Title: RESEARCH OF Planning FOR Distribution network with distributed generation
ABSTRACT
Presently, power system, characterized in centralized generation, long-distance power transmission and bulk power system interconnection, are the main ways of power generation, power transmission and power distribution, which is now being the supply power of 90% power load all over the world. Large long-distance power transmission grid has its advantages, but it also has some drawbacks, for example, it can not flexibly track loads’ change, and can not supply loads in remote areas with ideal energy, also when an local accident happened in a large-scale interconnected power system, it can easily lead to the spread of large-area blackout, and so on. For the reasons above, there rises a new power generation technology in recent years, called distributed generation (DG) technology. Because of its advantages in taking full advantage of renewable and clean new energy sources, in saving investment, as well as in being compatible with environment to generate flexibly and efficiently, countries all over the world are paying attention to it, and it will become an important part of power system’s total electricity supply. So there are essential theoretical value and practical significance in researching DG technology.
With the gradual extension of distributed generation technology, power flow of distribution network, stability of the system, delay protection, and network loss will be affected by it, and the extent of impact is closely related to location and capacity of distributed power. Therefore, it’s very important to choose the access point and capacity of distributed power rightly. This paper does some research on the location and capacity planning of DG in distributed network, then establishes a fuzzy optimization model about DG planning, and solve the problems using improved Particle Swarm Optimization Algorithm.
KEY WORDS: Fuzzy optimization; distributed generation; Short-circuit current; distribution network
