ELD of Power Network in Southwest of Iran (Khuzestan Province) Using JAY A Technique

Power load flow studies are the mainstays of analyzing and designing power systems, and doing so is essential for scheduling production between power companies and economic utilization. The distribution of economic load in today's world is the most important goal of energy distribution in dispatching centers. In industry, the production capacity of generators is usually much larger than the loads, so the allocation of loads in the generator can be varied. Since reducing the cost of electricity generation is important and the highest cost of production is related to the cost of fuel, so load sharing must be done economically. Finally, energy distribution professionals must take control of power plant production at the lowest cost. In this paper, the Economic Load Dispatch (ELD) problem of a sample power system is investigated by JA YA effective computational algorithm and the results are compared with Lambda iteration method. Theoretical backgrounds and mathematical formulations for these two methods are also provided. The power system studied in this research is the power network of southwestern Iran (Khuzestan province), which includes eight power plants. These calculations are performed by excluding network losses as well as by continuously assuming the cost function of power plants. Finally, the fuel cost of the power plants of the sample power system is compared using the JA YA algorithm and the classical Lambda iteration method. Comparison of the obtained results shows that these two methods are suitable in providing efficient solutions to economic load distribution problems in large electricity networks. All simulations have been performed in MATLAB software.

I. Introduction

In an interconnected power system, the task of supplying the load is the responsibility of different generators, among which the share of each generator in supplying the network load depends on the cost of generating the generators. Properly allocating a share of total demand can actually reduce fuel costs. Determining the actual generating capacity of generators so that the cost of production in the power system is minimized is known as economic load dispatch (ELD) and its purpose is to provide power to the maximum number of subscribers economically. For this purpose, the demand of the load and all the constraints of equality and inequality such as the balance of generation and consumption and the limits of generation are met in a certain period of time [1]. The ELD problem is classified into both convex and non-convex. The convex ELD problem assumes a simple form of objective function that uses linear constraints and constraints to minimize it. Therefore, in this case, the ELD problem is an approximate and simple problem. In the case of non-convex ELD, the cost function is reduced while constraints such as Prohibited Operating Zones (POZ) and the valve-point loading effects are nonlinear assumed. On the other hand, economic load dispatch is an online operation that is performed after every 15–30 minutes or upon request in power control centers, in which the load is dispatched between the production units in parallel with the system in such a way that the total cost of the operation is At least reach. Also, generators are programmed to use low-cost generators as much as possible [2].