Multi Objective Optimization for Transmission Network Expansion Planning using Modified Bacterial Foraging Technique

Abstract

Multi-objective optimisation is a proven well known parameter tuning technique in complex power system problems. It is especially suited to solve complex transmission network expansion planning. This paper proposes a practical method for transmission network expansion planning by bacterial foraging technique. The electricity industry has always been interested in expanding investment in the transmission sector of the industry. As load demand increases and generation expands to meet the need, transmission expansion becomes important in order to increase social welfare by reducing total system operating cost, and to make the system more reliable. In this context, two objectives: investment cost and network adequacy restrictions are considered to overcome the drawbacks of conventional mathematical optimization method in arriving at local optimum and dimension disasters, we introduced the bacterial foraging technique into transmission network optimal planning for the first time, from which the optimal scheme is generated. The bacterial foraging is used as the optimization tool to obtain the Pareto approximation set solutions. The proposed algorithm is implemented on typical IEEE 6 bus systems and performance is assessed by statistical test.

Application of Multi Objective Technique to Incorporate UPFC in Optimal Power Flow using Modified Bacterial Foraging Technique

“…Because search strategy of bacteria is salutary (like common fish) in nature and Bacteria can sense, decide and act so adopts social foraging (foraging in groups). A group of bacteria move in search of food and away from noxious elements, a biological method known as foraging [2]. All bacteria try to move upward the food concentration gradient individually.…”

“…In the optimization technique we can take the variable we want to optimize as the location of bacteria in the search plane. The specifications such as number of reproductive steps, number chemo tactic steps which are consisted of run (or swim) and tumble, swim length, maximum allowable swims in a particular direction [2][11] [12]are given for a particular problem then the variable can be optimized using this modified bacteria Foraging Optimization technique.…”

“…The modified bacterial foraging technique approach handles the multi-objective optimization [2] with many objectives and constraints included. In this problem the installation cost, reactive power production and optimal location of UPFC devices are considered.…”

Application of refined bacterial foraging algorithm technique to control of optimal power dispatch with interline power flow controller

“…The particle swarm optimization (PSO) (Khalid et al, 2009) and modified PSO (Soundarrajan and Sunda, 2010) are proposed in various optimization problems. Nowadays, the bacterial foraging algorithms (BFA) (Muwaffaq, 2010;Mishra and Bhende, 2007), are focused to solve power system problems, the multi-objective based transmission expansion planning problems which were analyzed in Jaganathan et al, (2010). The performance of BFA is better if step length is constant, so it is not suitable for modern power system problems (Sumanbabu et al, 2007).…”

“…Power system networks are becoming more complex because of increased of load growth: a huge number of generators. In addition to which the new transmission lines are added to the network (Jaganathan et al, 2010). The power systems are operated under a deregulation environment and that becomes an important issue in modern power systems (Stagg and El-Abiad, 1968a).…”