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- W4225528716 abstract "In recent years, high proportion of renewable energy has been connected to the power grid, but the uncertainty of their output will inevitably bring serious impact to the efficient, stable and safe operation of power grid. So as to stabilize the volatility and ease the peak shaving pressure faced by thermal power units, this paper proposes wind power, photovoltaic, thermal power and energy storage complementary power generation, and integrates wind power, photovoltaic power, thermal power plants and energy storage power plants into virtual power plant(VPP) to participate in grid dispatching, then builds a multi-objective optimal dispatching model of wind-photoelectric-thermal power-pumped storage VPP, taking the lowest operating cost of system and minimum standard deviation of the output of thermal power units as optimization goal, using NSGA-II algorithm to optimize the solution, through the simulation analysis of four typical days in different seasons, it shows that the multi-objective optimal scheduling model of VPP established in this paper can make the power grid absorb a great amount of renewable energy and stabilize the output fluctuation of thermal power units, achieve the best economy of VPP, and ensure the economic and stable operation of VPP." @default.
- W4225528716 created "2022-05-05" @default.
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- W4225528716 date "2021-12-23" @default.
- W4225528716 modified "2023-09-27" @default.
- W4225528716 title "Multi-objective optimal dispatching of wind-photoelectric-thermal power-pumped storage virtual power plant" @default.
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- W4225528716 doi "https://doi.org/10.1109/ispec53008.2021.9735934" @default.
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