| Summary: The rapid increase in photovoltaic (PV) power plants over recent years, due to falling costs and government incentives, leads to the change and transformation of the existing electricity distribution grids, in which no generating unit included in the network along with loads. In smart electrical grids, however, both generating and dissipating units are installed side by side and they are connected to each other along the distribution network. The operational characteristics of smart grids require advanced communication and data processing technologies that allow bidirectional data and power flow, which is expected as the electricity grid of the future. Both generation and demand are controlled for a more efficient and operatable smart grid management. Demand side management (DSM) is a cost-effective method to solve the problems caused by peak power consumptions and the matching issues between the consumed and generated powers at the connection points of the PV power generation systems. In this thesis, metaheuristic optimization algorithm-based, efficiency-oriented a scalable novel smart demand management system (SDMS) and a novel pricing and billing system have been proposed for the residences which are powered by grid connected PV systems. The proposed system aims to reduce losses by decreasing the ratio of the peak consumption to the average consumption and to prevent voltage fluctuations in the distribution networks. Therefore, a management system is developed and applied for power consumption by considering the PV power capacity and consumer comfort. A mobile application has been included for testing and measurement of the proposed SDMS to demonstrate its applicability. In order to measure the consumer's attitude to the proposed system and to test the proposed SDMS by realistic data a public survey has been designed and applied to target consumer groups, as well. The results of simulation and test studies are highlighted the advantages of the proposed system. Key Words: Smart grids, Distribution networks, Photovoltaic systems, Demand side management, Optimization, Heuristic algorithms, Efficiency |
