Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables

Li, Jing; Ou, Na; Lin, Guang; Wei, Wei

doi:10.1109/tpwrs.2018.2874718

Cited by 26 publications

(16 citation statements)

References 38 publications

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“…However, [23] considers only constraints for the expected values of generated powers, and [24] does neither account for voltage magnitude constraints nor for line limits. Recently, PCE has been applied to the multi-period AC-OPF problem under uncertainty in [25]; a conic relaxation of the power flow equations is employed together with sparse regression to compute the PCE coefficients, based on the method from [23]. All works [23][24][25] lack a thorough probabilistic analysis of the satisfaction of the AC power flow equations, as well as a validation of the moments (mean and variance) of the power system state variables, such as line currents and bus voltages magnitudes.…”

Section: Introductionmentioning

confidence: 99%

Chance-Constrained AC Optimal Power Flow: A Polynomial Chaos Approach

Mühlpfordt

Roald

Hagenmeyer

et al. 2019

IEEE Trans. Power Syst.

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As the share of renewables in the grid increases, the operation of power systems becomes more challenging. The present paper proposes a method to formulate and solve chanceconstrained optimal power flow while explicitly considering the full nonlinear AC power flow equations and stochastic uncertainties. We use polynomial chaos expansion to model the effects of arbitrary uncertainties of finite variance, which enables to predict and optimize the system state for a range of operating conditions. We apply chance constraints to limit the probability of violations of inequality constraints. Our method incorporates a more detailed and a more flexible description of both the controllable variables and the resulting system state than previous methods. Two case studies highlight the efficacy of the method, with a focus on satisfaction of the AC power flow equations and on the accurate computation of moments of all random variables.

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Section: Introductionmentioning

confidence: 99%

Chance-Constrained AC Optimal Power Flow: A Polynomial Chaos Approach

Mühlpfordt

Roald

Hagenmeyer

et al. 2019

IEEE Trans. Power Syst.

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show abstract

“…Among all existing ESUs, there is a substantial interest in battery storage systems due to its fast ramping capabilities. [20][21][22][23]28 A flexible operation strategy with a two-step modelling framework is developed in Reference 29 to evaluate the potential benefits of batteries with RES. In the first step, the stochastic unit commitment model is formulated with day-ahead scheduling.…”

Section: Ed Problems Associated With Batteries and Evmentioning

confidence: 99%

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

et al. 2020

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The current era in sustainable development is focused on the rapid integration of renewable energy sources driven by a wide range of socioeconomic objectives. Due to the inherent property of time-varying weather conditions, the intermittent sources, that is, Solar PV and Wind Energy, are considered as variable energy resources. The uncertainty and variability problem of these sources has brought many complications to distributed network operators to operate and control the complex or multi-microgrids with limited fast-ramping resources in order to maintain the power system flexibility. It led many researchers to find an alternative strategy since the conventional approaches are no longer adequate to handle the economic implications of operational decision making. At first, the brief review of various deterministic and probabilistic approaches, stochastic programming and robust optimisation strategies to address the uncertainty of variable energy resources are discussed. Furthermore, in the energy management point of view, the optimal scheduling problem of distributed sources of the microgrid is considered, and a brief review of optimisation models, advanced control strategies and demand response strategies to maximise economic benefits of microgrids are also elaborately presented. Finally, the multiagent-based distributed and decentralised control strategies for seamless integration of distributed generator units are reviewed under various configurations of the power grid along with communication network topologies.

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“…The results of these tests indicate that a reasonable threshold on the violation of security checking subproblems would guarantee good enough solutions from an engineering point of view, although the modified Benders decomposition does not provide the tightest lower bound and may not guarantee the global optimality. An OS in [26] minimizes the distribution system (DS) operation costs while coping with high-dimensional uncertainty in a DS with high penetration of RESs. The basic method of PS operation cost reduction is a minimization of active power losses.…”

Section: Ps Oss Minimizing the Price Of Electricity/ps Oss Reducing Pmentioning

confidence: 99%

Review of Trends and Targets of Complex Systems for Power System Optimization

Vysocky

Mišák

2020

Energies

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Optimization systems (OSs) allow operators of electrical power systems (PS) to optimally operate PSs and to also create optimal PS development plans. The inclusion of OSs in the PS is a big trend nowadays, and the demand for PS optimization tools and PS-OSs experts is growing. The aim of this review is to define the current dynamics and trends in PS optimization research and to present several papers that clearly and comprehensively describe PS OSs with characteristics corresponding to the identified current main trends in this research area. The current dynamics and trends of the research area were defined on the basis of the results of an analysis of the database of 255 PS-OS-presenting papers published from December 2015 to July 2019. Eleven main characteristics of the current PS OSs were identified. The results of the statistical analyses give four characteristics of PS OSs which are currently the most frequently presented in research papers: OSs for minimizing the price of electricity/OSs reducing PS operation costs, OSs for optimizing the operation of renewable energy sources, OSs for regulating the power consumption during the optimization process, and OSs for regulating the energy storage systems operation during the optimization process. Finally, individual identified characteristics of the current PS OSs are briefly described. In the analysis, all PS OSs presented in the observed time period were analyzed regardless of the part of the PS for which the operation was optimized by the PS OS, the voltage level of the optimized PS part, or the optimization goal of the PS OS.

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Compressive Sensing Based Stochastic Economic Dispatch With High Penetration Renewables

Cited by 26 publications

References 38 publications

Chance-Constrained AC Optimal Power Flow: A Polynomial Chaos Approach

Chance-Constrained AC Optimal Power Flow: A Polynomial Chaos Approach

Recent trends in power management strategies for optimal operation of distributed energy resources in microgrids: A comprehensive review

Review of Trends and Targets of Complex Systems for Power System Optimization

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