A NEW METHOD TO INCORPORATE FACTS DEVICES IN OPTIMAL POWER FLOW USING PARTICLE SWARM
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projectsofme
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14-10-2010, 02:07 PM


This article is presented by:1K.CHANDRASEKARAN 2K.ARUL JEYARAJ 3L.SAHAYASENTHAMIL
4DR. M.SARAVANAN
A NEW METHOD TO INCORPORATE FACTS DEVICES
IN OPTIMAL POWER FLOW USING PARTICLE SWARM
OPTIMIZATION


ABSTRACT
In this work, Particle Swarm Optimization (PSO) for the solution of the optimal power flow (OPF) with use of controllable FACTS devices is studied. Two types of FACTS devices, thyristor controlled series compensator (TCSC) and thyristor-controlled phase shifters (TCPS) are considered in this method. The specified power flow control constraints due to the use of FACTS devices are included in the OPF problem in addition to normal conventional constraints. The sensitivity analysis is carried out for the location of FACTS devices. This method provides an enhanced economic solution with the use of controllable FACTS devices. IEEE standard 30-bus system is taken and results have been compared with GA to show the feasibility and potential of this PSO approach.

INTRODUCTION
Deregulation of the electricity supply system becomes an important issue in many countries. Flexible AC Transmission System (FACTS) devices become more commonly used as the power market becomes more competitive. They may be used to improve the transient responses of power system and can also control the power flow (both active and reactive power). The main advantages of FACTS are the ability in enhancing system flexibility and increasing the loadability [1]. In steady state operation of power system, unwanted loop flow and parallel power flow between utilities are problems in heavily loaded interconnected power systems. These two power flow problems are sometimes beyond the control of generators or it may cost too much with generator regulations. However, with the FACTS controllers, the unwanted power flow can be easily regulated [2][3]. In OPF the main objective is to minimize the costs of meeting the load demand for the power system while satisfying all the security constraints [4]. Since OPF is a non-linear problem, decouple of the control parameter of the FACTS device is a highly nonlinear problem [5] so that PSO is used as a methodology to solve. In this context, more control facilities may complicate the system operation. As control facilities influence each other, a good coordination is required in order to bring all devices to work together, without interfering with each other. Therefore, it becomes necessary to extend available system analysis tools, such as optimal power flow to represent FACTS controls. It has also been noted that the OPF problem with series compensation may be a non-convex and non-linear problem, which will lead the conventional optimization method stuck into local minimum.

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