The consumers with building integrated photovoltaic (PV) systems have become prosumers, and their profit depends on network regulations, especially in the treatment of surplus electricity. Net-metering and feed-in tariff are the most common remuneration mechanisms for prosumers. Increasing the number of prosumers can cause various technical problems in the grid, therefore the distribution system operator sometimes imposes legal/regulatory and technical restrictions that are reflected in zero energy export. Integration of the energy storage systems can help with problems arising from these restrictions, but will make the initial investment significantly more expensive. This may negatively affect the profitability of investment. The main aim of this paper is analysis of different regulatory policies and their impact on building integrated PV system profitability. Two profitability metric factors were calculated for the purpose of better policy comparison. For the presented analysis, real data sets of a load demand and PV energy production were used. As an example, the integrated PV system installed at the Faculty of EE University of Sarajevo is analyzed.

Building integrated microgrids (BIMs) present a promising step towards a more efficient, decentralized and sustainable power system. Many buildings already have various renewable energy sources (RES) integrated, but the next step is adding energy storage (ES) systems, or proactive loads such as electric vehicles (EVs) to an already established system. However, ensuring the resilience of the system to accept these new elements presents a challenge in terms of stability, efficiency, and operational capability. This paper focuses on size optimized BIM simulated on Typhoon Hardware-in-the-Loop (HIL) platform using real measured load and PV production data. A rule-based energy management system (EMS) is proposed and its effective-ness is analyzed through testing resilience of the system under consideration. Performance analysis is conducted by adding an EV and assessing system response in several scenarios of load and EV use profiles. Through Typhoon HIL simulations the power profiles of system elements are analyzed, leading to conclusions on BIM performance.

Building integrated microgrids and building integrated photovoltaic systems (BIPV) are emerging as a promising avenue for seamlessly integrating small scale renewable energy sources (RES) into the grid. Challenges arise as new ideas are being explored and implemented in this area, and one of them is maximizing self-consumption and self-sufficiency, for any energy policy, but especially while adhering to zero energy export (ZEE) policy restrictions. As a solution to enhance the utilization of BIPV system this paper proposes a load management (LM) technique. By combining on-grid photovoltaic (PV) system with controllable loads, this paper demonstrates how proactive LM can increase self-consumption and self-sufficiency factors, as well as mitigate PV produced energy dumping due to ZEE restrictions. A case study in the wood sector's industrial building illustrates the efficiency of this approach, showcasing reduced reliance on grid power during sunny periods and increased self-sufficiency through strategic load scheduling. Real-world data analysis validates the effectiveness of LM in aligning PV generation with building energy demands, offering insights into its potential for broader adoption in the renewable energy sector.

In this paper, the control of the electric vehicle with in-wheel motor drives is presented. Electric vehicle control is implemented through a drive motor control strategy based on the theory of discrete-time sliding mode. The speed controller is obtained as a combination of discrete-time first order sliding mode control and discrete-time realization of super twisting control algorithm that is commonly used in second-order sliding mode. The design of the proposed speed controller is performed using a discrete-time model of electrical drive. Various tests were performed in Matlab/Simulink software to validate the electronic differential system, vehicle model and engine control algorithm for different types of vehicle movement.

A building-integrated microgrid (BIM) has been a widely utilized concept in low-carbon smart cities. The key advantages of microgrids are using locally available renewable energy sources (RES) and reducing dependency on fossil fuels. Solar photovoltaic (PV) systems and battery storage systems play a crucial role in BIM to achieve desired goals. Due to legal/regulatory and technical restrictions, the distribution system operator (DSO) often imposes zero energy export (ZEE) for these microgrids. Therefore, the sizing of solar-battery systems in BIM, which will be technically feasible and economically optimized, is a challenge for designers, owners and DSO. The objective of this paper is to show the practical approach for design and sizing a microgrid for public buildings using the real data sets of a power consumption and solar energy production. As an example, the BIM for the Faculty of Electrical Engineering, University of Sarajevo is presented.

Direct current (DC) power systems are gaining interest in the last decade due to increased utilization of DC outputted power sources, DC based energy storage (ES) elements and DC inputted loads. Microgrids are also becoming widely researched as the main foundation of smart grid. It is therefore logical to try to utilize DC microgrid (DCMG) concepts in organization of power systems in wide range of applications. DC microgrids have several important advantages compared to alternating current (AC) microgrids. The control system is essential in order to keep DCMG operating properly, reliable and efficient. Their control structures, with special interest in hierarchical control are explored and compared in this paper in terms of architecture and techniques. This paper presents real world applications using DCMG concept. Future research propositions given in the final chapter can be used as a foundation for researchers exploring the area.

Energy consumed by trams is studied in many papers, with a wide diversity of approaches regarding how to model and solve this problem. A novel approach to modeling the power consumption of trams is presented in this paper. To identify the unknown parameters influencing the rolling resistance force acting on the tram, it is necessary to measure the power consumption and speed of a single tram (or multiple trams if there are different car types in operation). The developed model of the tram is calibrated with data from the Sarajevo tram system. Simulation results are compared with measurements and a good correlation was obtained. The power consumption model of the tram with identified parameters can be further used to develop a framework for the power consumption estimation of the traction substation.

Microgrids provide a way to introduce ecologically acceptable energy production to the power grid.The main challenges with microgrids are overall control, as well as maintaining safe, reliable and economical operation.Researchers explore implementing these possibilities, but in rapidly expanding areas of research there is always a need to review what has been done so far and give guidelines to new researchers on topics in need of more exploration.This paper offers an extensive literature review of the energy management part of the microgrid control system.Based on extensive literature research, the authors of this article offer their view on energy management system organization.Review through centralized and decentralized structure is given.The most popular research topic is the optimization of energy management.This paper offers a new perspective on the classification of optimization methods used for microgrid energy management, listing and sorting many problem related references.The microgrid is not an assembly of independent elements but rather a coordinated system of intertwined functions.These elements of microgrid functioning, like energy storage systems, demand side management.Electric vehicles are also explored in this paper, giving the current state of their research through references.

Application of a discrete time (DT) sliding mode controller (SMC) in the control structure of the primary controller of a three-phase LCL grid inverter is presented. The design of the inverter side current control loop is performed using a DT linear model of the grid inverter with LCL filter at output terminals. The DT quasi-sliding mode control was used due to its robustness to external and parametric disturbances. Additionally, in order to improve disturbance compensation, a disturbance compensator is also implemented. Also, a specific anti-windup mechanism has been implemented in the structure of the controller to prevent large overshoots in the inverter response in case of random disturbances of grid voltages, or sudden changes in the commanded power. The control of the grid inverter is realized in the reference system synchronized with the voltage of the power grid. The development of the digitally realized control subsystem is presented in detail, starting from theoretical considerations, through computer simulations to experimental tests. The experimental results confirm good static and dynamic performance.

The Advanced Distribution Management System (ADMS) has grown to be a highly complicated system that comprises distribution generation, batteries, power electronics, and, in case of an urban area, an electric transportation system. One of the most essential features of ADMS is maintaining node voltages and branch thermal ratings within defined limits while maintaining minimal system losses and maximizing the use of renewable energy. Voltage VAr control (VVC) is extensively used to address these challenges and is becoming increasingly significant in ADMS. A side from the necessity to manage the system status, VVC must be adaptable to accommodate future Smart City (SC) requirements such as electric-vehicle charging and energy recuperation management. The majority of existing systems control the DC electric transportation system separately from the entire AC system. This paper attempts to tackle the problem using a hybrid single model that incorporates both: AC and DC network components.

This article proposes a new robust dead‐beat controller for multivariable systems using multirate sampled data. Applying a discrete‐time higher order sliding mode control approach, the proposed dead‐beat controller design uses the state‐space nominal model (model without disturbances) of the system and its controllability indices to compute the state feedback matrix. The obtained control annihilates the system state in a minimal number of sampling periods. For example, a heuristic procedure for selecting a sampling time is considered in order to keep maximal amplitudes of control inputs within the allowable limits. Since the dead‐beat control has poor robustness, a new discrete‐time supertwisting disturbance observer is used to suppressed disturbance effects. Stability analysis of the proposed observer has shown that it is suitable for Lipschitz type of disturbances. The sampling period of the disturbance observer is generally smaller than the control sampling period. Properties of the proposed control system are demonstrated in simulation examples.