Advantages Of Microgrids Research Articles

Optimal economic-emission load dispatch in microgrid incorporating renewable energy sources by golden jackal optimization (GJO) and Mexican Axolotl optimization (MAO)

This article proposes the use of hybrid technique to achieve balanced and compromised solution among the generation cost and the emission of pollutants. Microgrids (MGs) are the restricted power energy system that transmitted, generated, and distributed. The renewable energy sources (RESs) are used in their fullest extent. Advantages of MG include reducing cost and transmission losses. Operated in different modes like wind turbine (WT), microturbine (MT) and fuel cell (FC). The proposed technique used to execute the golden jackal optimization (GJO) and Mexican Axolotl optimization (MAO) named as GJO–MAO technique. The objective of the technique is to solve dissimilar optimization issues in MG reduces the computational cost and maximize performance. The objectives of economic dispatch are based on fractional scheduling and restricted environment. Three different scenarios, low-voltage MG system are investigated. GJO–MAO techniques used to optimize various issues on MG by using renewable energy. The proposed technique performance is done in the MATLAB. When the time-of-use (TOU) energy market price strategy with the fixed pricing approach, the economic dispatch is calculated by time-of-use electricity market pricing method, generating cost decreases by 18.5%, 13.5% if the FP-related combined economic emission dispatch (CEED) is examined, and 15% after evaluating the environmental-constrained-economic-dispatch (ECED). The MG producing cost targets for ECED and ECD are according to renewable energy sources. The best and most system is used for finding a fair compromise between the cost of generating and emission. The smallest values of implementation time and standard deviation of superiority and robustness are achieved.

Modelling and optimization of combined heat and power system in microgrid based on renewable energy

Abstract Due to the short distance between the sources of production and consumption, microgrids (MGs) have received considerable attention because these systems involve fewer losses and waste less energy. And another advantage of MGs is that renewable energy sources can be widely used because these resources are not fully available and can provide a part of the required power. The purpose of this research is to model the MG considering the production sources of microturbines, gas turbines and internal combustion engines. Renewable energies such as wind turbines (WTs) and photovoltaic (PV) cells have been used to provide part of the required power and, because of the lack of access to renewable energy sources at all times, energy reserves such as batteries and fuel cells (FCs) have been considered. The power of the microturbine, gas turbine, internal combustion engine, FC and battery in this system is 162, 150, 90, 100 and 225 kW, respectively. After modelling the studied system, optimization was done using the imperialist competitive algorithm to minimize production costs and provide maximum thermal and electrical loads. The maximum production power for PVs is equal to 0.6860 MWh and at this time this value for WTs is equal to 0.3812 MWh, in which case the excess electricity produced will be sold to the grid.

Micro Grid of Hydroelectric Power Plant And Wind Power Plant

Electric energy, which is needed in all areas of life, plays an important role in raising the development level of the society. The demand for renewable energy sources has increased due to the continuous increase in energy need and the exhaustion of non-renewable energy sources. Micro-grids, which emerged as a solution to energy cuts and infrastructure problems in rural areas and areas far from the grid, are small energy grids that can operate independently or independently from the grid. In this study, micro-grids and the advantages of micro-grids, together with the energy production provided by micro-grids, are examined. Being a new energy source and being able to work independently from the grid is the most important feature of the micro grid. Therefore, the working principle of micro hydroelectric power generation systems and wind energy systems and the advantages of the micro grid are indicated by giving examples on their different aspects from other systems. In the MATLAB/SIMULINK program, a wind and micro hydro-electric hybrid power generation system model was designed and the simulation results were specified.

Research and Simulation of grid connected strategy for microgrid

With the growing demand for electricity, fossil energy gradually dried up, energy crisis and environmental pollution problems become increasingly serious, the global power industry is facing great challenges, so the micro grid from distributed generation arises at the historic moment. Flexible operation mode and high quality power supply service are the advantages of microgrid, but it needs perfect control system support. Therefore, the research of microgrid control strategy is of great significance. In view of this, a brief analysis of several important factors need to be considered when the micro grid connected to the grid, and then combined with the topological structure of a power academy microgrid experimental platform of control, research on micro grid control strategy, and through the MATLAB simulation with actual data.

Real time simulator for microgrids

Microgrids today include more and more renewable sources both for environmental and economic reasons. The advantage of microgrids is their capacity of running isolated. The presence of largely uncontrollable sources (PV plants and wind farms) makes the grid control a complex task. During the design stage it is mandatory to consider the expected variations of both loads and sources to identify proper solution for stabilizing the Microgrid when it runs isolated.The paper presents a simulator that was developed to support the design of the Microgrid both in terms of power devices and control techniques. The main goal of this simulator is to test the automation system of the Microgrid before its site installation. The simulator calculates the dynamic behavior of conventional generators, renewable source, and loads. The model of renewable sources includes the expected power variations as well as the random profile of loads. If required, energy storage systems can be integrated in the simulator. All the control set-point of controllable equipment and the calculated frequency and voltage of the Microgrid are interfaced with the control system using a standard Ethernet-base fieldbus. Such a solution makes it possible to study different control logics and to tune the control parameters of the system using the real control system. The data exchange between the simulator and the control system is identical to the real data flow that will be found in the Microgrid. With the use of the simulator, the control system of the Microgrid is implemented during the design stage, with reduced development, testing, and commissioning times.

A multi-objective framework for cost-unavailability optimisation of residential distributed energy system design

Future energy systems are expected to include distributed energy systems (DES) and microgrids (MG) at the distribution level. These energy efficient environments enable participating consumers to locally generate and share both electrical and thermal energy. Apart from the potential for a more cost-efficient energy system design, improved system availability is also increasingly put forward as a major advantage of MGs. This paper proposes a mixed-integer linear programming (MILP) approach for the design of a neighbourhood-based energy system, considering the trade-off between total annualised cost and electrical system unavailability. System design is optimised to meet the yearly neighbourhood energy demands by selecting technologies and interactions from a pool of dispatchable and renewable poly-generation and storage alternatives. The availability implementation employs a Markov chain approach combined with logic-gate integer programming. The Pareto trade-off sets of on- and off-grid MG modes are obtained using a weighted-sum approach. The developed model is subsequently applied to an Australian case-study. The sought after trade-off “knee” points for each Pareto curve are hereby identified. Additionally, through comparing on- and off-grid design trade-offs, the need for component redundancy for systems with islanding capabilities is analysed.

Intelligent Control of Battery Energy Storage for Multi-Agent Based Microgrid Energy Management

Microgrids can be considered as controllable units from the utility point of view because the entities of microgrids such as distributed energy resources and controllable loads can effectively control the amount of power consumption or generation. Therefore, microgrids can make various contracts with utility companies such as demand response program or ancillary services. Another advantage of microgrids is to integrate renewable energy resources to low-voltage distribution networks. Battery energy storage systems (BESSs) can effectively compensate the intermittent output of renewable energy resources. This paper presents intelligent control schemes for BESSs and autonomous energy management schemes of microgrids based on the concept of multi-agent systems. The proposed control scheme consists of two layers of decision-making procedures. In the bottom layer, intelligent agents decide the optimal operation strategies of individual microgrid entities such as BESSs, backup generators and loads. In the upper layer, the central microgrid coordinator (MGCC) coordinates multiple agents so that the overall microgrid can match the load reduction requested by the grid operator. The proposed control scheme is applied to Korea Power Exchange’s Intelligent Demand Response Program.

Power Scenario Prospects for Micro Grid

This paper gives an overview of the developing Micro Grid technology for power systems. To overcome energy crisis, renewable energy sources prove to be an alternate. It briefs on the technical outlook, applications, and advantages of Micro grid over the ordinary passive macro grids, thus widening its scope for research and development globally. Keyword: Renewable energy resources, Centralised grid, Micro grid, Distributed Generation I. INTRODUCTION Energy is the lifeblood of modern civilisation. With the emerging thirst for domestic and industrial power, energy management has become a challenge. The time has ripened to adopt evolutionary strategies across the globe to provide consistent, cost effective, affordable, green and quality power for socio-economic, environmental and technical benefits. One such strategy is Micro Grid that integrates distributed on-site generation stations of end-users, with or without the Centralised grid, making electricity bidirectional. It perfects power for a secure and sustainable in energy sector. II. BASIC CONCEPTS OF MICRO GRID Micro grid is an aggregated concept with participation of available supply and demand side energy resources in low-voltage distribution grids, via application of emerging technologies in power electronics interfaces, modern controls and nanotechnology. A sample Micro grid is shown in Fig. 1. Such self-sufficient future guaranteed systems can be operated in a non-autonomous way, if interconnected to the grid. Otherwise it can be operated in an autonomous way, if disconnected from the main grid.