Efficient use of the Generators for the Environmental Economic Dispatch from the energy system, including solar photovoltaic generation

Abstract

The classic Economic Dispatch (ED) problem considers only the cost of power generation by thermal generators, often disregarding the safety parameters of the electrical network, environmental costs and especially the importance of predictive maintenance of the generators, when considering environmental costs in the optimization of ED this becomes a multi-objective problem Environmental Economic Dispatch (EED). Considering the global pressure to reduce emissions of pollutants in the atmosphere and environmental sustainability, incorporating the generation of Renewable Energies (RE) or Green Energy in the electricity grid is indispensable. Solar energy is becoming an important part of the power generation portfolio in many regions due to the fast decline in its costs and political incentives that favor the generation of clean energy sources. This article uses the Ant Lion Optimizer (ALO) method to solve the problem and EED restricted to the grid in a hybrid system (thermoelectric and photovoltaic). The results of the optimization problem were simulated in MATLAB. This research included 01 thermoelectric with 06 generators and 13 solar plants.

Research on real-time storage of hybrid data for multi-task dispatching of power grid supported by new mining method

“…The ELASTICO protocol, an open fragmentation protocol, is utilized to perform hash operations using public keys and random numbers. This generates unique hash values and creates effective blockchain identities [18][19][20]. The consensus mechanism for real-time data storage in this study utilizes three approaches to manage data storage in fragments.…”

Rational Application of Electric Power Production Optimization through Metaheuristics Algorithm

“…In [16,17] the distribution network reconfiguration was optimized using the dragonfly algorithm (DA). In [18], the energy balances in the ELD were solved by constraining its power generation capacity limits using Ant Lion Optimization (ALO). In [14], multi-objective particle swarm optimization (MOPSO) was performed using a diversity preservation mechanism to obtain a wide range of Pareto optimal solutions.…”