Economic Dispatch with Multiple Fuel Options Using CCF

Abstract

This paper presents an efficient analytical approach using Composite Cost Function (CCF) for solving the Economic Dispatch problem with Multiple Fuel Options (EDMFO). The solution methodology comprises two stages. Firstly, the CCF of the plant is developed and the most economical fuel of each set can be easily identified for any load demand. In the next stage, for the selected fuels, CCF is evaluated and the optimal scheduling is obtained. The Proposed Method (PM) has been tested on the standard ten-generation set system; each set consists of two or three fuel options. The total fuel cost obtained by the PM is compared with earlier reports in order to validate its effectiveness. The comparison clears that this approach is a promising alternative for solving EDMFO problems in practical power system.

Quantum-behaved Particle Swarm Optimization for Power Economic Dispatch Problem of Units with Multiple Fuel Option

“…Results obtained from a synergic predator-prey optimization (SPPO) [18], an integrated of modified shuffled frog leaping algorithm (MSFLA) and global-best harmony search algorithm (GHS), MSFLA-GHS [19], QP-ALHN [20], improved particle swarm optimization (IPSO) [21], enhanced augmented Lagrange Hopfield network (EALHN) [22], composite cost function (CCF) [23], chaotic improved honey bee mating optimization (CIHBMO) [24], adaptive Hopfield neural network (AHNN) [7], numerical approach (HM) [4] and the proposed QPSO-MU, are shown in this Table clearly. Although results obtained from SPPO [18], SFLA-GHS [19], QP-ALHN [20], IPSO [21], EALHN [22], CCF [23] and CIHBMO [24] have the less cost than the proposed QPSO-MU. However, such solutions are infeasible ones, because of insufficient or excess demand.…”

“…In the near future, various algorithms also have been presented to solve PEDP of units with MFOs. Such as a synergic predator-prey optimization (SPPO) [18], an integrated of modified shuffled frog leaping algorithm (MSFLA) and global-best harmony search algorithm (GHS), MSFLA-GHS [19], augmented Lagrange Hopfield network initialized using quadratic programming (QP-ALHN) [20], improved particle swarm optimization (IPSO) [21], enhanced augmented Lagrange Hopfield network (EALHN) [22], composite cost function (CCF) [23], and chaotic improved honey bee mating optimization (CIHBMO) [24].…”

Differential Evolution Immunized Ant Colony Optimization in Solving Fuzzy Economic Dispatch with Multiple Fuel Options

“…There are energy providers that installed multi-fuelled generators in their systems, which feeds on several fossil fuel such as coal, petroleum and natural gas, according to the operating level. Different fuel will have different price signals [3] and fluctuates according to the world fuel price [4]. This problem is known as the multi-fuel ELD (MF-ELD).…”

Modification of multi‐area economic dispatch with multiple fuel options, considering the fuelling limitations

“…In [8], the authors have used the combination of intelligent and classical methods to accelerate the solution process, as well. In [9], the ED with multiple fuel options has been solved using an efficient analytical approach based on composite cost function. Some of the previously presented papers discuss about multi‐area optimal power flow (OPF).…”