Toward the Optimal Operation of Hybrid Renewable Energy Resources in Microgrids

Abstract

Renewable energy sources are environmentally friendly and cost-efficient. However, the problem with these renewable resources is their heavy reliance on weather conditions. Thus, at times, these solutions are not guaranteed to meet the required demand all the time. For this, hybrid microgrids are introduced, which have a combination of both renewable energy sources and non-renewable energy resources. In this paper, a cost-efficient optimization algorithm is proposed that minimizes the use of non-renewable energy sources. It maximizes the use of renewable energy resources by meeting the demand for utility grids. Real data based on the load and demand of the utility grids in Italy is used, and a system that determines the optimal sizing of the microgrid and a daily plan is introduced to optimize the renewable resources operations. As part of the proposal, the objective function for the operation and planning of the microgrid in such a way to minimize cost is formulated. Moreover, a variant of the PSO algorithm named recurrent PSO is implemented. The recurrent PSO algorithm solves the proposed optimization objective function by minimizing the cost for the installation and working of the microgrid. Afterwards, the energy management system algorithm lays out a plan for the daily operation of the microgrid. The performance of the system is evaluated using different state-of-the-art optimization methods. The proposed work can help minimize the use of diesel generators, which not only saves financial resources but also contributes toward a green environment.

Blockchain-Based Event Detection and Trust Verification Using Natural Language Processing and Machine Learning

“…Recently, IoT and blockchain using machine leaning has brought an immense revolution in various walks of life by converging the physical and digital world together, especially in the area of healthcare [8]- [13], navigation [14]- [16], security [17]- [21], cloud computing [22], and smart grid systems [23]. In this section, various social media platforms discussed which extract the information related to crisis for supporting the activities related to disasters.…”

Enhanced PDR-BLE Compensation Mechanism Based on HMM and AWCLA for Improving Indoor Localization

“…The internet of things is an evolving field, attracting much attention from the research community [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. The systems pertaining to location tracking and intelligent navigation are widely employed to handle specific scenarios related to security, logistic medicine, and mission-critical indoors.…”

Economic and Ecological Design of Hybrid Renewable Energy Systems Based on a Developed IWO/BSA Algorithm

“…In BSA, the oldP is redefining at the beginning of each iteration through the 'if-then' expressed in (34):…”

“…where := is the update operation, Equation (34) ensures that BSA designates a population belonging (historical population) and remembers those until it changed. After that, the order of individuals in oldP is randomly changed using a shuffling function as in Equation ( 35): oldP := permuting(oldP)…”

“…In [33], a mathematical model has been proposed to get the optimal energy mix in Lampedusa, Italy. In [34], a cost-efficient optimization algorithm has been proposed to maximize the RE penetration and find the optimal sizing of the HRES.…”