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.
Contingency analysis is a key function in the Energy Management System (EMS) to assess the impact of various combinations of power system component failures based on state estimation. Contingency analysis is also extensively used in power market operation for feasibility test of market solutions. High performance computing holds the promise of faster analysis of more contingency cases for the purpose...
Demand response (DR), coupled with smart-grid technologies, will be a big initiative for energy companies in the US for the next 3-5 years. This paper summarizes the key technical and IT challenges that will need to be solved to properly deploy DR at the wholesale and retail levels.
We discuss the evolving role of communication and control for automatic load management in electric distribution systems. We start by reprising a description of the Athens project - one of the earliest deployed examples of automatic load management at consumers enabled by communication signals. We observe that the use of communication for such systems has gone through distinct phases in its evolution...
Demand Response (DR) provides mechanisms and incentives for utilities, business and residential customers to reduce energy use (and costs) during time of peak demand or when system reliability is at risk. DR is considered by CPUC, DOE and FERC as one of high-priority Smart-Grid Functionalities. FERC has developed a national action plan on demand response, recognizing that a more extensive use of demand...
This paper explores a new technique of load modeling and estimation on distribution systems. With the emerging AMI technology real-time data about customer loads will be available and hence an estimate of loads on the distribution feeder can be made for system monitoring and control. With this data, a load model predicting the real-time load variations can be made. This paper elaborates the statistical...
This panel session will highlight the market impacts of integrating large-scale variable generation into wholesale electricity markets. The focus will be on examining the impacts of variable generation on market price volatility and the resulting impact on market behavior. Variable generation affects day-ahead and real-time energy markets, as well as markets for ancillary services. Market price volatility...
A simplified notional Next Generation Integrated Shipboard Power System (NG IPS) model is introduced. Based on the simplified system model, dynamic load management method is presented considering equality and inequality constraints of the system. The problem is formulated as a dynamic optimization problem to maximize the energized loads in the system without violating any constraint of the system...
Conventional power systems have been experiencing transition from centralized supply side management to decentralized supply&demand side management due to power system restructuring and addition of distributed generations (DGs) and Smart Grids (SGs) or Smart Distribution Systems (SDSs) with renewable power sources in the past two decades. Therefore load management under the new operating environment...
This paper presents some comparisons between the trends in electricity infrastructure growth in the United States and Brazil, and attempts to identify commonalities and differences on grid modernization efforts in these two countries using the Smart Grid Initiative as a template.
In this paper the effect of demand response (DR) resource utilization in the system operation is analyzed by using an optimization based simultaneous market clearing framework. Two distinct utilization patterns that DR can be involved are reserve supplying by Reserve Supplying Demand Response (RSDR) and providing actual curtailment for demand reduction or peak clipping by Peak Clipping Demand Response...
Micro smart grid technology provides a desirable infrastructure for energy efficient buildings. In additional to the power source from the grid, a micro grid for buildings may contain autonomous power generators possibly CHP, renewable energy resources such as PV solar cells, power storage devices and system loads including HVAC systems, lighting equipment, IT data centers, etc. With support of a...
The EPAct 2005 expresses the Federal Government's commitment to provide supporting infrastructures for electricity demand response to all classes of customers. Most end-use residential consumers are not able to participate in such program under current price structure. They are billed monthly with a static constant rate regardless of fluctuating true costs of electricity in real-time. With the increased...
This paper describes the implementation of demand response (DR) program in CAISO. A Participating Load Pilot (PLP) program has been implemented in CAISO system during summer 2009. This is the first time that a cross-section of residential, commercial and industrial customers has been in the PL (Participating Load) program and modeled in CAISO systems. This paper takes this Participating Load Pilot...
An active matching of supply and demand of electric power contributes to an optimised utilisation of power grids. In this paper, we will outline the potential of conjoint power generation management and load adaption measures especially regarding system load balancing in low voltage power grids.
Demand response is a reduction in the consumption of electricity by customers from their expected consumption in response to reliability or price triggered signals. Enabled by advanced metering infrastructure and other smart grid technologies, it is expected to be a crucial mechanism to compensate system uncertainties and the associated risks including those related to intermittent renewable generation...
With increasing penetration of communication and control technologies that enable “smart grid” functionalities, an infrastructure is rapidly evolving that will support the formation of networks of sources and loads that are amorphous and dynamic, completely unlike any power system network that is extant today. Researchers are already conceiving microgrids and nanogrids that are completely autonomous,...
This paper contributes to the discussion about the future integration of Smart Grids in the existing energy supply system on a mostly economical and regulatory point of view. One of the main issues in this case is the increasing costs due to grid enhancements under regulated grid tariffs. On the one side a concept based on an integrative customer oriented approach is described and the new roles of...
This paper discusses launch of the energy market in 2005 and the ancillary services market in 2009. Despite the growth in demand resource participation in the Midwest ISO markets since the launch of the Ancillary Services Market (ASM) and Resource-Adequacy requirements, more can be done to enhance opportunities for demand response and the positive impacts it creates for all involved in the wholesale...
This paper describes demand response prospects for South Korea. To manage the increasing electric power demand, the way to increase power generation has reached a limit becoming a social, economic and environmental problem. To solve this problem by managing the supply side, demand response (DR) has become an important solution. As seen in other countries, the Korean electricity community plans to...
Short-term electric load modeling and forecasting has been intensively studied during the past 50 years. With the emerging development of smart grid technologies, demand side management (DSM) starts to attract the attention of electric utilities again. To perform a decent DSM, beyond when and how much the demand will be, the utilities are facing another question: why is the electricity being consumed?...
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.