Management Strategy for Market Participation of Photovoltaic Power Plants Including Storage Systems

Contrasta, Andoni de Ibarra Martinez de Saez; Herrera, V.; Milo, A.; Gaztañaga, Haizea; Etxeberria-Otadui, I.; Bacha, Seddik

doi:10.1109/tia.2016.2585090

Cited by 41 publications

(23 citation statements)

References 24 publications

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“…From (13), the key to minimize the expected sum of operation cost over the optimization horizon is to find the optimal decision policy .…”

Section: B Objective Functionmentioning

confidence: 99%

“…The day-ahead scheduling and intra-day optimization for optimal operation are usually executed by the energy management system (EMS) in the microgrid [5], [11], [13]. To obtain an optimal day-ahead scheduling, the EMS prefers the day ahead forecast information to be as accurate as possible.…”

Section: Introductionmentioning

confidence: 99%

“…To obtain an optimal day-ahead scheduling, the EMS prefers the day ahead forecast information to be as accurate as possible. In the intra-day operation, the latest forecast for the next few hours will be updated, and hence the day-ahead scheduling is adjusted accordingly [11], [13]. However, the empirical knowledge embedded in the historical forecast data of the system haven't been adequately used in these work.…”

Section: Introductionmentioning

confidence: 99%

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Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

Shuai

Fang

et al. 2019

IEEE Trans. Smart Grid

237

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This paper proposes an approximate dynamic programming (ADP) based approach for the economic dispatch (ED) of microgrid with distributed generations (DGs). The timevariant renewable generation, electricity price and the power demand are considered as stochastic variables in this work. An ADP based ED (ADPED) algorithm is proposed to optimally operate the microgrid under these uncertainties. To deal with the uncertainties, Monte Carlo (MC) method is adopted to sample the training scenarios to give empirical knowledge to ADPED. The piecewise linear function (PLF) approximation with improved slope updating strategy is employed for the proposed method. With sufficient information extracted from these scenarios and embedded in the PLF function, the proposed ADPED algorithm can not only be used in day-ahead scheduling but also the intraday optimization process. The algorithm can make full use of historical prediction error distribution to reduce the influence of inaccurate forecast on the system operation. Numerical simulations demonstrate the effectiveness of the proposed approach. The near-optimal decision obtained by ADPED is very close to the global optimality. And it can be adaptive to both day-ahead and intra-day operation under uncertainty.

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“…From (13), the key to minimize the expected sum of operation cost over the optimization horizon is to find the optimal decision policy .…”

Section: B Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

Shuai

Fang

et al. 2019

IEEE Trans. Smart Grid

237

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“…Based on various works [21][22][23][24][25][26][27][28], the most important characteristics of PV systems and related grid codes are:…”

Section: Characteristics Of Grid-connected Pv Systemsmentioning

confidence: 99%

“…Numerous MPPT algorithms are explained and discussed in [16][17][18][19] focusing on duty cycle control in DC/DC inverters. The main methodologies used for MPPT are: the open circuit voltage approach, constant voltage (CV), incremental conductance (IC) method, ripple-based method and the perturb and observe (called P&O) technique [20][21][22][23] and [25,26]. These MPPT techniques differ from each other in several aspects such as simplicity, required measurements, convergence speed, effectiveness, cost and parameterization.…”

Section: Modeling and Control Of Large-scale Pv Plantmentioning

confidence: 99%

Integration of Large Scale PV-Based Generation into Power Systems: A Survey

et al. 2019

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This paper reports a general overview of current research on analysis and control of the power grid with grid scale PV-based power generations as well as of various consequences of grid scale integration of PV generation units into the power systems. Moreover, the history of PV renewable growth, deregulation of power system and issues related to grid-connected PV systems considering its contribution to various responsibilities like frequency control, virtual inertia capabilities and voltage regulation are discussed. Moreover, various outcomes of the high-penetrated grid with PV power plants such as power quality, active and reactive power control, protection, balancing and reliability under various loading conditions are reviewed and discussed.

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A Survey of Energy Management Systems Considering Battery State of Health Preservation in Microgrid Applications

Piazza¹,

Luna²,

Tona³

2023

Lecture Notes in Electrical Engineering

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Management Strategy for Market Participation of Photovoltaic Power Plants Including Storage Systems

Abstract: International audiencedoi: 10.1109/TIA.2016.258509

Cited by 41 publications

References 24 publications

Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming

Integration of Large Scale PV-Based Generation into Power Systems: A Survey

A Survey of Energy Management Systems Considering Battery State of Health Preservation in Microgrid Applications

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