KEYWORDS: Power grids, Power consumption, Batteries, Mathematical optimization, Wind energy, Superposition, Monte Carlo methods, Data modeling, Vacuum chambers, Renewable energy
As a flexible demand-side response resource, the charge and discharge of electric vehicles can be reasonably and orderly controlled through the demand response strategy, so as to improve the two-way interaction between electric vehicles and the smart grid and ensure the safe and stable operation of the power grid. This paper analyzes the participation of electric vehicles in Yunnan electric demand side response application scenarios, the study of electric vehicles in public charging stations, community charging stations and under three different charging places, participate in the demand side response, including the choice of different participation strategy, cost benefit analysis, etc., and gets different application scenarios for the most appropriate electric car participation strategy.
KEYWORDS: Error analysis, Data modeling, Statistical analysis, Process modeling, Neural networks, Analytical research, Lithium, Wavelets, Time series analysis, Stars
Inflow is an important factor affecting the accuracy of power generation dispatching of hydropower stations. Due to the randomness of Inflow, there are usually deviations in the runoff prediction of hydropower stations, especially for hydropower stations in large watersheds, the deviation of runoff prediction may greatly affect power generation dispatching. In this paper, a deviation analysis method of runoff prediction of hydropower stations in large watershed under the condition of random inflow is proposed. The ARIMA model in the time series analysis method is used for runoff prediction, and then the error distribution law between the prediction results and the actual results is analyzed by copula function, and the error distribution of annual and monthly runoff prediction and power generation capacity prediction of cascade hydropower stations is analyzed. Taking Xiluodu, Xiaowan and Nuozhadu hydropower stations as examples, the annual runoff prediction and error distribution law are analyzed, which can accurately identify the range of deviation.
Under the condition of power market, how to coordinate the medium and long-term trading plan with the power generation dispatching is a new problem. Considering the medium and long-term trading electricity, this paper proposes a daily generation planning method based on standard load curve. The power plants are divided into priority power plants with balanced provincial regulation, market-oriented power plants without regulation capacity and marketoriented power plants with regulation capacity; The first type of power plant curve adopts the predicted value, the second type of power plant determines the power generation curve according to the unit of different standards in the flood and dry seasons, and obtains the standard load curve from the load curve of the whole network, and the third type of power plant adopts the standard load curve to determine the power generation curve. The results show that this method can effectively connect the medium and long-term trading electricity with the daily power generation plan.
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