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Optimization of Distributed Solar Photovoltaic Power Generation in Day-ahead Electricity Market Incorporating Irradiance Uncertainty

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Journal of Modern Power Systems and Clean Energy 2021年第3期9卷 545-560页

作者： Anu Singla kanwardeep singh Vinod Kumar Yadav the Department of Electrical Engineering Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjabIndia the Department of Electrical Engineering Guru Nanak Dev Engineering CollegeLudhianaIndia(affiliated to I.K.Gujral Punjab Technical UniversityKapurthalaIndia) the Department of Electrical Engineering Delhi Technological UniversityDelhiIndia

This paper proposes a simple and practical approach to model the uncertainty of solar irradiance and determines the optimized day-ahead(DA)schedule of electricity *** problem formulation incorporates the power output of distributed solar photovoltaic generator(DSPVG)and forecasted load demands with a specified level of *** proposed approach determines the certainty levels of the random variables(solar irradiance and forecasted load demand)from their probability density function *** this process of optimization,the energy storage system(ESS)has also been mod-eled based on the fact that the energy stored during low locational marginal price(LMP)periods and dispatched during high LMP periods would strengthen the economy of DA *** objective of the formulated non-linear optimization problem is to maximize the social welfare of market participants,which incorporates the assured generation outputs of DSPVG,subject to real and reactive power balance and transmission capability constraints of the system and charging/dis-charging and energy storage constraints of *** simulation has been performed on the Indian utility 62-bus *** results are presented with a large number of cases to demonstrate the effectiveness of the proposed approach for the efficient,economic and reliable operation of DA electricity markets.

关键词： Electricity market energy storage market dispatching renewable energy social welfare solar photovoltaic power generator

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