Firefly Technique Based on Optimal Congestion Management in an Electricity Market
نویسندگان
چکیده مقاله:
Nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. This has resulted in unanticipated congestion interfaces in regional transmission systems. The system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. To make the matters worse, the functional unbundling of generation company and system operator will further threaten reliable operation of entire grid due to the lack of coordination between generation and transmission. Thus, a sensible way of dealing with congestion has become vital to maintaining current level of high reliability. In this paper Firefly Algorithm (FA) is used for solving economic load dispatch problem for raise efficiency, increase safety margins and reduce cost of distribution network unit production regarding to practical constraints such as maximum network voltage, maximum transmission line current, power balance and load level. The proposed technique is applied on 30 and 118 buses power system in comparison with CPSO, PSOTVAC, PSOTVIW and ABC
منابع مشابه
firefly technique based on optimal congestion management in an electricity market
nowadays, congestion management is one of the major tasks accomplished by system operators to warrant the operation of transmission system within operating limits. this has resulted in unanticipated congestion interfaces in regional transmission systems. the system is, however, unable to evolve at a rate which is required to meet the quickly changing demand of competitive markets. to make the m...
متن کاملCongestion Management in Hybrid Electricity Market for Hydro - Thermal System
The power system restructuring has introduced competitiveness among different market players in electricity market and as a result transmission lines have to operate near to their thermal limits. System operators have a challenge to ensure reliable and secure transmission of power under these conditions. In this paper a rescheduling based congestion management solution is proposed for hybrid el...
متن کاملSPSO-TVAC Congestion Management in a Practical Electricity Market Based Generator Sensitivity
Congestion management is one of the major tasks performed by system operators to ensure the operation of transmission system within operating limits. In the emerging electric power market, the congestion management becomes extremely important and it can impose a barrier to the electricity trading. This paper presents a new method of Speed Particle Swarm Optimization with Time-Varying Accelerati...
متن کاملTotal Transfer Capability In Deregulated Electricity Market Using Firefly Algorithm
The computation of Total Transfer Capability (TTC) is a significant task in the deregulated environment. In this paper, Firefly (FF) algorithm is used to solve the Optimal Power Flow (OPF) based TTC problem. Real power output of generators in source area and real power load in drop area can be adjusted to obtain the maximum transfer capability. The value of TTC can be made more accurate by cons...
متن کاملChaotic Particle Swarm Optimization for Congestion Management in an Electricity Market
Congestion management is one of the major tasks performed by system operators (SOs) to ensure the operation of transmission system within operating limits. To permit smooth and quality flow of power the problem of congestion has to be solved. The congestion in the transmission line will be removed by generation rescheduling with the cost involved in the rescheduling process should be minimized....
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 3 شماره 2
صفحات 333- 344
تاریخ انتشار 2014-08-01
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023