کنفرانس منطقه ای سیرد

Optimal Allocation of Distributed Generation in Ditribution Network Using Eligibility Traces Algorithm

نویسندگان :

Shahrzad Amrollahi¹ Seyed mohammad ali Naseri javareshk² Naser Gharavi roudsari³ Aboalfazl Sharifi⁴ Toktam Badri ramezani⁵

1- دانشگاه صنعتی سجاد مشهد 2- شرکت مشاور نیرو خراسان ( منیران) 3- شرکت مشاور نیرو خراسان ( منیران) 4- شرکت مشاور نیرو خراسان ( منیران) 5- شرکت مشاور نیرو خراسان ( منیران)

کلمات کلیدی :

Distributed Generation; Reliability; Eligibility Traces algorithm; Voltage Loss Sensitivity Factor

چکیده :

Today, one of the most challenging issues for power distribution network is handling the growing level of load demand. This has brought different issues, including voltage reduction and losses in the distribution network. Over the past years, owing to potential advantages of distributed generation (DG) technologies, their utilization has rapidly grown all through the world. Apart from increasing utilization of DGs, their place and size in a grid are crucial. Hence, optimal selection of DGs can result in decreased voltage profile volatility, system losses. This can particularly lead to the enhanced reliability indices, as well. To solve such problems, several intelligent approaches have been represented. In this paper, the Reinforcement Learning (RL) approach is proposed, in which the Distribution Company can be viewed as a learning agent. The Eligibility Traces algorithm is known as one of the solving methods in the RL approach. The RL agent is able to make an intelligent interaction with the environment, find the optimal capacity and location of the distributed generation. In order to select the most candidate buses, Voltage Loss Sensitivity Factor (VLSF) is used. In the adopted intelligent method, the DG placement problem is studied for a network of 69 buses. Finally, simulation results associated with the proposed method (i.e. the Eligibility Traces algorithm), Dynamic programming, particle Swarm Optimization and Genetic Algorithm are represented and discussed. Obtained results have revealed the promising application and considerable effectiveness of the adopted method.