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Optimal Intelligence Planning of Wind Power Plants and Power System Storage Devices in Power Station unit commitment Based

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Energy Engineering 2022年第5期119卷 2081-2104页

作者： Yuchen Hao Dawei Su Zhen Lei Control Center of State Grid of Jiangsu Electric Power Co. Ltd.Nanjing210000China

Renewable energy sources(RES)such as wind turbines(WT)and solar cells have attracted the attention of power system operators and users alike,thanks to their lack of environmental pollution,independence of fossil fuels,and meager marginal *** the introduction of RES,challenges have faced the unit commitment(UC)problem as a traditional power system optimization problem aiming to minimize total costs by optimally determining units’inputs and outputs,and specifying the optimal generation of each *** output power of RES such as WT and solar cells depends on natural factors such as wind speed and solar irradiation that are riddled with *** a result,the UC problem in the presence of RES faces *** grid consumed load is not always equal to and is randomly different from the predicted values,which also contributes to uncertainty in solving the aforementioned *** current study proposes a novel two-stage optimization model with load and wind farm power generation uncertainties for the security-constrained UC to overcome this *** new model is adopted to solve the wind-generated power uncertainty,and energy storage systems(ESSs)are included in the problem for further *** problem is written as an uncertain optimization model which are the stochastic nature with security-constrains which included undispatchable power resources and storage *** solve the UC programming model,a hybrid honey bee mating and bacterial foraging algorithm is employed to reduce problem complexity and achieve optimal results.

关键词： unit commitment security-constrained programming wind farms uncertainty honey bee mating algorithm bacterial foraging algorithm

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