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congestion management with demand response considering uncertainties of distributed generation outputs and market prices

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Journal of Modern Power Systems and Clean Energy 2017年第1期5卷 66-78页

作者： Linna NI Fushuan WEN Weijia LIU Jinling MENG Guoying LIN Sanlei DANG School of Electrical Engineering Zhejiang UniversityHangzhou 310027ZhejiangChina Department of Electrical and Electronic Engineering Universiti Teknologi BruneiBandar Seri Begawan BE1410Brunei Electric Power Research Institute of Guangdong Power Grid Co.Ltd. Guangzhou 510600GuangdongChina

In recent years,much attention has been devoted to the development and applications of smart grid technologies,with special emphasis on flexible resources such as distributed generations(DGs),energy storages,active loads,and electric vehicles(EVs).Demand response(DR) is expected to be an effective means for accommodating the integration of renewable energy generations and mitigating their power output *** their potential contributions to power system secure and economic operation,uncoordinated operations of these flexible resources may result in unexpected congestions in the distribution system *** addition,the behaviors and impacts of flexible resources are normally highly uncertain and complex in deregulated electricity market *** this context,this paper aims to propose a DR based congestion management strategy for smart distribution *** general framework and procedures for distribution congestion management is first presented.A bi-level optimization model for the day-ahead congestion management based on the proposed framework is ***,the robust optimization approach is introduced to alleviate negative impacts introduced by the uncertainties of DG power outputs and market *** economic efficiency and robustness of the proposed congestion management strategy is demonstrated by an actual 0.4 kV distribution system in Denmark.

关键词： Distribution system congestion management Demand response Load aggregators Uncertainty Robust optimization Bi-level linear programming

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Two-time-scale congestion management Scheme for Microgrid Integrated Distribution Networks

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CSEE Journal of Power and Energy Systems 2023年第4期9卷 1312-1325页

作者： Wei Zhang Yinliang Xu Chuheng Tang Smart Microgrid and Renewable Technology Research Laboratory Department of Electrical and Computer EngineeringLehigh UniversityBethlehemPAUSA

Microgrids(MGs)with high penetration of dis-tributed generators may cause congestion in the distribution net-work during *** address this issue,this paper proposes a two-time-scale congestion management scheme for multiple MGs integrated distribution ***-ahead hourly-scale dynamic congestion management(DCM)is formulated as a con-strained optimization problem,which can be solved by utilizing the proposed alternating iterative method,with the privacy of both the distribution network and MGs being *** sub-hourly-scale contract energy tracking aims at fully utilizing the controllable resources of the MGs to minimize the difference of the contract and actual exchanged energy between the MG and distribution *** coordination of the proposed two timescales of management schemes,the MGs integrated distribution networks can operate economically while avoiding the probable congestion predicament with high penetration of renewable *** studies with a i3-bus system MGs integrated distribution network demonstrated this proposed approach is effective to manage the congestion problem in the distribution network,while the energy tracking approach can improve the welfare of the MGs engaged in energy contracts ***-Alternating giterativemethod,congestion management,microgrids,renewable energy integration.

关键词： Alternatinggiterativemethod congestion management microgrids renewable energy integration.

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Simultaneous Employment of Generation Rescheduling and Incentive-based Demand Response Programs for congestion management in Case of Contingency

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Journal of Modern Power Systems and Clean Energy 2022年第4期10卷 902-912页

作者： Seyed Erfan Hosseini Alimorad Khajehzadeh Mahdiyeh Eslami Department of Electrical Engineering Kerman branchIslamic Azad UniversityKermanIran

Relieving congestion significantly influences the operation and security of the transmission ***,the congestion alleviation of transmission network in all power systems is ***,it could prevent price spikes and/or involuntary load shedding and impose high expenses on the transimission network,especially in case of ***,the increasing or decreasing generation rescheduling has been used as one of the most imperative approaches for correctional congestion management when a contingency ***,demand response programs(DRPs)could also be a vital tool for managing the ***,the simultaneous employment of generation rescheduling and DRPs is proposed for congestion management in case of *** objective is to reschedule the generation of power plants and to employ DRPs in such a way so as to lessen the cost of *** crow search algorithm is employed to determine the *** accuracy and efficiency of the proposed approach are assessed through the tests conducted on IEEE 30-bus and 57-bus test *** results of various case studies indicate the better performance of the proposed approach in comparison with different approaches presented in the literature.

关键词： congestion management demand response generation rescheduling transmission economy transmission lines

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LMP congestion management Using Enhanced STF-LODF in Deregulated Power System

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Circuits and Systems 2016年第9期7卷 2489-2498页

作者： K. B. Ravindra Kumar Dr. S. Chandra Mohan Meenakshi College of Engineering Chennai Tamil Nadu India College of Engineering Anna University Chennai Tamil Nadu India

Nowadays electricity market industry is become a major impact on power system for privatization and deregulation of power in global wise. As per the limitation of the transmission system, the complexity arises and the supply fact will be with demand at the time of balancing. The congestion of the power system is occurring based on the transmission limits of the power desire and amount for operating the system. In order to avoid transmission line congestion, enhanced STF-LODF method is proposed. It shows the regulated line transmission flow with generating units by implementing renewable energy resources (RER) based on enhanced STF-LODF in power systems. It avoids the congestion of transmission line frequently in the power system and manages price based on pricing and sensitivity approach, and also manages optimal location of congestion transmission and instability issues of voltage. The congestion management of Locational Marginal Pricing (LMP) is performed with minimum line loss, less cost, line flow, better sensitivity and better performances in optimal power flow and control flow. The efficiency of the proposed power system is analyzed and verified by the simulation results of tested IEEE 14 bus system.

关键词： LODF Factor Sensitivity LMP congestion management Optimal Power Flow Renewable Resource

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An Efficient Hybrid TLBO-PSO Approach for congestion management Employing Real Power Generation Rescheduling

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Smart Grid and Renewable Energy 2021年第8期12卷 113-135页

作者： Muneeb Ul Bashir Ward Ul Hijaz Paul Mubassir Ahmad Danish Ali Md. Safdar Ali Department of Electrical Engineering Jamia Millia Islamia New Delhi India

In the present deregulated electricity market, power system congestion is the main complication that an independent system operator (ISO) faces on a regular basis. Transmission line congestion trigger serious problems for smooth functioning in restructured power system causing an increase in the cost of transmission hence affecting market efficiency. Thus, it is of utmost importance for the investigation of various techniques in order to relieve congestion in the transmission network. Generation rescheduling is one of the most efficacious techniques to do away with the problem of congestion. For optimizing the congestion cost, this work suggests a hybrid optimization based on two effective algorithms viz Teaching learning-based optimization (TLBO) algorithm and Particle swarm optimization (PSO) algorithm. For binding the constraints, the traditional penalty function technique is incorporated. Modified IEEE 30-bus test system and modified IEEE 57-bus test system are used to inspect the usefulness of the suggested methodology.

关键词： congestion management Deregulation Optimal Power Flow Teaching-Learning-Based Optimization (TLBO) Power System Modeling

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Research on congestion management in Delay-Tolerant Networks

Research on Congestion Management in Delay-Tolerant Networks

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2011 International Conference on Computer Science and Information Technology(ICCSIT 2011)

作者： Wei Sun Qingbo Liu Kangkang Li College of telecommunication& information Engineering Nanjing university of posts and telecommunications School of Computer science&technology Nanjing university of posts and telecommunications

ISBN: (纸本)9781510811249;1510811249

Far from the traditional network, delay-tolerant network (DTN) is a new kind of network derived by deep space communication. As congestion control is an important factor that directly affects network performance, development of DTN must rely on the perfect congestion control mechanism to ensure reliability, stability, and extensiveness of the network. If TCP widely used as core protocol in Internet is directly used in DTN, it could appear a series of problems such as fairness, stability and throughput rate, etc. Meanwhile, in order to enhance the reliability of data delivery in such challenging network, researchers have proposed the use of custody transfer protocols, which produces a lot of copies in network and sometimes even aggravates congestion in DTN. This paper shows some limitations of TCP directly applied in DTN, some undesirable effects of custody transfer, and survey of four kinds of distinctive congestion management in DTN.

关键词： Delay tolerant networks custody transfer congestion management

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Minimum Cost Control of Real-Time congestion management of Electricity System

Minimum Cost Control of Real-Time Congestion Management of E...

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2010 Chinese Control and Decision Conference

作者： Jiang Nan,Chen Xiangyong,Jing Yuanwei,Zhang Tie School of Information Science and Engineering,Northeastern University,Shenyang,110004

This paper studies the problem of congestion management model that based on quoted price adjustment in the real-time electricity markets,dealing with two cases:opening the generator side only and opening the generator side and load side simultaneously,introduces the congestion factor and establishes a novel optimal congestion cost model for each *** based on the max-mini theory,changes the congestion management into a nonlinear programming problem that while the transmission congestion is maximum the adjustment cost is *** the results of the simulation identify the simple feasibility and safe reliability of the proposed method.

关键词： congestion management Electricity System Cost Control

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Simulation of Cost Optimal Control of the Transmission congestion management in Electricity Systems

Simulation of Cost Optimal Control of the Transmission Conge...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Bin Liu,Nan Jiang,Yan Zheng and Yuanwei Jing are with Faculty of Information Science and Engineering,Northeastern University,110819,Shenyang,Liaoning,P.R.of China.Bin Liu is Panjin Electrical Power Administration,124010,Pan Jin,Liaoning,P.R.of China.

This paper investigates the cost control problem of congestion management model in the real-time power *** improved optimal congestion cost model is built by introducing the congestion factor in dealing with the cases:opening the generator side and load side *** global optimal solution of real-time congestion management is obtained based on the immune genetic algorithm,simulated annealing algorithm and ant colony algorithm,*** the simulation results of several algorithms to analyze and find a more simple and feasible and safe and easy to implement in order to effectively reduce and control the adjustment costs.

关键词： Electricity Systems congestion management Immune Genetic Algorithm Simulated Annealing Ant Colony Algorithm

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Indices of Congested Areas and Contributions of Customers to congestions in Radial Distribution Networks

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 656-666页

作者： Jinping Zhao Ali Arefi Alberto Borghetti Gerard Ledwich College of Science HealthEngineeringand EducationMurdoch UniversityWA6150Australia Department of Electrical Electronicand Information EngineeringUniversity of BolognaBologna40126Italy School of Electrical Engineering and Robotics Queensland University of TechnologyBrisbaneQLD 4000Australia

congestions are becoming a significant issue with an increasing number of occurrences in distribution networks due to the growing penetration of distributed generation and the expected development of electric *** congestion management(CM)policies and prices require proper indices of congested areas and contributions of customer to *** paper presents spatial and temporal indices for rapidly recognizing the seriousness of congestions from the perspectives of both magnitude violation and duration to prioritize the affected areas where CM procedures should be primarily ***,indices are presented which describe the contributions of customers to the *** tests on IEEE 123-bus and Australian 23-bus low-voltage distribution test feeders illustrate the calculation and capabilities of the proposed indices in balanced and unbalanced systems.

关键词： congestion management spatial index temporal index distribution network contribution of customer

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Distribution Locational Marginal Pricing Based Equilibrium Optimization Strategy for Data Center Park with Spatial-temporal Demand-side Resources

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Journal of Modern Power Systems and Clean Energy 2023年第6期11卷 1959-1970页

作者： Zhihao Yang Anupam Trivedi Ming Ni Haoming Liu Dipti Srinivasan IEEE College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China Department of Electrical&Computer Engineering National University of SingaporeSingapore

This paper proposes a distribution locational marginal pricing(DLMP) based bi-level Stackelberg game framework between the internet service company(ISC) and distribution system operator(DSO) in the data center park. To minimize electricity costs, the ISC at the upper level dispatches the interactive workloads(IWs) across different data center buildings spatially and schedules the battery energy storage system temporally in response to DLMP. Photovoltaic generation and static var generation provide extra active and reactive power. At the lower level, DSO calculates the DLMP by minimizing the total electricity cost under the two-part tariff policy and ensures that the distribution network is uncongested and bus voltage is within the limit. The equilibrium solution is obtained by converting the bi-level optimization into a single-level mixed-integer second-order cone programming optimization using the strong duality theorem and the binary expansion method. Case studies verify that the proposed method benefits both the DSO and ISC while preserving the privacy of the ISC. By taking into account the uncertainties in IWs and photovoltaic generation, the flexibility of distribution networks is enhanced, which further facilitates the accommodation of more demand-side resources.

关键词： Bi-level optimization congestion management data center demand response distribution locational marginal pricing(DLMP) robust optimization

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