Electricity Market Planning by capacity collusion of Distribution considering Fuzzy Theory
Seyed Mostafa Tabatabaei, Mehrdad Setayesh Nazar
Abstract
In recent decades, with the orientation of the power network towards changing and re-structuring in the market and industry mechanisms, Reactive power services are independent of other services as one of the topics of investment for different companies. As a result of these changes, the creation of an efficient model that covers more sections of the problem of reactive power planning, One of the most important principles of reactive power planning. For this reason, in this paper, the modeling of reactive power planning in order to reduce network losses, Increasing voltage stability, increasing network reliability and reducing investment costs are considered as an opposite multi-goal problem. The reason for the contradiction is because of the different nature of the cost function, the loss, and the voltage You can not summarize all of these parameters in an objective function. The motivation for this article is to find an appropriate market approach and regulatory approach The management of reactive power is a long-term and non-linear problem in the studied system. A market design is proposed in which all available sources of reactive power are considered for participation. To solve the proposed problem, a multi-objective honey bee mating method (HBMO) has been used based on chaos theory. Also, the nonlinear sorting system and fuzzy mechanism are used to determine the best solution based on the set of solutions generated from the Pareto space. The proposed method has been discussed on various systems and the results have been compared with other methods. Finding the right answer, upgrading the best answer, and intersection of the generations are the hallmarks of this method.