This paper proposes a new optimal method for the parameter identification of a proton exchange membrane fuel cell (PEMFC) for increasing the model accuracy. In this research, a new improved version based on deer hunting optimization algorithm (DHOA) is applied to the Convolutional neural network...

Algorithms are used to optimize both single and multi-objective system limits. This research aimed to detect the optimal location and size of the DGs, which can significantly minimize power loss and improve the stability of the voltage. The research uses binary particle swarm optimization and...

The present days can be considered a crossroad in the history of our world because the economic, social, and environmental needs do not agree one another. The result is the present socio-economic difficulties, from which it seems very difficult to escape. A new viewpoint must be introduced, but...

This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively...

The electricity price arbitrage from the utility grid can be a major source of revenue for energy storage systems. In most countries, the electricity price is tightly regulated by their government statutory authority or energy regulator to which obey the different power utility and distribution...

Photovoltaic (PV) systems, like most renewable energy resources, are characterized by large initial capital investments by the energy user. The high upfront cost (for which many residential customers are unwilling to take risks) is and will remain one of the main obstacles that need to be...

Load frequency control or automatic generation control is one of the main operations that take place daily when considering a modern power system or not. The objectives of load frequency control are to maintain power balance between interconnected areas and to control the power flow in the...

Network reconfiguration which is constrained non linear optimization problem has been solved for loss minimization, load balancing, etc. for last two decades using various heuristic search evolutionary algorithms like binary particle swarm optimization, neuro-fuzzy techniques, etc. The...

Designed to operate with natural gas, the MGT are devices technologically recent with a noticeable number of functional advantages. Energetically and environmentally respectful and with high performance, they produce low emissions mainly of nitrogen oxides of which the toxic devastating effects...

This paper presents a survey on enhancement of power system performances by optimally placed distributed generations in distribution networks. Thedistribution power system performances such as minimization of real power loss, minimization of reactive power loss, improvement of voltage profile,...