Multiple Objective Compromised Method for Power Management in Virtual Power Plants

• Main Authors: Yanchi Zhang, Jinxia Gong, Chuanwen Jiang, Da Xie
• Format: Article
• Language: English
• Published: MDPI AG 2011-04-01
• Series: Energies
• Subjects: multiple objective optimization; VPP; satisfaction decision making; priority
• Online Access: http://www.mdpi.com/1996-1073/4/4/700/

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.