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.
Highlights
Renewable energy sources will play an increasingly central role in future power network
The Virtual Power Plant (VPP) works as one unit power plant connected to different points of the medium voltage distribution network and to the thermal one
In actual decision making situations, sometimes it is practical for the decision maker (DM) to consider the different preemptive priorities in multiple objective optimization problem [11,12]
Summary
Renewable energy sources will play an increasingly central role in future power network. The VPP works as one unit power plant connected to different points of the medium voltage distribution network and to the thermal one. In actual decision making situations, sometimes it is practical for the decision maker (DM) to consider the different preemptive priorities in multiple objective optimization problem [11,12]. A conventional way to solve fuzzy multiple objective optimization problem with priority is lexicographic optimization method, where the objectives are arranged according to their absolute importance [16]. This paper considers the optimal operation of VPP as a multiple objective optimization problem with priority.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
