کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Optimal Bidding Strategy of a Cascade Hydroelectric Unit in a Day-ahead Energy Market Using Particle Swarm Optimization

نویسندگان :

Shabnam Ahmadian Titkanloo¹ Sahar Ahmadian Titkanloo² Asghar Akbari Foroud³ Sadaf Ahmadian⁴ Soheil Ahmadian Titkanloo⁵

1- دانشگاه سمنان 2- دانشگاه آزاد اسلامی نجف آباد 3- دانشگاه سمنان 4- دانشگاه آزاد مشهد 5- موسسه آموزش عالی روزبهان ساری

کلمات کلیدی :

Optimal Bidding Strategy،Cascade Hydroelectric Unit،Day-ahead Energy Market،Bi-level Multi-objective Optimization،Particle Swarm Optimization

چکیده :

Abstract–Generating hydroelectric power performs an important role in the energy policy aiming at less dependency to fossil fuels. In deregulated environment based on profit, hydroelectric generating company is a utility owing individual generating facilities that participate in the electricity market with ultimate intention of maximizing its own payoffs. This paper solves coordination problem of Hydro-Thermal units and determining of price-taker cascade hydroelectric generating companies in a day-ahead energy market considering operational constraints and transition network constraints. Particle Swarm Optimization algorithm and Fuzzy Satisfying Method are employed for solving the proposed model and determining optimal bidding strategies. An eight-bus system is used to illustrate the proposed method.