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Stochastic Energy management of microgrid with Nodal Pricing

Journal of modern Power Systems and Clean Energy 2020年第1期8卷 102-110页

作者： Dhanapala Prudhviraj P.B.S.Kiran Naran M.Pindoriya IEEE Department of Electrical Engineering Indian Institute of Technology GandhinagarPalaj 382355GandhinagarIndia

This paper develops a stochastic framework for the energy management of a microgrid to minimize the energy cost from the grid.It considers the uncertainties in solar photovoltaic(PV)generation,load demand,and electricity price.Furthermore,the opportunity of flexible load demand,i.e.,the effect of demand response(DR),on the test system is studied.The uncertainties are modeled by using monte Carlo simulations and the generated scenarios are reduced to improve the computational tractability.In general,microgrid scheduling is implemented by using substation(source node)price as a reference,but that reference price is not the same at all nodes.Therefore,this paper develops the nodal price based energy management in a microgrid to improve the scheduling accuracy.The stochastic energy management framework is formulated as a mixed integer non-linear programming(mINLP).Four case studies are simulated for a modified 15-node radial distribution network integrated with solar PV and battery energy storage system(BESS)to validate the effectiveness of the energy management framework for a microgrid with nodal pricing.

关键词： Battery energy storage system(BESS) demand response(DR) distributed generation microgrid mixed integer non-linear programming(mINLP) scheduling stochastic optimization

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Case-specificity and Its Implications in Distribution Network Analysis with Increasing Penetration of Photovoltaic Generation

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CSEE Journal of Power and Energy Systems 2017年第1期3卷 101-113页

作者： Kalpesh A.Joshi Naran M.Pindoriya Indian Institute of Technology Gandhinagar GujaratIndia

Distribution system analysis(DSA)currently faces several challenges due to inclusion of distributed energy resources(DERs),which have many characteristics,such as inherent variability,uncertainty,possibility of flexible four quadrant converter operations with distributed generation(DG),and the need for efficient operations to improve reliability of the supply system.This article argues for a high degree of case-specificity and discusses its implications in distribution networks with increasing DG penetration.The research is based on the exhaustive yearly simulation analyses of 132 candidate scenarios and investigates the effects of feeder-specific factors,such as geo-electric size and feeder spread,load density,and phase unbalancing.Nineteen(19)feeder variants—with phase-domain detailed modeling of all feeder components,including DGs,are subjected to increasing penetration of photovoltaic generation without altering the type and location of DGs.The objective is to analyze the role of feederspecific factors on feeder response characteristics in terms of annualized operational parameters,such as energy losses,feeder voltage profile,average power factor,and peak demand at a substation node,as well as tap-changer operations of voltage regulating equipment and their interaction with shunt compensation.Recorded annual load profiles—industrial,commercial,and residential—as well as location specific weather data are used to simulate the candidate scenarios based on three IEEE test feeders and one actual spot network in India.Results signify the consideration of feeder-specific factors in the planning exercise of grouping“similar”feeders for formulating the strategies that can improve daily operations of distribution feeders.The demonstrated case-specificity also implies that optimization algorithms for improved operations with DGs will need to be based on an integrated approach that accounts for feeder-specific factors as well as cyclic variability of DERs.

关键词： Case-specificity distribution system analysis distributed generation photovoltaic generation time-series power flow analysis unbalanced distribution networks

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