Particle Swarm Optimization Based Composite Power System Reliability Analysis Using FACTS
نویسندگان
چکیده
With the introduction of competition in the existing electrical market, it becomes necessary to enhance the transmission capacity of the power system through the existing transmission lines. The utilization of FACTS technologies can have significant impact on power system reliability. Low cost and feasibly better improvement can be achieved by using power electronics based devices in the system. Such devices are called Flexible Alternating Current Transmission system (FACTS) devices. This work deals with the reliability evaluation of generation system, transmission system, and load system by probabilistic technique. The composite system reliability can be enhanced by adjusting the settings of the FACTS device (such as reactance, phase angles, reactive power injection) with respect to the system. This is based on DC and AC load flow model. In this paper, the settings of Thyristor Controlled Series Capacitor or Compensator (TCSC) and Unified Power Flow Controller (UPFC) are found out using PSO technique for enhancing the transmission power capability to improve composite power system reliability. Now by finding Loss of Load Probability(LOLP) by inserting TCSC and UPFC in the line and compare the reliability after connecting TCSC and UPFC separately.
منابع مشابه
Design of a New IPFC-Based Damping Neurocontrol for Enhancing Stability of a Power System Using Particle Swarm Optimization
The interline power flow controller (IPFC) is a concept of the FACTS controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. This paper proposes a novel IPFC-Based Damping Neuro-control scheme using PSO for damping oscillations in a power system to improve power system stability. The addition of a supplementary controll...
متن کاملFACTS Devices Allocation Using a Novel Dedicated Improved PSO for Optimal Operation of Power System
Flexible AC Transmission Systems (FACTS) controllers with its ability to directly control the power flow can offer great opportunities in modern power system, allowing better and safer operation of transmission network. In this paper, in order to find type, size and location of FACTS devices in a power system a Dedicated Improved Particle Swarm Optimization (DIPSO) algorithm is developed for de...
متن کاملOptimization of grid independent diesel-based hybrid system for power generation using improved particle swarm optimization algorithm
The power supply of remote sites and applications at minimal cost and with low emissions is an important issue when discussing future energy concepts. This paper presents modeling and optimization of a photovoltaic (PV)/wind/diesel system with batteries storage for electrification to an off-grid remote area located in Rafsanjan, Iran. For this location, different hybrid systems are studied and ...
متن کاملAn Interactive Fuzzy Satisfying Method Based on Particle Swarm Optimization for Multi-Objective Function in Reactive Power Market
Reactive power plays an important role in supporting real power transmission, maintaining system voltages within proper limits and overall system reliability. In this paper, the production cost of reactive power, cost of the system transmission loss, investment cost of capacitor banks and absolute value of total voltage deviation (TVD) are included into the objective function of the power flow ...
متن کاملAn IPM-EPSO Based Hybrid Method for Security Enhancement Using SSSC
This paper presents an Interior Pont Method (IPM) and Evolutionary Particle Swarm Optimization (EPSO) based hybrid method to solve optimal power flow in power system incorporating Flexible AC Transmission Systems (FACTS) such as Static Synchronous Series Compensator(SSSC) for security enhancement in the power systems. A fuzzy logic composite criteria based severity index is also used as an obje...
متن کامل