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Xixia Reservoir Light-Water-Storage Micro Grid Scheduling

Posted on:2017-03-07Degree:MasterType:Thesis
Country:ChinaCandidate:M C LiFull Text:PDF
GTID:2322330488977987Subject:Power electronics and electric drive
Abstract/Summary:PDF Full Text Request
For in Xixia Reservoir in annual operating cycle, less dry season runoff.The runoff can not meet the multi-objective reservoir such as irrigation, drinking, power generation and other tasks. In reality there are a lot of wet water flow abandoned, resulting in substantial waste of hydro power, proposed to build Xixia Reservoir micro-grid power systems, construction of pumped storage power station.The conclusions show that: data validation through simulation, of being able to solve the energy imbalance of power generation energy storage solutions for the river micro-grid construction Xia Reservoir provides practical recommendations. Specific work summarized as follows:1, As part of a micro-grid power generation system- photovoltaic power generation, first study analyzed the impact factor of photovoltaic power generation, GRNN and BP neural network theory are introduced. The use of production data and meteorological data given construct BP neural network prediction and GRNN PV model, simulation results show good prediction, GRNN neural network can more effectively adapt to changing weather and climate prediction effect is better;2, The main factors affecting hydroelectric reservoir runoff is the size of annual runoff by the reservoir area of climate factors, rainfall greater the larger diameter flow, so the more hydro power can be issued, so according to the Nanchang 50 years of meteorological data, this paper has studed the rainfall law, and further study of the month Jiujiang City Dongjin Reservoir rainfall patterns, found that for heavy rain and other terms of rainfall, according to BP and GRNN neural network, and according to forecast rainfall runoff that feasible way to predict the result is not very good, but also has practical reference value, and less rainfall forecast for rain runoff. There is considerable error, even two kinds of neural network model can not be established, probably due to the amount of rain too less difficult to form a large scale runoff;3, The use of existing data Xixia Reservoir, combined with changes of rural electricity month Xinjian county, as well as a combination of a residential load electricity law Nanjing, analysis to estimate the direct power supply 545 people of Xixia Reservoir Area annual electricity consumption annual electricity law, as well as using two neural network analysis prediction model in the wind, minimum / maximum temperature and other weather factors for the input,and then to predict the output load;4, Xixia Reservoir Based on available information, step by step analysis of water the size of Xixia Reservoir, the annual generating capacity of small hydropower, the annual power generation time, as well as the possible location of the reservoir, the reservoir gradually determine the optimal location, Xixia reservoir District micro-grid system the optimal storage system, optimal operation and management mode, put forward during the Dry season, the concept of energy peak energy, the presentation of the energy scheduling management concepts, analysis and calculation results show that the use of science building pumped storage reservoirs, effective the annual adjustment and management of energy, it is possible in flood control, irrigation, drinking premise of the Xixia Reservoir, effectively carry out the annual load to meet the region's electricity production plan.
Keywords/Search Tags:Xixia Reservoir, hydroelectric, micro-grid, photovoltaic, energy load, forecasting energy, dry season, Energy season, Pumped Storage, Power Station
PDF Full Text Request
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