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.
The objective of this paper is to present some discussions about data treatment in the new environment existing in the power systems and smart-grids. The paper presents some aspects of the data acquisition, communication, and security, and data amount, management, and mining. In this paper, some ideas are proposed to inspire discussions about the above themes. The goal of these discussions is to provide...
In view of China's national conditions, this paper put forward a novel strategy for the maximization of renewable energy consumption, with collaborative controlling between the transmission network and the distribution network. This strategy took the local distribution network as a flexible and adjustable electric source, which played an active role in the consumption activity of the large-scale renewable...
Data centers are becoming a significant energy consumer. Server workload, cooling, and supporting infrastructure represents large loads for the grid. This paper intends to present a comprehensive literature review that account for generation, loads, storage, and topology of data centers. It is shown that green data centers are emerging which incorporate renewable energy sources to cap their carbon...
This paper aims to develop a management method considering load demand for electric vehicle charging. The method developed by means of modeling a stochastic distribution of charging and a demand dispatch calculation. Optimization processes have proposed to determine optimal demand shifting so that charging costs and demands can possibly be managed. The time of use electricity rate has been put into...
Demand response aims at utilizing flexible loads to operate power systems in an economically efficient way. A fundamental question in demand response is how to conduct a baseline estimation to deal with increasing uncertainties in power systems. Unfortunately, traditional baseline estimation lacks the ability to characterize uncertainties due to their deterministic modeling. This deficiency often...
Charging control strategies can significantly alleviate the impact of electric vehicles (EVs) to power systems, as well as utilize the flexibility of EV charging to achieve extra benefits. This paper proposes an EV charging control strategy to achieve valley-filling using EV charging load. The strategy consists of system-level control and supporting control for the charging of individual EVs. The...
This paper presents a new modeling framework for analysis of impact and scheduling of price-responsive as well as controllable loads in a three-phase unbalanced distribution system. The price-responsive loads are assumed to be linearly or exponentially dependent on price, i.e., demand reduces as price increases and vice versa. The effect of such uncontrolled price-responsive loads on the distribution...
Demand response is a key solution in smart grid to address the ever-increasing peak energy consumption. With multiple utility companies, users will decide from which utility company to buy electricity and how much to buy. Consequently, how to devise distributed real-time demand response in the multiseller̈Cmultibuyer environment emerges as a critical problem in future smart grid. In this paper, we...
The distribution generation and demand response remuneration practices, used by most aggregation entities, considers simple characteristics as the type of resource. This evaluation may cause a non optimized tariff definition in most cases. For this paper, a Virtual Power Player as aggregator is considered, which is able to make clusters of both producers and consumers. The proposed methodology defines...
Introduction of the smart grid circumstance encourages more demand-side participation in the power system operation. Accordingly, many kinds of the demand response (DR) programs are implemented by electric utilities. Among the DR programs, real-time pricing (RTP) is considered as a good option to utilities because it can directly reflect time-varying production cost to retail price; however, an implementation...
Time-shiftable loads have recently received an increasing attention due to their role in creating load flexibility and enhancing demand response and peak-load shaving programs. In this paper, we seek to answer the following question: How can a time-shiftable load, that itself may comprise of several smaller time-shiftable subloads, submit its demand bids to the day-ahead and real-time markets so as...
Paying for load reductions results in a market, where the amount of resources sold is less than the amount of resources bought. To resolve this imbalance, ISOs must allocate the cost of compensating demand response to those who benefit from reduced LMPs. Current cost allocation methods are based on each energy buyer's load share. In an uncongested network, this results in a “fair” allocation of costs,...
Contingencies of transformers in a multi-unit substation may affect life of healthy units severely due to overloads. This paper proposes a novel demand response (DR) and dynamic thermal rating (DTR) based optimization model for efficient capacity utilization and life management of transformers during contingencies. The model opts for the optimal combination of corrective actions among load curtailment...
As more Smart Grid technologies (e.g., distributed photovoltaic, spatially distributed electric vehicle charging) are integrated into distribution grids, static distribution simulations are no longer sufficient for performing modeling and analysis. GridLAB-D is an agent-based distribution system simulation environment that allows fine-grained end-user models, including geospatial and network topology...
Vehicle to Grid (V2G) service is being considered as a new value proposition for Plug-in Electric Vehicles (PEV). V2G service can be provided using unidirectional or bidirectional power flow and the control may be centralized or autonomous. V2G may be able to provide load following, balancing, or frequency regulation services which in the energy markets are described as one or a combination of regulation...
Distributed storages have been widely used and studied recently, including batteries and demand side resources, with the development of distributed energy resources (DERs). Each distributed storage has small capacity but the number of all distributed storages is very large, so it is not practical for an independent system operator (ISO) to dispatch these distributed storages directly. A storage aggregator...
This paper introduces a simple and fast heuristic approach for solving the distribution feeder reconfiguration problem with an objective of loss reduction and voltage profile improvement. In this paper, a single power flow solution is executed to specify all bus voltages and branch currents. The branch currents are utilized as switching indices to determine the open and closed status of sectionalized...
Demand side response (DSR) is expected to bring benefits in lowering or deferring energy costs, deferring network infrastructure investment and reducing customers' bills. However, very little evidence to suggest DSR can perform as expected. Therefore, this paper for the first time assesses the differences between realistic and expected DSR performance for domestic customers. In detail, it compares...
Financial transmission rights (FTR) is a financial instrument for the electricity market participant to hedge the transmission congestion cost. With growing development in demand response, load serving entities (LSEs) may participate in the electricity market as a strategic bidder by offering coupon-based demand response (C-DR) programs to customers. In the LSE's bidding process, the impact of FTR...
This work describes a methodology for informing targeted Demand-Response (DR) and marketing programs that focus on the temperature-sensitive part of residential electricity demand. Our methodology uses data that is becoming readily available at utility companies - hourly energy consumption readings collected from “smart” electricity meters, as well as hourly temperature readings. To decompose individual...
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.