The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Recently, the price of photovoltaic (PV) has been reduced massively, consequently the installations of PVs and roof PVs both are increasing rapidly. Although, growing PVs are beneficial for smart grid and environment but problem is that management of PV energy is a challenge. For example, PV generator output power is very uncertain, its mainly depend on weather conditions. Besides, PVs are generating...
The Sumba smart microgrid project was built in 2012 as a research means to demonstrate PV power plant integration into utility grid that implemented modern control and information technology to reduce effects of intermittency PV output. It consists of PV, battery, diesel generator, and SCADA subsystem. Since battery subsystem had a problem in its PCS system then some changes in compensation algorithm...
This paper studies the problem of distributed economic dispatch for smart grids under heterogeneous time delays. We design a state predictor for each agent to compensate the effect of heterogeneous time delays. This predictor allows the agents to predict the missing states between two consecutive update times. Based on the predictor, we propose a distributed gradient-descent algorithm to locally update...
In this paper, a dynamic economic dispatch problem (DEDP) which considers the benefit function, environmental cost function and fuel cost function is studied by the distributed strategy. We propose a distributed algorithm based on undirected graphs and alternating direction method of multipliers (ADMM). Firstly, the DEDP is decomposed into three minimization steps to solve according to ADMM. Secondly,...
This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This leads to a multiobjective optimization problem (MOP) which can be solved through the multiobjective immune algorithm (MOIA). Therefore, the energy market...
The increasing share of renewables is creating new challenges for distribution grids and operators have to adopt more and more advanced tools for the evaluation of network investments, especially for scenarios in which distributed generation is expected to drastically grow. In particular, the maximum connectable power (Hosting Capacity) as well as the benefits that Smart Grid technology can bring...
Demand Side Management (DSM) has been become a popular option for improving electricity system operations and reliability. Moreover, Demand Response (DR) programs provide superior efficiency and flexibility to their users. This paper proposes a method to assess system reliability and evaluate the specific contributions made by spinning reserves (SR) and DR. The method structurally and spatially decomposes...
This paper presents an assessment of the impacts of Demand Response (DR) programs and distributed generation (DG) in the chargeability of the Colombian power system. Initially, several indexes are defined to account for the impact of single contingencies in the chargeability of the Colombian power system under different operative scenarios. Then, the most critical operative scenario in terms of number...
Smart-grids are currently of great social and scientific interest. For certain social actors, they have generated a great deal of expectation. There are several aspects to take into account when advocating for a universal implementation of smart-grids. Here we concentrate in their possibilities regarding the co-evolution between technical integration and social interaction. We propose a framework...
This paper investigates the potential of minimax-cost and minimax-regret approaches for centralized & determinative transmission expansion planning under uncertainty regarding market-based generation expansion, particularly when the times needed to implement transmission facilities are longer than those required to build renewable generators. The approaches can deal with non-probabilistic uncertainties...
The increasing penetration of renewable generation for decarbonising the power sector leads to important techno-economic challenges for grid-stakeholders. Many Latin American countries are already fed from high-levels of renewable sources which requires innovative measures for maintaining the stability and safety of their systems. Solar Farms, in particular, present a unique behaviour with fluctuating...
In 2008, Brazil started using a mechanism to enable the sharing of network facilities for connecting small-scale renewable generators to the transmission grid, which led to opportunities to capture economies of scale and benefits to generators and energy consumers. In practice, the mechanism was virtually abandoned in recent years. This paper presents an alternative to revisit this mechanism. The...
The emerging potential of distributed generation (DG) is feasible to be conducted through microgrids implementation. A microgrid is a portion of the electrical system which views generation and associated loads as a subsystem, with the ability to operate both grid connected or islanded from grid, thus maintaining a high level of service and reliability. The existing grid infrastructure, the distributed...
In this paper, an economic power dispatch problem is considered for smart grids. Firstly, the power dispatch problem is described by a constrained optimization problem, which is solved by Lagrange multiplier and Karush-Kuhn-Tucker condition. The incremental costs of generators are shown to reach consensus when the optimization problem is solved. Secondly, a new dynamic dispatch strategy is proposed...
This paper presents a distributed strategy for load balancing in a smart grid, modeling demand and supply as a networked dynamical system. The algorithm, which is characterized by point-to-point communications among agents implemented at the level of local energy management systems, is proven to converge to a Wardrop equilibrium. Numerical simulations of realistic scenarios are reported to show the...
This paper presents a novel carbon emission flow (CEF) model to assess and analyze the carbon emission of each component in power networks. Through the use of information about CEF, demand side management (DSM) and supply side management (SSM) are combined to reduce the emission. Three levels of load curtailment and three strategies of renewable energy sources (RES) utilization are proposed. The IEEE...
This paper presents the simulation of a smart grid power dispatch. Smart Grids can be defined as a modern power system that monitors, protects and automatically optimizes the operation of its interconnected elements (central and distributed generators, transmission and distribution network, industrial consumers, energy storage devices and end-use consumers). The simulation is performed for a system...
Novel approaches for the decentralized operation of the power system are gaining attention. In this direction, a fully distributed method is proposed for the economic dispatch problem that takes into account transmission losses. We assume that the total losses are calculated using loss coefficients and that the generators communicate through a peer-to-peer structure calculating the solution in a distributed...
This article describes the results of the European Project Empower. This project is about the creation of a trading platform for local energy exchange in local markets. To do so, a system architecture is proposed, based on the Smart Grid Architecture Model (SGAM). The implementation of the developed platform has been tested in the Prosumer Lab environment. The Prosumer Lab is an installation at the...
This paper considers the simulation of microgrids with smart meters that make it possible to control the demand at individual consumer buildings. To create effective system-level models for simulation studies of energy management strategies, probability distributions for the aggregate demand of all system loads are computed from probability distributions for the individual loads of each consumer....
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.