Performance improvement of distributed generation resources in distribution systems based on special algorithm

In this paper, a new algorithm is presented for assessing the operation of distribution systems using distributed generation resources. The algorithm is proposed based on Probabilistic measures of presence or absence of distributed generation resource in the distribution system. For dynamics of system, Monte Carlo simulation is used with consideration of network restrictions. Random parameters of studied system consist of uncertainty of location, amount of generated power and off or on sections of distributed generation units. Parameters of this algorithm consist of Newton-Raphson load flow equations where Monte Carlo simulation is exploited to analyze and study the all of the possible states of system. The proposed algorithm is used to determine electric current per hour in a normal distribution system with loading distributed generators and explains some normal load curves in various nodes. Also the results are presentable for demonstration of system operation in case of random distributed generators. The proposed algorithm has been tested in a standard 30-nodes IEEE network and the obtained results verify and confirm the validation of proposed method.