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Data-driven and Model-based Hybrid Reinforcement Learning to Reduce Stress on Power Systems Branches

CSEE Journal of Power and energy Systems 2021年第3期7卷 433-442页

作者： Mariana Kamel Renchang Dai Yawei Wang Fangxing Li Guangyi Liu The University of Tennessee.Knoxville TNUSA puget sound energy BellevueWAUSA PayPal San JoseCAUSA Envision Digital.Redwood City CAUSA

This work proposes a reinforcement learning(RL)approach to tackle the control problem of branch overload relief in large power ***,a control agent is trained to change generators'real power output in order to relieve the stressed *** large power systems,this control problem becomes one whose decision space(i.e.,the action space)is both highly-dimensioned and *** makes it extremely difficult to have successful training for RL-based *** improve the effectiveness,a data-driven and model-based hybrid approach is proposed to optimize the control by combining RL-agent actions and generator shifting factor-driven ***,with the proposed approach the RL-agent successfully trains on large power *** proposed design is tested on both the IEEE 118-bus testing system and a 2749-bus real *** obtained results show that the proposed hybrid approach outperforms the data-driven training approach.

关键词： Deep deterministic policy gradient generation re-dispatch hybrid learning overload relief reinforcement learning

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Distribution Control Centers in the US and Europe:Commonalities,Differences,and Lessons

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Journal of Modern Power Systems and Clean energy 2022年第2期10卷 259-268页

作者： Subramanian Vadari Izudin Dzafic Dan'l Koch Ryan Murphy Daniel Hayes Jr. Tarik Donlagic Modem Grid Solutions New YorkUSA University of Sarajevo Faculty of Electrical EngineeringSarajevoBosnia and Herzegovina R.Murphy are with puget sound energy BellevueUSA Commonwealth Edison ChicagoUSA Siemens AG ErlanglenGermany

The distribution control center(DCC)has evolved from a sideshow in the traditional distribution service center to a major centerpiece of the utility moving into the decentralized ***,this is the place where much of the action is happening due to new forms of energy that are coining into the distribution *** creates the flexibility of operation and in-creased complexity due to the need for increased coordination between the transmission control center and ***,the US and European utilities have adapted to this change in very different ***,we describe the research works done in a DCC and their evolutions from the perspectives of major US utilities,and those enhanced by the European perspective focusing on the coordination of distribution system operator and transmission system operator(DSO-TSO).We pres-ent the insights into the systems used in these control centers and the role of vendors in their *** this paper,we present the perspectives of challenges,operational capabilities,and the involvement of various parties who will be re-sponsible to make the transition *** differences are pointed out on how distribution operations are conducted between the US and Europe.

关键词： Distribution control center(DCC) power system operation distributed generation asset flexibility volt-var optimization and control.

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Graph Computing Based Security Constrained Unit Commitment in Hydro-thermal Power Systems Incorporating Pumped Hydro Storage

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CSEE Journal of Power and energy Systems 2021年第3期7卷 485-496页

作者： Longfei Wei Guangyi Liu Shen Yan Renchang Dai Yachen Tang Hitachi ABB Power Grids San JoseCAUSA School of Electrical Engineering Xi'an University of TechnologyXi'anChina Department of Industrial and Enterprise Systems Engineering University of Illinois at Urbana-ChampaignChampaignILUSA puget sound energy BellevueWAUSA Envision Digital Inc. Redwood CityCAUSA

This paper proposes a graph computing based mixed integer programming(MIP)framework for solving the security constrained unit commitment(SCUC)problem in hydro-thermal power systems incorporating pumped hydro storage(PHS).The proposed graph computing-based MIP framework considers the economic operations of thermal units,cascade hydropower stations and PHS stations,as well as their technical impacts towards the network ***,the hydro-thermal power system data and unit information are stored in a graph structure with nodes and edges,which enables nodal and hierarchical parallel computing for the unit commitment(UC)solution calculation and network security analysis.A MIP model is then formulated to solve the SCUC problem with the mathematical models of thermal units,cascade hydropower stations and PHS *** addition,two optimization approaches including convex hull reformulation(CHR)and special ordered set(SOS)methods are introduced for speeding up the MIP calculation *** ensure the system stability under the derived UC solution,a parallelized graph power flow(PGPF)algorithm is proposed for the hydro-thermal power system network security ***,case studies of the IEEE 118-bus system and a practical 2749-bus hydro-thermal power system are introduced to demonstrate the feasibility and validity of the proposed graph computing-based MIP framework.

关键词： Graph computing hydro-thermal system mixed integer programming network security unit commitment

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电力图计算平台及其在能源互联网中的应用

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电网技术 2021年第6期45卷 2051-2063页

作者：刘广一戴仁昶路轶杨小磊汤亚宸范宏谭俊刘婷婷远景科技集团 Redwood City CA 94065 puget sound energy Bellevue WA 98004 国网四川省电力公司四川省成都市610041

建设能源互联网已经成为提升电力公司客户服务质量、提升企业运营效益、提高能源利用水平和优化可再生能源消纳的必然选择。与智能电网相比,能源互联网的运行规模更大,优化控制更复杂,其对信息管理系统在系统规模和计算分析速度上提出... 详细信息

建设能源互联网已经成为提升电力公司客户服务质量、提升企业运营效益、提高能源利用水平和优化可再生能源消纳的必然选择。与智能电网相比,能源互联网的运行规模更大,优化控制更复杂,其对信息管理系统在系统规模和计算分析速度上提出了更高要求。电力企业迫切需要利用互联网领域的最新技术研发能源互联网信息管理系统。针对这些要求,首先介绍在互联网领域已经获得广泛应用的图数据库的基本概念和特点,然后介绍原创的电力图计算平台,接着介绍在此基础上研发的超高速能量管理系统(energy management system,EMS)、“发输变配电网一张图”系统、电力设备管理知识图谱、综合能源服务技术支持系统、电力现货市场模拟仿真系统、以及“能源互联网一张图”信息融合共享系统,最后对图数据库和图计算在能源互联网中的广泛应用场景给出了展望。

关键词：图数据库图计算平台超高速EMS系统电网一张图现货市场模拟仿真系统综合能源服务知识图谱

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电力系统预想故障分析GPU并行和图并行计算的比较研究

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电网技术 2021年第6期45卷 2064-2069页

作者：戴仁昶王亚伟刘广一路轶阚博文张翔魏龙飞 puget sound energy Bellevue WA 98004 全球能源互联网美国研究院加利福利亚圣何塞95134 远景科技集团 Redwood City CA 94065 国网四川省电力公司四川省成都市610041

为保障电力系统安全运行,考虑预想故障的静态安全分析在调度运行中被广泛采用。随着系统规模不断扩大和预想故障集的不断增加,对在线实时预想故障分析的要求越来越高,高性能计算是实现在线实时预想故障分析的关键。图形处理器(graphics ... 详细信息

为保障电力系统安全运行,考虑预想故障的静态安全分析在调度运行中被广泛采用。随着系统规模不断扩大和预想故障集的不断增加,对在线实时预想故障分析的要求越来越高,高性能计算是实现在线实时预想故障分析的关键。图形处理器(graphics processing unit,GPU)和图计算高效的并行特性为实现大规模电网实时预想故障分析提供了解决方案。文中从计算架构、计算方法和计算效率等方面对基于GPU和基于图计算的预想故障并行分析进行了比较研究和分析计算,计算结果表明,图并行计算方法在实现方式和计算效率上更具优势。

关键词：预想故障分析并行计算图形处理器图数据库图计算

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