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.
A new smart strategy for supply-demand control in distributed energy systems, which strategy is based on Energy Management System (EMS) and Dynamic Pricing (DP) is proposed in this paper. This strategy can achieve both economical operation of customers by EMS and maintenance of the supply demand balance by the indirect control of a power company using DP. The effectiveness of the coordinative control...
The integration of generation units into distribution networks has led to a definition for the rates associated with the injections of power, as traditional distribution networks only consider tariffs for energy consumption. Such rate definitions have considered several aspects of the problem (such as the cost of operating the distribution network, the nature of the injections and feed-in tariff),...
In a privacy-aware market a producer may satisfy the demand by end customers either by producing itself the items or by placing the items provided by privacy-aware suppliers at a reduced price. Price-aware suppliers provide a noisy information about their level of stock. Through an option contract the producer may protect itself against the risk of buying also the excess items delivered by privacy-aware...
In this paper, game design for demand response in smart grid from a control perspective is investigated. A pricing scheme is proposed to ensure the efficiency of the Nash equilibrium. The designed game is proven to be a state-based potential game and the stationary state Nash equilibrium is the social optimal solution. An adaptive penalty based pricing mechanism is proposed and adaptive control laws...
Demand side management has attracted a lot of attention as a method to regulate customer behavior and improve system reliability. In this paper, we solve the day-ahead energy pricing problem in the distribution electricity system by taking into account the fact that customers can change their consumption behavior in response to price changes. We propose two pricing models under two different scenarios...
This paper presents a Mean Field (MF) control approach for demand side management of large populations of flexible electric loads, such as electrical cooling/heating appliances, called Thermostatically Controlled Loads (TCLs). We model the switching dynamics of each individual TCL as the solution of a local optimization problem, characterized by individual cost function, comfort constraints, cooling/heating...
In recent years, our e-commerce industry has gained great support from national and local government. So our e-commerce industry's development prospects will be broader. Under the e-commerce environment, the competition towards online sellers has become more and more diverse and dynamic than the traditional competition game model. The rapid development of e-commerce makes more and more companies begin...
The paper describes three aspects of virtual market of electrical energy. Legislative base of alternative source using in energy-supply system including "green tariff" is presented. Calculation of economical parameters in order to estimate effectiveness of different alternative source is made. Technical solution for DC, AC, and hybrid energy transmission schemes are developed.
This paper addresses a game-theoretic based distributed appliance scheduling approach for demand-side management in smart grid. The game is played by a utility company and its subscribed residential users. The company monitors electricity demand online, manipulates the price of electricity for different hours to shape users' consumption pattern, and advertises it through Smart Grid infrastructure...
This paper studies the company and the farmers how to make their optimal production and purchases decision in private under the random output and random market demand, studying the optimal results under optimal decision with mutual consideration of the parties in the case of independence. But for companies, only these coordinate farmers' production is not able to fully meet the company's needs, so...
The notable features of guarantee program differing from traditional project are high degree of information asymmetry and risk uncertainty. The evaluation for credit insurance risk is the key to insurance organization. In this paper, limitations of the traditional NPV evaluation method are proposed. A credit risk pricing model of the guarantee project is put forward based on the real options, which...
In this paper, we investigate optimal management of local energy trading in future smart micro-grid (SMG) via pricing. In SMG, energy consumers and providers, in addition to trading with utility company, can also perform local energy trading controlled by a local trading manager (LTM) for reaping benefits. We first quantify the benefits achieved by the consumers and providers from local trading and...
During peak energy demand periods, demand response programs offer incentives to consumers who are willing to shift some of their energy consumption into later hours. In price-based demand response programs, energy pricing is considered an effective control signal for utility companies to reschedule electricity demand during peak hours. In this paper, a real-time closed-loop residential electricity...
The price based energy consumption control is one of the key approaches for demand side management in smart grids. In this paper, the problem of load control is studied by proposing different pricing strategies from Distribution Company to the users including monthly, daily and hourly price tariffs. The users should decide on their consumption quantity and then time based on pricing strategy of the...
In this work, a real time Home Power Resource Management system is presented. This system includes grid with time-of-use pricing, photovoltaic panels and storage battery as power resources, and uses a main controller and the developed rule based algorithm to manage these resources for reducing the electricity cost and avoiding high peak demand simultaneously. In the prescribed time intervals, the...
In this paper, we investigate a novel real-time pricing scheme, which considers both renewable energy resources and traditional power resources, and can effectively guide the participants to achieve individual welfare maximization. Particularly, we develop a Lagrangian- based approach that transforms the global optimization conducted by the power company to distributed optimization problems. We show...
Cloud computing or Infrastructure as a Service(IaaS) solutions such as Amazon's Elastic Computing Cloud(EC2) are very attractive for many commercial enterprises especially in today's limited or shrinking IT budgets environments. Cloud computing has been considered as a newest delivery model of enterprise's IT gradually. This paper is aimed at helping companies analyze several characteristics of multi-instance...
In recent years, the sustainable development of China's B2B E-commerce has promoted the trade of steel, coal and other commodities, and brought new opportunities and a comprehensive upgrade for the industrial chain where both upstream enterprises and downstream enterprises in, and also attracted a large number of enterprises to join in. Among them, due to their own advantage, the large enterprises...
Cloud computing provides a means for developing economies to improve their global competitiveness. This is because it is a combination of infrastructure, technology innovation and technology readiness. Private organisations in the developing economy of context, believe there is a sizeable market to be served. The key challenge is to do this effectively at a price that is not only affordable but economically...
Economic globalization has intensified the transactions among companies' cross-regional affiliated parties. More and more enterprises manipulate profit to obtain the tax benefits through transfer pricing. At the same time. intangible assets are becoming the main driving factors for enterprises' value creation. It has become a trend that lots of companies are transferring profit or implementing other...
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.