Review on Integration of Wind and Solar DC Microgrid Using Matlab (original) (raw)
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INTEGRATION OF WIND AND SOLAR POWER TO A DC MICROGRI
Operational controls within the microgrid are designed to maintain the integration of the wind and solar power. The dc microgrid is propounded to comprise a wind energy conversion system (WECS), a photovoltaic array (PV), battery energy storage system (BESS) and supercapacitor (SCAP). Droop control for power electronic converters connected to battery storage which is a function of the storage state-of-charge (SOC) and can become asymmetric is developed and tested. Supercapacitor and battery are modeled with an energy management strategy in a hybrid storage system. SCAPs are featured for peak power demand, and batteries supply the power in the steady state. Untapped wind and solar are supporting to deliver to electric vehicles (EV) and the main AC grid.
DC Microgrid for Wind and Solar Power Integration
IEEE Journal of Emerging and Selected Topics in Power Electronics, 2014
Operational controls are designed to support the integration of wind and solar power within microgrids. An aggregated model of renewable wind and solar power generation forecast is proposed to support the quantification of the operational reserve for day-ahead and real-time scheduling. Then, a droop control for power electronic converters connected to battery storage is developed and tested. Compared with the existing droop controls, it is distinguished in that the droop curves are set as a function of the storage state-of-charge (SOC) and can become asymmetric. The adaptation of the slopes ensures that the power output supports the terminal voltage while at the same keeping the SOC within a target range of desired operational reserve. This is shown to maintain the equilibrium of the microgrid's real-time supply and demand. The controls are implemented for the special case of a dc microgrid that is vertically integrated within a high-rise host building of an urban area. Previously untapped wind and solar power are harvested on the roof and sides of a tower, thereby supporting delivery to electric vehicles on the ground. The microgrid vertically integrates with the host building without creating a large footprint. Index Terms-Distributed energy resources, droop control, electric vehicle (EV), emission constraint, fast charging, microgrid, multilevel energy storage, optimal scheduling, power electronic conversion, solar power, wind power. NOMENCLATURE Acronyms BESS Battery energy storage system. dc Direct current. EV Electric vehicle. MES Multilevel energy storage. NR Negative energy reserve of BESS. PR Positive energy reserve of BESS. PV Photovoltaics. RES Renewable energy sources. SOC State of charge. UPS Uninterruptible power supply. WECS Wind energy conversion system. Variables and Operators C Cost of energy. DOD Depth of discharge. E BESS State of charge of BESS. E BESS-0 Initial state of charge of BESS.
Dynamic performance analysis of an integrated wind-photovoltaic microgrid with storage
This paper presents a power and energy management strategy for a wind-photovoltaic (PV) microgrid with an energy storage system (ESS) and PV array current injection on the DC-link. The ESS consists of a battery and a supercapacitor interfaced to the DC-link through bi-directional DC-DC converters. Cascade PI control is used to regulate the current supplied by the ESS to the DC-link. A fuzzy logic controller is proposed for efficient power sharing between the battery and the supercapacitor. A discrete-time simulation model is used to study the microgrid operation. The PV array model is implemented as an s-function. Using the proposed system, the power supplied to the grid is maintained at the desired reference value during changes in wind speed, solar radiation, and grid power demand. Results also show that the ESS improves the DC-link voltage stability during three-
Autonomous Battery Storage Energy System Control of PV-Wind Based DC Microgrid
International Journal of Ambient Energy, 2019
This paper describes the simulation and modelling of a DC microgrid. The proposed microgrid system comprise of a wind turbine, solar PV array, battery storage systems and control and dc loads. The wind turbine is interfaced to the microgrid with MPPT to extract maximum power and PV array is connected via boost converter to the dc grid. A constant dc bus voltage is maintained with the help of controlled Battery Energy Storage System (BESS) which is connected via bidirectional buck-boost converter. The system is designed and analyzed in MATLAB-SIMULINK under different operating conditions of wind speed and solar irradiation and the results have been studied.
Management Controller for a DC MicroGrid integrating Renewables and Storages
IFAC-PapersOnLine, 2017
DC MicroGrids present an increasing interest as they represent an advantageous solution for interconnecting renewable energy sources, storage systems and loads as electric vehicles. A high-level management system able to calculate the optimal reference values for the local controllers of each of the DC MicroGrid interconnected devices is introduced in this paper. Both the changing environmental conditions and the expected load variations are taken into account. The controller considers power balance and the desired voltage level for the DC microgrid. Constraints taking into account the different nature of the storage devices are also considered.
Electronics
Recently, the penetration of energy storage systems and photovoltaics has been significantly expanded worldwide. In this regard, this paper presents the enhanced operation and control of DC microgrid systems, which are based on photovoltaic modules, battery storage systems, and DC load. DC–DC and DC–AC converters are coordinated and controlled to achieve DC voltage stability in the microgrid. To achieve such an ambitious target, the system is widely operated in two different modes: stand-alone and grid-connected modes. The novel control strategy enables maximum power generation from the photovoltaic system across different techniques for operating the microgrid. Six different cases are simulated and analyzed using the MATLAB/Simulink platform while varying irradiance levels and consequently varying photovoltaic generation. The proposed system achieves voltage and power stability at different load demands. It is illustrated that the grid-tied mode of operation regulated by voltage so...
DC MicroGrids Control for renewable energy integration
2019
Power grids will be submitted to further constraints in the coming years due to climbing consumption and development of decentralized and intermittent electricity production from renewable sources. However, the efforts are needed to improve the quality of grid and satisfy the grid code as stability, and also to reach the climate requirements set by France and Europe. This study is a contribution to the integration of photovoltaic generation (PV) in the power grid. This energy called renewable has immense potential. However, its intermittent effect remains a real disability restricting development on a large scale. o answer the new constraints of connection to the network (Grid-Codes), we The large penetration intermittent energy sources, presents a new challenges to power systems' stability and reliability; we consider in this work their connection through a Direct Current (DC) MicroGrid and a hybrid storage system, in order to satisfy constraints of connection to the network (t...
2014
This paper presents the coordinated control of distributed energy storage systems (DESSs) in DC micro-grids. In order to balance the state-of-charge (SoC) of each energy storage unit (ESU), an SoC-based adaptive droop control method is proposed. In this decentralized control method, the droop coefficient is inversely proportional to the n th order of SoC. By using SoC-based droop method, the ESUs with higher SoC deliver more power, while the ones with lower SoC deliver less power. Therefore, the energy stored in the ESU with higher SoC decreases faster than that with lower SoC. The SoC difference between each ESU gradually becomes smaller and finally the load power is equally shared between the distributed ESUs. Meanwhile, the load sharing speed can be adjusted by changing the exponent of SoC in the adaptive droop control. The model of SoC-based adaptive droop control system is established and the system stability is thereby analyzed by using this model. Simulation and experimental results from a 2×2.2 kW parallel converter system are presented in order to validate the proposed approach. Index Terms-Droop control; distributed energy storage system (DESS); DC micro-grids; state-of-charge (SoC) I. INTRODUCTION ith the objective to electrify remote areas and energy islands, the micro-grid concept is gaining more and more popularity [1]. Nowadays DC micro-grids are becoming more attractive with the raise of DC power sources, storages, and the loads with natural DC coupling, e.g. photovoltaic modules, batteries, fuel cells, LEDs, and so on. With the comparison of the overall efficiency, it can be found that the efficiency of DC system is higher than the AC system [2]-[3]. At the same time, DC do not require for Manuscript
Modelling and simulation for energy management of a hybrid microgrid with droop controller
International Journal of Electrical and Computer Engineering (IJECE), 2023
The most efficient and connected alternative for increasing the use of local renewable energy sources is a hybrid microgrid, these systems face additional challenges due to the integration of power electronics, energy storage technologies and traditional power plants. The hybrid alternating currentdirect current (AC-DC) microgrid that is the subject of this research uses a primary-droop control system to regulate state variables and auxiliary services, thus, it is composed of batteries, solar panels and a miniature wind turbine (PDC) and controls how each energy source in a microgrid contributes to the final product. To achieve the given objectives, this paper will create appropriate models for each part of the microgrid design and define, among them, the energy storage batteries and power electronic converters required for each level of each of these systems. Finally, the dynamic nature of the system will be critically evaluated and characterized, to distribute the load and reduce imbalances, modify the primary drop of the resulting microgrid using MATLAB simulation.