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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; in revised form: 6 April 2011 / Accepted: 18 April 2011 / Published: 21 April 2011
(This article belongs to the Special Issue Future Grid
Abstract: 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.
Keywords: multiple objective optimization; VPP; satisfaction decision making; priority
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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.
Gong J, Xie D, Jiang C, Zhang Y. Multiple Objective Compromised Method for Power Management in Virtual Power Plants. Energies. 2011; 4(4):700-716.
Gong, Jinxia; Xie, Da; Jiang, Chuanwen; Zhang, Yanchi. 2011. "Multiple Objective Compromised Method for Power Management in Virtual Power Plants." Energies 4, no. 4: 700-716.