Load Forecasting in Smart Electrical Grids: State-of-the-Art Approaches, Challenges and Future Directions

Multi-objectives approach for economic optimization in the smart electrical grid with demand response and electric vehicle

This paper presents an introduction to a multi-objective optimization framework that has been specifically designed to enhance the short-term operational scheduling of energy systems within smart parking lots. The innovative framework integrates the Improved Seagull Algorithm (ISA) with an Adaptive approach, which is crucial for effectively balancing the dual aspects of global exploration and local exploitation, particularly in the context of dynamic and uncertain environments that characterize modern energy systems. To address the complexities involved, a multi-objective formulation has been meticulously developed to take into account the stochastic behavior associated with wind generation, the fluctuations in real-time electricity prices, and the varying demands of electric vehicles (EVs). The primary goal of this model is to jointly optimize several critical factors, including operation costs, voltage deviations, and the dependency on power drawn from the grid. Through extensive simulation studies conducted across a variety of case studies and test systems, it has been demonstrated that the proposed algorithm significantly outperforms established benchmark techniques as well as other competing algorithms in the field. Notably, this method achieves an impressive 18.1% reduction in total operational costs, alongside a remarkable 23.8% decrease in dependency on the grid for power. These compelling findings highlight the proposed framework as not only a practical solution but also a computationally efficient approach for managing uncertainty-aware, multi-objective energy scheduling, paving the way for advancements in the next generation of smart grids.

Analysis of Key Smart Grid Technologies and Wind–Solar–Storage Applications under Distributed Energy Integration

As renewable energy resources continue to be deployed on a larger scale, integrating distributed generation into smart-grid environments has become an increasingly important aspect of modern power system development. This paper focuses on the major issues encountered during the grid connection of distributed energy resources. First, the core technologies related to grid-connected control, energy management, state perception, and fault diagnosis are systematically reviewed. Then, a wind-solar-storage complementary energy system is selected as a typical application scenario, which is used to investigate the engineering implementation of these technologies and examine the operational performance and collaborative mechanisms of the system through specific case studies. The analysis shows that grid-connected control supports stable renewable energy integration, while energy management strategies facilitate coordination among wind generation, photovoltaic resources and energy storage units. Overall, these technologies have different functions and focusses, but they are closely related in practical applications, which together raise the operating efficiency and reliability of distributed energy systems. This research helps to understand the problems of smart grid technology, engineering application analysis, and subsequent collaborative optimisation research involved in distributed energy access.

Energy Management in a Microgrid with Integration of Distributed Energy Resources

To meet the growing demand for electricity and address the increasing technical and environmental challenges, the Power System (PS) sector has placed a heavy emphasis on integrating distributed energy resources (DERs) into distribution systems (DS). However, effectively placing DERs, such as solar panels, Gas turbines, and capacitor banks, into the DS is necessary. Otherwise, the various technical aspects, such as Power Quality, Stability, Reliability, and Voltage Management, will be the biggest concern. In this paper, simulations are conducted on the IEEE-69,118 Bus system to consider the effective integration of DERs into the DS. This integration is utilised to achieve independent optimisation of power loss (PLoss), operational cost, and emissions using the Puma Optimisation (PO) and Dragonfly Algorithm (DA) Optimisation. The proposed work has shown promising outcomes in resolving complex optimisation problems. This methodology attempts to optimise the size and placement of DERs in DS, taking into account several factors such as the voltage stability index, voltage fluctuations, PLoss reduction minimisation, operational costs, and emissions. Finally, the results using the approach have enhanced the DS performance while lowering the Cost expenses and environmental impact.

Strategic Analysis of Wind-Solar-Storage Smart Grid Systems

With the whole world aiming for the “dual carbon” goal, huge amounts of new wind and solar power plants are being built as people move away from oil and gas. However, due to natural effects, their irregular and fluctuating output makes it very difficult for the power system to run safely and stably all day long and fully integrate renewable energies into the power system. A wind-solar and energy storage system has been combined via intelligent controlling and regulating methods to coordinate every part of the whole production-grid-load-storage process. This is a crucial approach that can overcome obstacles in the application of renewables. This paper takes the wind-solar-storage smart grid as our research object and discuss it from three system levels (physical level, information level and control level) and the basic features of wind power. This paper review domestic and foreign related literature research, study classic cases, conduct field investigations, analyze problems in output forecast, energy storage, coordination control, etc., put forward some optimization plans, and finally conduct future trend research, so as to provide theoretical basis and practical advice for such engineering design, operation dispatching and industrial development.

A Brief Discussion on the Applications of Smart Grid 2.0 Combined with Traditional Island Micro Grid Models

Based on the pain points of traditional isolated island micro grids, such as insufficient reliability, strong fluctuations in renewable energy, and the possibility of load shedding under extreme conditions, this chapter focuses on the idea of integrating "Smart Grid 2.0 with traditional isolated island micro grids."First, the article gives the overall design structure of the intelligent isolated micro grid.Subsequently, in terms of power generation and energy storage, this paper summarizes the issues of power quality and energy storage configuration caused by the intermittency of generation methods such as photovoltaics and wind power, and lists the applicable technologies. On the transmission, distribution, and electricity usage side, the article explains measures such as solid-state transformers, multi-voltage level settings, and other advanced algorithms that can reduce size and losses, and improve safety and compatibility. On the user end, this paper constructs a model framework that can support demand response, load management, and fair billing through smart meters and higher-frequency sampling. Regarding the central information processing system, this paper establishes the corresponding central platforms responsible for real-time monitoring, risk assessment, fault self-healing, and cross-domain coordination.Finally, the article takes relevant examples to demonstrate the feasibility of the model presented in this paper.

Sustainable Energy, Grids and Networks