A State-of-the-Art Review on Optimization Methods and Techniques for Economic Load Dispatch with Photovoltaic Systems: Progress, Challenges, and Recommendations

Abstract

Fossil fuel is considered to be the primary power generation source. As this source is not that eco- and environmentally friendly, researchers are constantly searching for an alternative source for power generation. Renewable energy has drawn much attention in this regard in recent times. For solving economic load dispatch issues, numerous operational constraints must be considered. Due to the restructuring of the power sector, there is competition between different power systems organizations. Increasing fossil fuel costs drive power-producing utilities to adopt a cost-effective technique for dispatching actual power output. Due to the presence of nonlinearity and non-convexity in the fuel of cost function of generators, the economic load dispatch is often considered a complex optimization problem. Many researchers have been optimizing fuel costs to solve the economic power dispatch problem. This paper offers a critical analysis of ELD that takes into account both traditional and non-traditional energy sources. The review covers a variety of algorithms, including hybrid algorithms for integrating renewable energy sources (RES). The paper also focuses on several restricted optimization techniques and contemporary algorithms including PSO, Jaya, GWO, SMO, TLBO, Rao, MRao-2, and MFO to reduce the fuel cost of generation units using large-scale solar PV. Moreover, this paper provides a comprehensive overview of the current state of economic load dispatch and provides valuable insights for electricity researchers and practitioners. It also discusses future technologies and next steps in the field of ELD, emphasizing the need for more environmentally friendly and cost-effective power generation and distribution solutions. Overall, the paper demonstrates the benefits of renewable energy sources as well as optimization techniques for creating a more sustainable and efficient power generation system.

Giant Trevally Optimization Approach for Probabilistic Optimal Power Flow of Power Systems Including Renewable Energy Systems Uncertainty

“…Figure 1 offers a representation of the PDF for the output power of the wind plant integrated into the IEEE 30-bus system at hour 2. In the figure, curve (1) represents the relationship between the power and the speed of the wind, curve (2) shows the Weibull PDF of wind speed, and curve (3) shows the probability distribution of output wind power corresponding to different wind speeds. Figure 2 provides an example of the probability distribution of output power for the solar plant in the 30-bus system at hour 12.…”

“…In recent years, the power grid has seen a significant surge in the incorporation of RESs, notably wind and photovoltaic systems [1,2]. These sources offer significant advantages, such as reduced pollution and the conservation of resources.…”

“…However, their integration into power systems has introduced new challenges due to growing uncertainties in load demands and variations in power production. Consequently, effectively managing these sources is pivotal for their successful integration into the network, ensuring a safe and financially viable energy market [1][2][3]. To achieve this, it is crucial to account for the probabilistic nature of WE and PV units while integrating such intermittent power sources into the grid.…”