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An Optimization Control Strategy Of Energy Storage System In Wind And Photovoltaic Combined Power Generation System

Posted on:2016-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y F LiuFull Text:PDF
GTID:2272330467979145Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Due to the instability and randomness of wind power and solar power, the output power of wind power generation and solar photovoltaic power generation has volatility, instability and so on characteristics. So it has the lower schedulable than the traditional energy generation. In order to solve the wind power and photovoltaic power generation output power can not be dispatch problems, application of electrical energy storage system to make up for the wind power and photovoltaic power generation output instability defects. This paper mainly applied the energy storage system to stabilize fluctuations of the output power of wind power and photovoltaic power and to achieve real-time tracking power generation scheme of power stations, wind power, photovoltaic and the energy storage systems constituting the combined power generation power stations.In the application of the energy storage system to stabilize the output of wind power and photovoltaic power fluctuation control strategy, according to the large fluctuations of the output power of wind and solar power, taking into account the optimal operation of the energy storage system. An optimization control method based on the balance of state of energy of energy storage system to smooth fluctuation of the output power of wind and solar power was posed This method uses the PSO algorithm to seek the optimal smoothing time constant, which satisfy the requirement of volatility and accumulating energy of charging or discharging of the energy storage system can minimize on the15min time scale. In order to make the cumulative power through charging and discharging during one day come to zero and the battery’s SOE come to the original operating point, we need to control the energy storage system charging/discharging in the periods of peak/trough. Simulation studies demonstrate that, this method not only meet the requirements of scheduling volatility to the station, also can effectively control the battery energy storage system’s SOE to be balanced, so could avoid the energy storage system working in a state of extreme overshoot discharge or charge.In the application of the energy storage system to achieve real-time tracking power generation scheme of power stations, wind power, photovoltaic and the energy storage systems constituting the combined power generation power stations control strategy, according to the power generation goal of the wind power, photovoltaic and storage power station in real-time tracking, the control strategy of storage system’s power generation will be researched. It based on the ultra-short term prediction of wind power and photovoltaic station’s output power in real-time. And it sets the generation goal of the storage system on the basis of difference between schedule and the output power wind station predicted. It can also modify the generation goal of storage system in real-time according to the constrains that may affect the storage system life of remaining capacity of storage system、depth charging and discharging and rated power and calculate the real-time power value of storage system. The paper introduces modified linearity extrapolation prediction method. It can smooth linearity extrapolation prediction output power using overlapping average method. This method has been proved feasibility by forecasting results. This method can also improve the accuracy and qualification rate of short-term power forecasting a few days before of the output power of wind power and photovoltaic.
Keywords/Search Tags:Wind power and photovoltaic generation, fluctuation smoothing, tracking power stations schedule output, ultra-short term forecasting, battery energystorage, the balance of state of energy (SOE)
PDF Full Text Request
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