Title :
Optimal parameter setting of performance based regulation with reward and penalty
Author :
XU, Nuo ; Wen, Fushuan ; Huang, Minxiang ; Dong, Zhaoyang
Author_Institution :
Zhejiang Univ., Hangzhou
Abstract :
The employment of performance based regulation (PBR) in distribution systems could provide some incentive for improving operating efficiency and reducing electricity prices. However, if the PBR mechanism is not properly designed, the enforcement of the PBR may have a negative effect on the supply reliability. In this paper, a mathematical model for optimally setting the parameters of the PBR with a reward/penalty structure is presented, with the minimization of the costs associated with the enforcement of the PBR as the objective and the required reliability level for the distribution system operation as the constraint. Finally, the well-known genetic algorithm is employed for solving the optimization problem. The effectiveness of the approach is demonstrated on a sample example.
Keywords :
electricity supply industry; genetic algorithms; power distribution; power distribution reliability; pricing; cost minimization; electricity price reduction; genetic algorithm; optimization problem; penalty structure; power distribution systems; power regulation; reward structure; supply reliability; Bioreactors; Cost function; Employment; Genetic algorithms; Maintenance; Mathematical model; Power quality; Power system modeling; Power system reliability; Risk management; distribution company; electricity market; performance based regulation; reliability; reward/penalty mechanism;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4424817