Renewable Energy Integration Amid the 4th Industrial Revolution
Ahmad Eid, Hassan El-Kishky · River Publishers eBooks · 2024
The 4th Industrial Revolution (4th IR or Industry 4.0) concept is gaining increasing attention around the globe. In this concept, technologies connected to artificial intelligence (AI) applications, the Internet of Things (IoT), big data (BD), and cyber−physical systems (CPSs) are coupled to enhance operational efficiency, productivity, and automation. While emphasizing these benefits, intelligent systems must also be energy-efficient and renewable. This chapter outlines a comprehensive analysis and information about the effects of the 4th IR key applications, especially the impacts of AI, IoT, and BD on renewable energy operation and control. In the second phase of the study, the system loss and voltage regulation are minimized with uncertain demand distribution systems during the 24-hour period. The recently announced multi-objective bonobo optimizer (MOBO) method solves this multi-objective optimization (MOO) problem. The MOO is conducted concurrently with the 24-hour operation of an unpredictable demand distribution system. The methodology is used for a conventional 69-bus distribution network as a baseline. In the meantime, in order to select the best compromise solution (BCS) for the decision-maker (DM) from the Pareto optimal front (POF), two MOO techniques are applied and compared. These techniques 112 include fuzzy-based decision-making (FDM) and the technique for order of preference by similarity to ideal solution (TOPSIS) methods. TOPSIS is a multi-criteria decision analysis method. It is based on the concept that the chosen alternative should have the shortest geometric distance from the positive ideal solution and the longest geometric distance from the negative ideal solution. Statistical analyses are recorded for each technique, highlighting the best one. Moreover, the study shows the effectiveness and the excellent behavior of the MOBO algorithm in solving the multi-objective problems of integrating renewable energy sources into distribution systems.