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With more wind power permeating into the power grid, one of the issues caused by its random output is the fluctuation of locational marginal price (LMP) which is also affected by the fluctuation of system load. However, the fluctuation of electricity price will affect many aspects of the national economy. In order to cope with this issue, a demand response (DR) allocation mechanism is presented in...
In the restructured power industry, demand responsiveness is a key factor whose importance will be boosted due to the impetus provided by the development of smart grids. Within the context of pool-based electricity markets, this paper addresses the incorporation of price-responsive demand in multiperiod energy scheduling driven by consumer payment minimization. Although consumer payment minimization...
Due to the low-cost and low-pollution property, distributed wind generators and electric vehicles (EVs) are becoming important supply and load types in the microgrid. However, it is still a challenge to integrate large amounts of wind power and EVs into the microgrid because of their nature of uncertainty. As the prediction accuracy of the wind power and EV parking events depends on the timescale,...
The smart grid initiative and the market operations drive into the new concept of control able loads. This particular Paper presents a smart scheduling device of an air conditioner which demonstrates the general architecture along with practical implementation of the hardware that could be use to schedule the air condition based on real time price and temperature in order to reduce the cost of electricity...
Renewable energy, such as wind power and solar energy, is becoming a major energy source. It is desirable to coordinate the uncertain supply and demand in the grid to make best use of the renewable energy and to ensure the stability of the grid. Electric vehicle (EV) is promising for its clean emission and elasticity of charging. However, the charging load of EVs is random by nature. In this paper,...
In enterprise microgrid such as steel plants, the self-generating output is not equal to the electricity load because of the electricity load uncertainty and the self-generation power plant's limits. In order to decrease the unbalance punishment cost caused by the non-equality, electricity self-balancing multi-levels model in which load uncertainty is described by a certain interval and the objective...
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...
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