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Energies 2011, 4(4), 700-716; doi:10.3390/en4040700

Multiple Objective Compromised Method for Power Management in Virtual Power Plants

School of Electronic, Information and Electrical Engineering, Shanghai Jiao Tong University, No. 800, Dongchuan Road, Minhang, Shanghai 200240, China
Department of Automation, East China University of Science and Technology, Shanghai 200237, China
Author to whom correspondence should be addressed.
Received: 22 February 2011 / Revised: 6 April 2011 / Accepted: 18 April 2011 / Published: 21 April 2011
(This article belongs to the Special Issue Future Grid)
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In practical optimization, a priority requirement for different objectives of multiple objective optimization problems should be considered. In this paper, the distributed power management of a Virtual Power Plant (VPP) with priority requirement is optimized by the compromised method. The operation optimization model of VPP is formulated as a fuzzy multiple objective optimization problem considering the satisfaction of customers and suppliers, the system stability, the power quality, and costs with operation limitations. The multiple objective optimization algorithm with the compromise of the satisfactory degree and the priority of objectives is studied based on the principle of two-step interactive satisfactory optimization. This method is also applied in a test system. View Full-Text
Keywords: multiple objective optimization; VPP; satisfaction decision making; priority multiple objective optimization; VPP; satisfaction decision making; priority

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gong, J.; Xie, D.; Jiang, C.; Zhang, Y. Multiple Objective Compromised Method for Power Management in Virtual Power Plants. Energies 2011, 4, 700-716.

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