An active power dispatch method for a microgrid (MG) with multi-type loads, renewable energy sources (RESs) and distributed energy storage devices (DESDs) is the focus of this paper. The MG operates in a grid-connected model, and distributed power sources contribute to the service for load demands. The outputs of multiple DESDs are controlled to optimize the active power dispatch. Our goal with...

Economic dispatch is carried out at the energy control center to find out the optimal output of thermal generating units such that power balance criterion is met, unit operating limits are satisfied and the fuel cost is minimized. With growing environmental awareness and strict government regulations throughout the world, it has become essential to optimize not only the total fuel cost but also...

the major problem of wind turbines is the great variability of wind power production. the dynamic change of the wind speed returns the quantity of the power injected to networks. therefore, wind–thermal generation scheduling problem plays a key role to implement clean power producers in a competitive environment. in deregulated power systems, the scheduling problem has various objectives than i...

During the microgrid search process, optimal allocation and economic dispatch are very important and are interrelated, having interaction and mutual checks. In this paper, we adopt a bilevel planning method to search for the multi-objective optimal allocation of a microgrid, considering economic dispatch. The upper level is the optimal allocation, which aims at minimizing the daily fixed cost o...

The paper investigates the performance of proposed search technique for different kinds of economic dispatch problems by searching generation pattern of committed units in polar coordinate system being projection of phasor on real axis with respect to its displacement. A slack generator is introduced to meet the demand constraint while generation pattern is searched within operating limits of g...

Abstract — In this paper, we present stability analysis for an OR-neuron based Hopfield neural network. We explore the possibility of implementing higher order Hopfield neural network for solving economic load dispatch problem subjected to equality and inequality constraints. Previous work on this kind of problems is limited to quadratic cost function. The proposed approach is useful for higher...

This paper illustrates successful implementation of three evolutionary algorithms, namelyParticle Swarm Optimization (PSO), Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms to economic load dispatch problem (ELD). Power output of each generating unit and optimum fuel cost obtained using all three algorithms have been compared. The results obtained show that ABC a...