An analysis of optimal power flow strategies for a power network incorporating stochastic renewable energy resources

Abstract

Summary An optimal power management solution is a potential tool to produce cost‐effective and environmentally friendly power supply using renewable energy sources (RESs) for the electrical power network. Therefore, the article introduces a novel optimization algorithm inspired by the vitality, namely, Manta Ray Foraging Optimization (MRFO), to figure out both multi‐ and single‐objective problems of optimal power flow (OPF) incorporating stochastic RES. The OPF problems are designed by considering four different objective functions: transmission power loss, emission index, fuel operational costs, and voltage deviation. The stochastic and volatile nature of RES increases the complexity of the OPF issue. In this study, a new MRFO algorithm and some modern metaheuristic algorithms were used to settle the issue of OPF, enhance the energy efficiency, and environmental and cost performance of the power network. The test cases, with and without RES, different RES locations on the network, increase in the load, and outages of some transmission lines, are considered by addressing the challenge of the proposed OPF. These cases are tested with bus systems as 30 and 118, and the outcome from the suggested MRFO is compared with six metaheuristic optimization algorithms. Moreover, OPF challenges are successfully settled by the MRFO algorithm and outperform the proposed metaheuristic optimization methods.

High Hybrid Power Converter Performance Using Modern-Optimization-Methods-Based PWM Strategy

“…Modern electric devices such as photovoltaic panels and microprocessors in a computer require different voltage levels to operate their components; DC/DC converters are used to provide this required value [1]. The power converter is used to regulate and change the voltage level between the input to output with a wide variety of values.…”

“…The commercial solution for maintaining good power density is to have both the DC/DC converter and the DC/AC inverter within a single solution package. The researchers are working to improve the performance of the DC/DC converter and the DC/AC inverter [1,6]. The power-electronics-based DC/DC converters [1,6] and different converters successfully work together, such as the interleaved boost converter.…”

“…Recently, the problem of energy resources has increased due to the price fluctuation of fossil fuels and the need to decrease greenhouse gases. Therefore, attention toward electrification of many industrial processes or equipment such as vehicles has elevated to reduce the consumption of fuels [1][2][3][4]. In addition, power distribution networks equipped with renewable energy sources or microgrid systems have been introduced as a solution to improve the power network quality by reducing power loss and air pollution compared with conventional centralized power generation [5][6][7].…”

“…MRFO was proposed by Weiguo Zhao et al, in 2019 and MPA and JS were proposed by Faramarzi et al, and Chou and Truong in 2020, respectively. In addition, the EO was proposed by Faramarzi et al, and was inspired by the control volume mass balance model [1][2][3][4]. The results of the proposed optimization algorithms indicated a more efficient converter and balanced power-sharing compared with conventional strategies and the literature on optimization algorithms such as Differential Evolution (DE) and Particle Swarm Optimization (PSO) [6,7].…”

Application of Time-Voltage Characteristics in Overcurrent Scheme to Reduce Arc-Flash Incident Energy for Safety and Reliability of Microgrid Protection

“…The most straightforward possible description of microgrids is that of a group of DGs connected directly to the load areas. It may be fully or partially fed from the main utility through an intelligent management system [2]. A microgrid's unique nature poses challenges that do not appear in conventional distribution networks [3].…”