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Energies 2017, 10(7), 1051; doi:10.3390/en10071051

Non-Convex Economic Dispatch of a Virtual Power Plant via a Distributed Randomized Gradient-Free Algorithm

1,2,* and 1
1
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
2
College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
*
Author to whom correspondence should be addressed.
Received: 26 June 2017 / Revised: 18 July 2017 / Accepted: 19 July 2017 / Published: 21 July 2017
(This article belongs to the Section Electrical Power and Energy System)
View Full-Text   |   Download PDF [1714 KB, uploaded 21 July 2017]   |  

Abstract

The economic dispatch problem of a virtual power plant (VPP) is becoming non-convex for distributed generators’ characteristics of valve-point loading effects, prohibited operating zones, and multiple fuel options. In this paper, the economic dispatch model of VPP is established and then solved by a distributed randomized gradient-free algorithm. To deal with the non-smooth objective function, its Gauss approximation is used to construct distributed randomized gradient-free oracles in optimization iterations. A projection operator is also introduced to solve the discontinuous variable space problem. An example simulation is implemented on a modified IEEE-34 bus test system, and the results demonstrate the effectiveness and applicability of the proposed algorithm. View Full-Text
Keywords: distributed randomized gradient-free algorithm; distributed randomized gradient-free oracles; non-convex economic dispatch; virtual power plant distributed randomized gradient-free algorithm; distributed randomized gradient-free oracles; non-convex economic dispatch; virtual power plant
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Xie, J.; Cao, C. Non-Convex Economic Dispatch of a Virtual Power Plant via a Distributed Randomized Gradient-Free Algorithm. Energies 2017, 10, 1051.

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