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Automated Two-stage Conversion of Hourly Optimal DC flow Solution to ac power flow

CSEE Journal of power and Energy Systems 2023年第1期9卷 28-36页

作者： Adedasola A.Ademola Shutang You Yilu Liu Bredesen Centre and Centre of Ultra-Wide Area Resilient Electrical Energy Transmission NetworksUniversity of TennesseeKnoxvilleTN 37996 USA Centre of Ultra-Wide Area Resilient Electrical Energy Transmission Networks University of TennesseeKnoxvilleTN 37996 USA

Conversion of hourly dispatch cases derived using DC optimal power flow(DCOPF)to ac power flow(acPF)case is often challenging and requires arduous human analysis and intervention.This paper proposes an automated two-stage approach to solve acPF formulated from DCOPF dispatch cases.The first stage involved the use of the conventional Newton Raphson method to solve the acPF from flat start,then acPF cases that are unsolvable in the first stage are subjected to a hotstarting incremental method,based on homotopy continuation,in the second stage.Critical tasks such as the addition of reactive power compensation and tuning of voltage setpoints that typically require human intervention were automated using a criteriabased selection method and optimal power flow respectively.Two datasets with hourly dispatches for the 243-bus reduced WECC system were used to test the proposed method.The algorithm was able to convert 100%of the first set of dispatch cases to solved acPF cases.In the second dataset with suspect dispatch cases to represent an extreme conversion scenario,the algorithm created solved acPF cases that satisfied a defined success criterion for 77.8%of the dispatch cases.The average run time for the hotstarting algorithm to create a solved acPF case for a dispatch was less than 1 minute for the reduced WECC system.

关键词： ac power flow DC power flow hot-starting algorithm homotopy continuation power flow convergence reactive power compensation voltage setpoint tuning

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A Comprehensive Review of Security-constrained Unit Commitment

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Journal of Modern power Systems and Clean Energy 2022年第3期10卷 562-576页

作者： Nan Yang Zhenqiang Dong Lei Wu Lei Zhang Xun Shen Daojun Chen Binxin Zhu Yikui Liu IEEE Hubei Provincial Engineering Research Center of Intelligent Energy Technology China Three Gorges UniversityYichang 443002China Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA Department of Mechanical Systems Engineering Tokyo University of Agriculture and TechnologyTokyo 184-8588Japan Electric power Research Institute State Grid Hunan Electric Power Company LimitedChangsha 410007China

Security-constrained unit commitment(SCUC)has been extensively studied as a key decision-making tool to determine optimal power generation schedules in the operation of electricity market.With the development of emerging power grids,fruitful research results on SCUC have been obtained.Therefore,it is essential to review current work and propose future directions for SCUC to meet the needs of developing power systems.In this paper,the basic mathematical model of the standard SCUC is summarized,and the characteristics and application scopes of common solution algorithms are presented.Customized models focusing on diverse mathematical properties are then categorized and the corresponding solving methodologies are discussed.Finally,research trends in the field are prospected based on a summary of the state-of-the-art and latest studies.It is hoped that this paper can be a useful reference to support theoretical research and practical applications of SCUC in the future.

关键词： Security-constrained unit commitment electricity market accurate model ac power flow data-driven

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Day-ahead Risk-constrained Stochastic Scheduling of Multi-energy System

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Journal of Modern power Systems and Clean Energy 2021年第4期9卷 720-733页

作者： Yue Yin Tianqi Liu Lei Wu Chuan He Yikui Liu Department of Electrical Engineering Sichuan UniversityChengdu 610065China Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA

As an increasing penetration of renewable energy sources can potentially impact voltage profile and compromise system security,the security continues to be the most critical concern in power system operations.A risk-constrained stochastic scheduling model is proposed to leverage the latent scheduling capacity of a multi-energy system to seek an economic operation solution while maintaining system operation risk level against uncertain renewable generation.Overvoltage risk constraints,as compared to the straightforward voltage boundary limits,are incorporated into the stochastic scheduling model to guarantee the operation security and economics.Linearized ac power flow model is applied to enable overvoltage risk assessment within the coordinated scheduling model.The proposed stochastic scheduling model is tackled via the improved progressive hedging approach with an enhanced relax-round-polish process,which overcomes the convergence issues of the traditional progressive hedging in handling nonconvex stochastic scheduling model with binary variables on both stages.Numerical simulation results of IEEE 30-bus system and IEEE 118-bus system illustrate the efficacy of the proposed model in ensuring voltage security and improving economic operation of systems.

关键词： ac power flow overvoltage risk constraint renewable energy multi-energy coordination

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