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.
In this paper, we consider the energy-efficient coordination of a set of appliances in a smart-building. We introduce a theoretical formulation of the coordination problem and an Integer Linear Programming model for its resolution. Our formalization is complemented by an analysis of the properties and limits of the model. We also define a practical smart-building setting in which our formalization...
Residential Demand Response has emerged as an instrument of the modern smart grid to alleviate supply and demand imbalances of electricity. Utilizing their flexibility of electricity demand, residential households are offered monetary incentives to temporarily reduce energy consumption during times when the grid is strained due to a supply shortage. In this paper, we estimate the magnitude of reductions...
This paper aims to present an integrated platform to explore the role of society, culture, and behavior in energy efficiency uptake, and identify specific marketing techniques that may result in user behavior modification. We developed a consumer behavior modification framework which monitors consumer energy usage through the SDG&E Green Button API and make recommendations to the consumer. Behavior...
Recent development of information and communication technologies enables consumers to adjust energy and allow them to participate in the demand response (DR) programs. In this paper, we analyze of cooperative structure of DR and bidding strategy of aggregator using game theory. An aggregator who bundle consumers strategically bid in the day-ahead market. Consumers present the contract price of DR...
The article concentrates on the energy storage problem arising from small scale residential electricity generation, in the current case wind micro turbine and PV panels. The research objective is to increase the locally consumed energy share by using two water tanks, aiming to shorten the breakeven periods of the renewable energy production devices. The shaved peaks from stochastic wind turbine and...
A power balance between supply and demand is essential for reliable and stable operation of power grids. The mismatch between supply and demand causes the frequency deviations which results in malfunction of most of the electrical devices. Moreover, it affects the system stability resulting in system blackouts as that of USA, in 2003. For decades the balancing of supply and demand was based on generation...
In this paper, an optimal retail market pricing design for demand response in day-ahead scheduling of smart distribution networks is investigated. Through the well-designed retail market electricity price, the profit of each user is maximized; while the profit of the Distribution Network Operator (DNO) is guaranteed and the risk management model based on the Information Gap Decision Theory (IGDT)...
In this study, we examined demand response using air conditioners, determined the number of people by measuring CO2, and examined an application method to demand response. Most of the power in buildings is consumed by air conditioners, and their impact on the overall power consumption is high. Therefore, controlling the power consumption of air conditioners is an important factor in conducting demand...
Demand response can not only be used as a power supply resource to produce a negawatt in high power prices or when the reliability of the grid is threatened, but also can be applied to resolve a transmission expansion planning problem instead of implementing a costly and complex transmission upgrade solution. Essentially, the demand response resources (DRRs) can relieve the capacity requirement for...
The optimized operation of building energy management system (BEMS) is of great significance to its operation security, economy and efficiency. This paper proposed a multi-objective optimization model for a BEMS under time-of-use (TOU) price based demand response (DR), which integrates building integrated photovoltaic (BIPV) with other generations to optimize the economy and occupants' comfort by...
This paper proposes an innovative transformer management system (TMS) for energy control of customer loads and photovoltaic (PV) systems to solve the problems of transformer overloading and over voltage due to power injection by PV renewable energy. The operation status of distribution transformers is monitored by transformer terminal unit (TTU) and reported to the control master station via the hybrid...
This paper presents a unified probabilistic assessment of wind reserves for islanded microgrids. A multivariate nonparametric kernel density estimation algorithm is used to generate the probabilistic models of the wind resource, electrical demand and predicted performance of wind generation. These models are numerically combined to evaluate the capability of wind generation to act as a dynamic reserve...
Due to the electric power liberalization, many power producers are entering into the deregulated power market. Most of the electrical power companies are introducing Renewable Energy Sources (RES), which will increase the power system uncertainty. Consequently, the underlyng uncertainty imposed by RES will increase the likelihood of voltage instability and voltage collapse. Also, fluctuations in supply...
This paper is concerned with the benefits of a price responsive scheme as a demand response program focus on residential end-users. We consider several retail companies operating in the retail market and the Distribution System Operator optimizing the physical resources of the distribution networks. The price responsive scheme is modeled as an OPF problem. We use a decomposition model to formulate...
High penetration of distributed generators (DGs), using renewable energy sources (RESs), is raising some important issues in the operation of modern power system. The power output of RESs fluctuates very steeply, and that include uncertainty with weather conditions. This situation causes voltage deviation and reverse power flow. Several methods have been proposed for solving these problems. Fundamentally,...
Existing DR(Demand Response) protocols are designed with the most successful and popular application layer protocol, HTTP. However, due to the rapid development of the Internet-of-things (IoT) protocol, DR messaging technology based on the IoT(Internet of Things) protocol to be used for light energy devices is highly required. In this paper, we extend the existing DR protocol using CoAP which inherited...
Electrical power systems are undergoing a major change globally. Ever increasing penetration of volatile renewable energy is making the balancing of electricity generation and consumption challenging, forcing transmission system operators to spend increasing amounts of money for ancillary services. This creates interesting opportunities for demand side assets, that would be able to adjust their power...
With the development of microgrids (MGs), the energy management of MG is paid more attention. In this paper, a multi-party energy management framework for prosumers and operator considering combined heat and power (CHP) and heat storage with demand response (DR) is proposed. In particular, CHP can choose to obey the rule of heat-led mode or electricity-led mode to minimize the total operation cost...
With the development of the smart meters, demand response (DR) is able to provide fast ancillary services, such as frequency control. Some recent studies demonstrated that DR can perform like thermal generators in the frequency control. However, little attention has been paid to DR's effect on the electromechanical oscillations of the power system. Fast-response DR can not only affect system frequency,...
Demand response (DR) can offer various benefits depending on the purpose of the use. In this paper, DR is deployed to curtail peak loads, and we propose the methodology to determine DR pricing for Thailand electricity market. The optimal DR interval pricing is determined to maximize benefits of utility and DR participants for different DR scheduling times. The numerical results show that the prices...
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.