Risk assessment by security‐constrained unit commitment for hybrid wind‐thermal by pair copula approach in reserve power market: a stochastic approach

Panda, Rajendran; Tiwari, Prashant

doi:10.1049/iet-gtd.2020.1128

Cited by 4 publications

(2 citation statements)

References 39 publications

(59 reference statements)

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“…Taking full account of the dispatching risk, a reasonable dispatching strategy is a key to coordinate the various kinds of power sources well. Reference [34] defines the degree of reserve tension caused by wind power stochastic scenarios and establishes a multi-objective optimal scheduling model considering the impact of wind power uncertainty on system reserve risk. Based on the method of scenario analysis, reference [35] established a quantitative analysis model for economic allocation of rotating reserve and non-rotating reserve, which comprehensively considered the loss of abandoned wind and loss of load.…”

Section: Overview Of Wind Power Fluctuation and Uncertainty Modeling Based On Scenario Analysis Methodsmentioning

confidence: 99%

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Qian¹,

Chen²,

Chen

et al. 2021

Energies

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Typhoons and other natural disasters affect the normal operation of power systems thus it is an important goal for strong and intelligent power grid construction to improve the ability of power systems to resist typhoons and other natural disasters. Especially, an effective coordinated and optimized dispatching strategy for a multi-source power system is greatly helpful to cope with the impact of typhoons and other natural disasters on power system operation. Given this background, a typhoon wind circle model considering the temporal and spatial distribution of typhoons is established to obtain the input wind speed of the wind farm at first. Second, based on the initial input wind speed of wind farms, a typical scenario set of wind power output is constructed to reflect its fluctuation and uncertainty. Next, an optimal coordinated dispatching model of a multi-source power system with wind, hydro and thermal power based on the conditional value at risk (CVaR) is established with the target of minimizing the total cost of system dispatching, in which a 72 h pre-dispatching mode is studied to optimize the system operation for 72 h on the day before, on and after the typhoon. Finally, a revised 24-node transmission network system in a coastal area with typhoon is served as a case for demonstrating the effectiveness of the proposed model, and the simulation result shows that the proposed model could take the advantages of the coordination and complementarity of multi-sources power system and decrease the total cost of system dispatching and improve the renewable energy consumption level.

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Section: Overview Of Wind Power Fluctuation and Uncertainty Modeling Based On Scenario Analysis Methodsmentioning

confidence: 99%

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Qian¹,

Chen²,

Chen

et al. 2021

Energies

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“…The formulation of the UC problem finds a solution to the uncertainties represented by the series of scenarios. 18 Among the scenarios, worst-case scenarios are considered to improve the computational time and decision-making in robust UC problems. The worst-case scenarios of demand response and wind generation are considered for multistage UC problems.…”

Section: Introductionmentioning

confidence: 99%

Optimal power allocation of battery energy storage system (BESS) using dense LSTM in active distribution network

Pattanaik,

Sahoo,

Panda

et al. 2023

Energy Storage

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Forecasting of renewable energy plays a major role in deregulated power systems. The rapid change in climatic conditions poses many challenges in recent years throughout the globe to policymakers and due to this, the forecasting of solar energy has become quite difficult to forecast with conventional forecasting methods. As compared to conventional methods, machine learning algorithms have shown better accuracy due to their learning methods with uncertain parameters. The market participants such as solar photovoltaic (SPV), battery energy storage system (BESS), and thermal units undergo challenges with the optimal dispatch strategy under such uncertainties of renewable energy. In addition to the concerned integrated system, other uncertainties affect the optimal operation of the integrated system and these are line contingencies and SPV. In this paper, we have used supervised learning methods such as multilayer perceptron (MLP), recurrent neural network (RNN), and long short‐term memory (LSTM) to forecast the hourly SPV in the day‐ahead market. Among the three methods of machine learning, results show LSTM with dense has been a better forecasting method with high accuracy obtained. The role of BESS in the optimal operation of day‐ahead hourly forecasted SPV along with the hourly thermal unit dispatch in DC optimal power flow (OPF) has been investigated in the paper. The main objective of the paper is to optimally allocate the BESS in the SPV‐BESS‐Thermal unit integrated system forming an active distribution network (ADN) to minimize the operating cost under different uncertainties such as line contingencies and SPV. The hourly dispatch of thermal units, BESS, and forecasted SPV is obtained for the short‐term market. The proposed approach is validated by a modified IEEE 33 bus system and solved by mixed integer linear programming (MILP).

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Balanced Standalone Clustering Unit Commitment Solution for Smart Grid Using Probability Algorithms

Ramasamy¹,

Moses²,

Manoharan³

et al. 2022

Energy Sources, Part A: Recovery, Utilization, and Environmenta

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Risk assessment by security‐constrained unit commitment for hybrid wind‐thermal by pair copula approach in reserve power market: a stochastic approach

Cited by 4 publications

References 39 publications

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Optimal Coordinated Dispatching Strategy of Multi-Sources Power System with Wind, Hydro and Thermal Power Based on CVaR in Typhoon Environment

Optimal power allocation of battery energy storage system (BESS) using dense LSTM in active distribution network

Balanced Standalone Clustering Unit Commitment Solution for Smart Grid Using Probability Algorithms

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