Research on Power System Operation Simulation Model Considering Energy Storage and New Energy Generation
At present, most stochastic production simulation algorithms can not consider large-scale new energy, and there are many deficiencies in the stochastic production simulation algorithm including wind farm and photovoltaic power station. Based on the actual operation data of wind farm and photovoltaic...
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Published in: | 2020 10th International Conference on Power and Energy Systems (ICPES) pp. 129 - 133 |
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Main Authors: | , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
25-12-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | At present, most stochastic production simulation algorithms can not consider large-scale new energy, and there are many deficiencies in the stochastic production simulation algorithm including wind farm and photovoltaic power station. Based on the actual operation data of wind farm and photovoltaic power station, this paper analyzes the power generation characteristics of wind/photovoltaic power station from the Perspective of statistics. The extraction method of wind/photovoltaic power generation output scenario characteristic index, the principle and method of scenario screening and the evaluation index of confidence output capacity are proposed. On this basis, taking the lowest total generation cost or the best energy saving and emission reduction effect of power system as the optimization objective, a practical power system operation simulation model considering three different scenarios of power balance, electricity balance and peak shaving balance is established. The objective of the model is to minimize the total generation cost of the power system or to achieve the best effect of energy conservation and emission reduction. The simulation results show that the proposed system operation simulation model considering large-scale new energy can be effectively used for the research of wind power and photovoltaic power consumption capacity. |
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DOI: | 10.1109/ICPES51309.2020.9349668 |