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Home / programming language / Online Matlab Projects / Economic Dispatch of Power Systems with Virtual Power Plant Based Interval Optimization Method
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Matlab Project - Power Electronics,final year projects.
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Economic Dispatch of Power Systems with Virtual Power Plant Based Interval Optimization Method

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SKU: PROJ7132 Categories: 2017 Projects, Final Year Projects, Online Matlab Projects, Power Electronics Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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Economic Dispatch of Power Systems with Virtual Power Plant Based Interval Optimization Method

Abstract— Load prediction and power prediction uncertainties are inevitable aspects of a virtual power plant (VPP). In power system economic dispatch (ED) modeling, the interval is used to describe prediction uncertainties. An ED model with interval uncertainty is established in this paper. The probability degree definition is adopted to convert the interval-based economic dispatch model into a deterministic model for the purposes of solving the modeling problem. Simulation tests are performed on a 10-machine system using professional optimization software (LINGO). The simulation results verify the validity of the proposed interval-based scheme for the economic dispatch of a power system with VPP. establishes an interval-based ED model for a power system with CPPs and VPPs. It utilizes the interval to describe the uncertainty of load prediction and VPP power prediction. The probability degree in the interval optimization method is then employed to transform the interval-based ED model into a deterministic one. The optimal dispatch scheme of the power system with CPPs and VPPs is obtained by solving the deterministic ED model. Finally, the proposed interval-based ED scheme is applied to a 10-machine power system for simulation. In the aforementioned methods, the probability distribution functions (PDFs) of the stochastic variables must be known in advance. < final year projects >

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