Social welfare maximization based optimal energy and reactive power dispatch using ant lion optimization algorithm

نویسندگان

چکیده

In this paper an optimal energy and reactive power dispatch problem is solved by using the ant lion optimization (ALO) algorithm considering total cost minimization social welfare maximization (SWM) objectives. Two different market models are proposed in work, i.e., conventional/sequential clearing proposed/simultaneous clearing. each model, two objectives, SWM considered. The conventional (SW) consists benefit function of consumers active generation. paper, SW modified including function. calculation exactly same as that practice. most important difference instead doing post-facto manner practice, simultaneous approach work. scientificity suitability methodology has been examined on standard IEEE 30 bus test system.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimal Reactive Power Dispatch Using Ant Colony Optimization Algorithm

This paper proposes a procedure for solving the optimal reactive power dispatch (ORPD) problem using ant colony optimization (ACO) algorithm. The objective of the ORPD is to minimize the transmission line losses under control and dependent variable constraints using proposed sensitivity parameters of reactive power that dependent on a modification of Fast Decoupled Power Flow (FDPF) model. The ...

متن کامل

Optimal Reactive Power Dispatch Using Moth-Flame Optimization Algorithm

This paper describes a newly developed Moth-Flame optimization algorithm to deal with optimal reactive power dispatch problem. The prime intention of reactive power dispatch problem is to curtail the real power loss and control the bus voltages in power system network. The Moth-Flame algorithm is one of the most powerful and robust new global optimization algorithms in engineering. The primary ...

متن کامل

Optimal Reactive Power Dispatch Using Quasi-Oppositional Biogeography-Based Optimization

In this paper, quasi-oppositional biogeography based-optimization (QOBBO) for optimal reactive power dispatch (ORPD) is presented. The proposed methodology determines control variable settings such as generator terminal voltages, tap positions of the regulating transformer and the Var injection of the shunts compensator, for real power loss minimization in the transmission system. The algorithm...

متن کامل

Locating and Offering Optimal Price Distributed Generation Resources to Increase Profit Using Ant Lion Optimization Algorithm

Distribution of distributed generation resources in distribution systems has several advantages, including reducing losses, improving voltage profiles, reducing pollution, and increasing system reliability. However, one of the most important points regarding the placement of these resources in distribution networks is economic issues and the return on investment and the increase in profits from...

متن کامل

Ant Colony Search Algorithm for Optimal Reactive Power Optimization

The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents’ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called “Ants” co-operates to find goo...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: TELKOMNIKA Telecommunication Computing Electronics and Control

سال: 2021

ISSN: ['1693-6930', '2302-9293']

DOI: https://doi.org/10.12928/telkomnika.v19i4.18351