functions, problem constraints, different horizon time, and problem variables), optimization model (single/multi-objective), the expansion of distributed energy resources (DERs), problem uncertainties, etc. We discuss the requirements of integrated energy district master planning to avoid conflicts between the goal of independence of district planning on energy, e.g. heat and electricity, and that of dependencies on the local electric utilities regarding instant power balance and stability services. Finally, we describe the primary future R&D trends in the field of distribution network planning. INDEX TERMS Distribution expansion planning, distributed energy resources, multi-objective optimization, decomposition optimization, uncertainty handling.

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Section: Heuristic and Evolutionary Optimizationmentioning

confidence: 99%

Section: F Artificial Intelligent Techniquesmentioning

confidence: 99%

Overview of Electric Energy Distribution Networks Expansion Planning

et al. 2020

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“…The importance of GIS lays not only in visualization of the parts of the network operating close to their technical limits, but also as a central tool and a unified database for multiple advanced modules to assist in operation and planning. Optimization software, CADDiN, has been developed at the Faculty of Electrical Engineering and Computing, University of Zagreb, to determine the optimal grid layout for "green" and "brown" field problems [20]. This software visualizes the results in the GIS 2.0 environment.…”

Section: Geographical Referencing Of All Distribution Grid Elementsmentioning

confidence: 99%

Visualization of distribution system planning for engineers and decision-makers

Capuder¹,

Pandžić²,

Kuzle³

2017

Turk J Elec Eng & Comp Sci

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Abstract:Planning of an electric distribution network is a complex task, requiring a comprehensive approach that includes collecting and analyzing large amounts of technical and nontechnical data. In addition, the outcome of the planning procedure needs to be supported by economic analysis that provides pathways for future investments. In order to present the planning results to various groups of people, such as technical staff, managers, and politicians, different visualization techniques are used. Data visualization, as a branch of descriptive statistics, is important to understand and present information in an effective manner. The basic idea of visualization is to present data in a visual form, allowing a person to get a quick insight into the data, draw conclusions, and directly interact with the data. Some traditional methods, such as graphs, histograms, 2D column and line charts, single line diagrams, and 3D surfaces with contours, are mandatory for visualizing power data. However, in the electric power system business there is a growing need for geographically referenced visualization. While there is a lot of research being done on visualizing data in transmission power systems, the number of studies on display methods in distribution power systems is limited. The focus of this paper is the visualization of data used during the distribution network planning process.

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