Sharif Digital Repository

Energy storage systems are expected to play an important role in future renewable-based power systems. Recently, lithium-ion batteries have been attracting considerable attention as alternative energy storage systems due to their advantages. In this study, viability of battery storage systems as large-scale energy storage systems is studied in the context of a residential energy hub. A stochastic optimization problem is proposed for energy management of the energy hub where wind generation and demand are considered uncertain. In order to account for the degradation costs of the battery storage system, a data-driven State-of-health prediction model is developed based on the relevance vector... 

The issue of loss allocation is one of the most important issues that has long been considered in electricity networks, including distribution and transmission. With changes in distribution networks over the years and the penetration of distributed energy sources, the allocation of losses has become more of a challenge than ever before. Hence, there is a need for a loss allocation algorithm that can be implemented in any network and with any topology. In this dissertation, a new, simple and at the same time efficient algorithm for allocating real losses in all networks (distribution - transmission) and with any structure (radial - circular) is presented. This algorithm first tracks the... 

Nowadays, variable generation and renewable energy resources are increasingly penetrating the energy systems to supply the users' demand at the distribution grid. Variable Energy Resources (VER) can provide energy at a lower cost, and they also guarantee cleaner energy. Still, the uncertainty and variability from these resources' output can affect the net-load of the system at each hour. Besides, the issue of energy balance has always been a challenge for the energy distribution networks. A comprehensive way to unravel this problem is to use flexible resources. One of the crucial issues in the flexibility debate is meeting this need by different energy resources. It is always an issue for... 

With the growing population and the development of human societies, the demand for energy increases. And it is expected that for the next few decades, fossil fuels will continue to be recognized as the main sources of energy supply and used to meet energy demand. One of the biggest disadvantages of fossil fuel consumption is the emission of greenhouse gases such as carbon dioxide, which raises the Earth's temperature and has devastating effects on the climate and the lives of its inhabitants. On the other hand, fossil fuels are recognized as non-renewable sources and their lifespan is only for the next few decades. Today, one of the major concerns of societies, especially in developed... 

Using energy storage systems has been remarkably improved the energy systems efficiency and reliability indicators of the system and also reduced the operating costs of these systems. Thus using them in an energy system would count as an advantage. Lately, the procedure of implementation of these systems has been studied widely and various motives behind implementing them have been reviewed. For example, the effect of cost optimization in electrical vehicles on reliability indicators from the load management perspective can be addressed. Therefore this thesis has studied the effect of electrical and thermal storage systems on the reliability indicators of an energy hub and the effect of... 

In this thesis, the bidding strategy of prosumers in transactive energy markets is analyzed. Considering the repaid increase in utilizing installations that convert multiple energy together, the concept of multi-carrier energy studies has been highlighted. Moreover, with the advent of district heating networks, thermal energy markets have gained much attention lately. The agent who participates in such markets can appropriately benefit from the inherent interdependencies between various energy carriers depending on their prices in different energy markets. This market player is technically called to pose an energy hub. In this regard, to deploy the inherent abilities of such an energy... 

The power systems’ net-load variability and uncertainty would aggravate significantly as the penetration of Renewable Energy Resources (RERs) in power systems increases. In response, power system researchers have introduced a new concept, namely flexibility, to quantitatively and systematically deal with unavoidable features of RERs. In power distribution systems as the connection point of power systems with customers, there are many opportunities for improving the flexibility level of systems. Nowadays, the emergence of prosumers has created new opportunities for distribution system operators in providing the system with different services of flexibility in distribution systems. Therefore,... 

In recent years, various studies have been conducted focusing on the optimization and scheduling of energy hubs (EH). EH optimization is important because it tries to create synergy in the energy supply system by considering the relationships between energy carriers. For this purpose, various algorithms such as analytical methods (linear programming) and evolutionary and heuristic algorithms have been used. Also, recently, various studies have addressed the applications of reinforcement learning for energy hub management. In this study, a hybrid model for energy hub management has been developed by combining classical linear models (Known as white-box models) and reinforcement learning... 

Heat losses and pump electrical energy consumption are inevitable during the operation of a district heating(DH) network. Therefore, the appropriate design and operating strategy of a DH network is required in order to reduce the heat losses and pump energy consumption. This study is aimed at optimizing pipe diameters and mass flow rate in a DH network according to heat demand of the building in order to minimizing operating cost of the network.For this purpose first drawings of the building is modeled in Auto Cad software. Then according to the position of building to the sun, the building is modeled in Desighn Builder software. In this software the buildings charactersitics like materials... 

Hybrid vehicles have many advantages, including reducing greenhouse gas emissions, saving fuel, and optimizing energy use. Proper routing for hybrid vehicles can improve fuel efficiency, increase energy efficiency, and even extend the life of electric batteries. In this study, two routing modes, offline and online, are introduced. The offline mode guides the vehicle from the starting point to the destination by using satellite traffic data and geological information such as slope information. In the online mode, the vehicle, with the ability to receive signals from surrounding vehicles (V2V), such as a breakdown of the vehicle in front, and considering concepts such as traffic, the presence... 

This thesis presents a stochastic framework to properly involve the uncertainties associated with demand in distribution system restoration (DSR) problem. The restoration process returns the system back to normal operation after any combination of system components have been lost due to an outage. During restoration, the system operator executes a set of actions that progressively mitigate the outage. These actions aim at minimizing the impact of the outage on the final user without compromising the security and operability of the system. In this framework, dynamic programming (DP) is used to solve DSR problem for a distribution system that accommodates various technologies of DG units and... 

A virtual power plant is defined as a set of independent consumers or diverse generating units, flexible loads and storage systems in a specific geographic area. The primary purpose of a virtual power plant is thus to coordinate the production and consumption of its constituent parts with a view to maximizing their performance in energy markets. The components of the virtual power plant that study in this research include microturbines as dispatchable power plants, storage units, solar cells as stochastic generating units, and demand-response. In this regard, first, the main components of the virtual power plant are identified. Then, the mathematical model of each of these components is... 

Gasoline is the major fuel used in transportation sector, even though it's environmental associated concerns and energy security problems receive, and continue to receive, much debate. On the other hand, growth in Iran's population and economy might cause an increase in the amount of cars in the market, consequently, in the transportation sector. The proposed phenomenon will bring a degree of rising in consumption of gasoline together with air pollution, especially in the big cities. Energy policy has acknowledged to be significant step in developing long-term plans across the globe. In this regard, developing policy-based methods and models are of a great importance toward forecasting the... 

In recent years, due to the increase in distributed generation, the use of renewable energy sources and the emergence of restructuring and energy markets, traditional distribution networks transform to complex and active distribution networks. These issues, along with requirements such as increasing power quality and reliability, have increased the need to provide active distribution management systems and the use of effective network monitoring, control and protection systems. Due to the complexity and expanse of distribution networks, as well as the development of the use of metering elements and remotely controllable elements, one of the important issues in these systems is the... 

Optimizing and reducing energy consumption will be a feature of smart cities in the future. In addition to the technical aspects of a technology, one of the most important obstacles to its lack of development is not considering economic factors. Investigating the economics and calculating the cost of using IoT systems in the energy sectors of a smart city is one of the most important issues. Using existing systems in buildings or adding limited and inexpensive hardware to make a building smart can make smartening a cost-effective operation and more widespread. In this research, a proposed architecture based on edge processing is described. In addition to receiving and displaying camera... 

With the increase of electric energy demand, one of the human concerns is to create the infrastructure for the production and transmission of energy in order to meet this need. Since the network must have the ability to supply the load during the peak load times, practically during the non-peak load times, many production capacities remain unused and their productivity decreases. One of the ways to reduce this problem due to the increase in penetration of batteries in the network can be the participation of battery banks to inject power into the network during peak load times. The goal of this project is to develop an 8 kilowatt-hour battery bank system that can inject 2 kilowatts of power... 

Expansion planning of distribution network assets is of importance to reliably supply the growing demand. Growing penetration of distributed energy resources (DERs) including renewable based distributed generators (DGs), conventional DGs, energy storage systems, and demand response (DR) resources in the network as well as their operational advantages make it necessary to address the investment planning of these resources in addition to the network assets. In order to effectively utilize the DERs and to solve the challenges arisen by their increasing penetration, active distribution networks (ADNs) are introduced which offer active network management capability. Passing through traditional... 

In order to actualize the development of sustainable and smart cities, load disaggregation plays such an important role for energy consumption optimization, load response, and distributed energy production network optimization. Researchers have observed that non-intrusive load monitoring is a low-cost method because it doesn't require multiple sensors, but it has issues with algorithm complexity, algorithm variety, and algorithm accuracy dependence on factors like data collection frequency and the type of energy-consuming equipment. In this research, an effort has been made to evaluate how sensitive certain algorithms are to adjustments in the frequency of data collection and the duration of... 

Increasing variability and uncertainty in modern power systems may affect the systems’ reliable operation. This means higher needs for flexibility provision in power systems to meet the net load variability and uncertainty. Distributed energy resources (DERs) dispersed in distribution networks have noticeable flexibility capabilities which can provide required flexibility of distribution network while they can help the transmission network to acquire the flexibility requirements if appropriately aggregated and coordinated. This thesis presents a market-based hierarchical framework for exploiting DERs’ flexibility provision to meet intra-hourly variability and uncertainty of net loads in...