Sharif Digital Repository

In this paper, a new method for handling power plants preventive maintenance scheduling problem is proposed in which a decentralized framework is applied in order to help the electricity markets to prevent data sharing. The new approach is the extension of alternating direction method of multipliers (ADMM) along with several heuristics and refinements to omit the effect of non-convexity of the problem. Since, the new methodmerely needs minimal information exchange, it is completely practical. In order to evaluate the performance of the proposed method, a case study based on generating system of Iran is presented. It is shown that the proposed model obtains acceptable results  

The problem of inferring a graph from a set of graph signals over it plays a crucial role in the field of Graph Signal Processing (GSP). When provided with a graph that best models the structure of data, the GSP algorithms can offer high data processing capability. However, a meaningful graph of data is not always available, hence in some applications, the graph needs to be learned from the data itself. When the data is corrupted and missing, this task becomes even more challenging. In this paper, we present a graph learning algorithm that is capable of learning the underlying structure of data from an incomplete and noisy dataset of graph signals. We propose an algorithm that jointly... 

Dependency of human life to supplying of electricity energy, leads to different challenges for power system operators and planners. Demand growth and development of renewable energy sources have caused heavy investment costs to the transmission system. High price of construction of new transmission lines make planners to investigate effective factors on transmission expansion planning in order to make better decisions. On the other hand, the different amount of energy consumption during a day and the uncertainty of renewable energy result in transmission line congestion which cause electricity price gap between peak hours and off-peak hours. This price gap, also, necessitate the development... 

The purpose of this thesis is the presentation of an outage management scheme in a multi-microgrids system with a decentralized structure. The proposed method is designed in a two-step method to prevent damage to all microgrids and network components due to blackouts. In the first stage of this scheme, each microgrid alone provides its required power or curtails load due to the power deficiency. In the second stage, microgrids exchange power in a transactive energy environment, which is one of the new changes in active distribution systems with participation in market and price bidding, and all players of this market earn profit from their exchanges. In this case, the curtailed load will be... 

With deployment of distributed generation such as photovoltaic (PV) and active prosumers along with demand response (DR) ability, new fields are being created for energy markets and they are moving towards a consumer-centric way. Peer-to-Peer (P2P) network is one of the top research focuses which many studies have been conducted recently. The P2P network is based on multi bilateral agreements between Prosumers that help each other to manage and balance the supply and demand of energy between each other. In this thesis, two important structures of P2P network, which are called community-based and fully-decentrilized, respectively based on MILP (mixed integer linear programing) and ADMM... 

With the growing product diversification and customization of demands, employing the concept of shared economy and resource sharing is more than ever needed. In this regard, with the advent of the Industry 4.0, IoT , cloud computing, and systems such as cloud manufacturing, impediments have been eliminated to form a network of businesses. Therefore, the problem of service composition, which seeks to allocate the best combination of services to a specific demand, is considered. Due to many services and various quality parameters, these problems fall into the category of mega-size problems. Moreover, in terms of computational complexity, they are from the NP-hard class. Given the... 

In this research, we design a compatible waveform for the purpose of high-quality synthetic aperture radar (SAR) imaging in conjunction with sparse recovery methods for image formation. The goal is to make the imaging system tolerable against the wide-band and narrowband electromagnetic interferences. Actually, we consider minimizing the mutual interference between our radar and coexisting licensed emitters and minimizing the jamming signal (unlicensed emitters) power while enforcing some constraints over the waveform features like peak-to-average-power ratio (PAPR). For the constrained optimization problem to design a proper waveform, we introduce a new constraint to the optimization...