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.
Residential load scheduling is of great significance for the building energy saving. But it is difficult for current methods to discover and consider the relationship between the various comfort requirements and uncertain load demand of customers. In this paper, a new method for the residential load scheduling based on load behavior analysis is proposed to reduce the electrical cost while considering...
With the development of wind power, how to use wind power fully has become an important research. In this paper, wind power accommodation robust model with security constraints considering demand response is built to accommodate wind power as much as possible. The robust model is a two-level optimal model: the upper level is to minimize the curtailed wind power and the lower level is to re-schedule...
This paper focuses on an internal pricing mechanism that enables the energy management sector of an industrial enterprise to offer internal price signals to guide the power consumption of units, thereby reducing the total electricity cost of the enterprise by encouraging units to save their internal electricity fees. The proposed mechanism allows the energy management to control the loads through...
It is important for both energy intensive enterprises (EIEs) and the utilities to analyze the electrical load tracking capacity of EIEs, so as to utilize resources in EIEs, and promote the participation of EIEs in Demand Response (DR) programs. An electrical load tracking problem integrating power generations self-scheduling (PGSS) and flexible load adjustment (FLA) is introduced. The relationships...
In energy intensive enterprises (EIE) with self generation power plant, real time electricity cost is affected by dynamic change of its power consumption and generation. Centralized power demand control is usually hard to be used in EIE due to complex constraints of production process. A rational price signal which is able to lead end users to reduce power during peak hours or shift load from peak...
Conventional Optimal Power Flow (OPF) minimizes line loss snapshot by controlling generation output and transformer tap position. Distributed energy storage system (DESS) that locates close to load can provide more flexible and effective control to reduce overall line loss. A dynamic optimal power flow (DOPF) method considering energy storage units is adopted to model and analyze line loss reduction...
Demand response behaviors of retailers are very important for dynamic pricing mechanism design and analysis. This paper presents a multi-agent system to simulate the household response to dynamic pricing. In each household, the best activities under real time pricing for every major electricity devices with their own characteristics and flexibilities are formulated as mixed integrated linear programming...
Electricity consumption forecast is very important for both suppliers and large consumers. The electricity consumption of a large enterprise is different from the regional grid, especially for an energy intensive enterprise (EIE). This paper investigates the daily electricity consumption forecast of an EIE by the operating condition. By observation, the electricity consumption is related to maintenance...
In the smart grid environment, appropriate power energy exchange strategies will be necessary for energy intensive industries (EIIs) with industrial power plants. This paper presents a systematic approach that can cope with the integration of industry consumers and an energy exchange strategy aiming at achieving balance between power production and consumption in EIIs. A basic balance model using...
As one of the most important parts in power system, electricity price forecasting has been a crucial factor for the generation companies' (Genco) bidding strategies, through which Gencos can maximize their potential benefits. However, high income is always coupled with high risk, as electricity volatility, demand uncertainty, and bidding strategies of rivals. In this paper, a bidding strategy based...
With the process of electricity market-oriented, taking advantage of the capability of electricity generation of autonomous power plant, large-scale power consuming corporation can decrease electricity expenses and boost competence of the corporation. However, forecasting accuracy of load is low due to private characteristics of large-scale power consuming corporation, it is difficult to satisfy the...
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.