2019 IEEE Milan PowerTech最新文献_第10页

Congestion Management in distribution grid networks through active power control of flexible distributed energy resources 基于柔性分布式能源有功控制的配电网拥塞管理

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810585

R. Ciavarella, M. di Somma, G. Graditi, M. Valenti

{"title":"Congestion Management in distribution grid networks through active power control of flexible distributed energy resources","authors":"R. Ciavarella, M. di Somma, G. Graditi, M. Valenti","doi":"10.1109/PTC.2019.8810585","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810585","url":null,"abstract":"With the increasing penetration levels of distributed energy resources (DER), grid congestion events may occur by causing severe damages and potential black outs in power systems. Developing innovative operation planning strategies and control tools for the grid congestion management is thus a primary goal for ensuring network reliability and security. In this paper, we propose a Grid Congestion Management Controller (GCMC) to solve grid congestion issues by controlling the active power of flexible DER (e.g. storage, flexible loads, electric vehicles, distributed generators) present in the grid, thus increasing availability of active resources to maintain the network stability. The GCMC is developed here as a self-contained control acting on distribution level, and will be further developed to be integrated in the INTEgrated opeRation PLANning tool, which will be the main outcome of the INTERPLAN H2020 project. INTERPLAN (Nov.2016Nov.2020) aims to provide an integrated tool to support transmission system operators and distribution system operators in the operation planning of the pan-European network. The GCMC effectiveness is tested in the presence of specific congestion events by using the Cigrè benchmark grid model under different scenarios. Simulation results show that the proposed control logic is efficient in mitigating grid congestion through optimally re-dispatching active power variation to the flexible DER connected to each busbar in the network.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126959894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Consumer Hedging Against Price Volatility Under Uncertainty 不确定性下消费者对价格波动的对冲

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810922

S. Chakraborty, M. Cvetković, R. Verzijlbergh, Z. Lukszo, K. Baker

引用次数: 3

Real-Time Hardware-in-The-Loop Platform for Hybrid AC/DC Power System Studies 交直流混合电源系统实时硬件在环平台研究

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810905

T. Joseph, Khadijat Jose, C. E. Ugalde-Loo, Gen Li, Jun Liang

{"title":"Real-Time Hardware-in-The-Loop Platform for Hybrid AC/DC Power System Studies","authors":"T. Joseph, Khadijat Jose, C. E. Ugalde-Loo, Gen Li, Jun Liang","doi":"10.1109/PTC.2019.8810905","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810905","url":null,"abstract":"Conventional power system studies are normally performed using offline analytical tools and computer-based simulations. Hardware-in-the-loop (HiL) configurations are very helpful to carry out experimental tests in a safe environment without affecting the operation of a practical power system. Following this line, a real-time HiL (RT-HiL) platform suitable for a wide range of power system studies is presented in this paper. Emphasis is placed on the individual components of the platform. To demonstrate the capabilities of the RT-HiL configuration, two case studies are presented: subsynchronous resonance damping and fast frequency support provision. The ac grids are modeled in the RT simulator, while dc networks are implemented in a physical test-bed. The ability of the RT-HiL platform to emulate ac/dc interactions and grid support services is shown. For completeness, experimental results are compared against PSCAD simulation results—showing a good agreement. It should be emphasized that the presented experimental platform goes beyond conventional HiL set-ups—instead representing a hybrid hardware-based emulator with RT-HiL simulation.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115590113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Quantifying the Flexibility by Energy Storage Systems in Distribution Networks with Large-Scale Variable Renewable Energy Sources 大规模可变可再生能源配电网中储能系统的柔性量化

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810952

M. R. M. Cruz, D. Fitiwi, S. Santos, J. Catalão

引用次数: 3

User-Comfort Oriented Bidding Strategy for Electric Vehicle Parking Lots 面向用户舒适度的电动汽车停车场竞价策略

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810755

İbrahim Şengör, Alper Çiçek, Ayşe Kübra Erenoğlu, O. Erdinç, A. Taşcıkaraoǧlu, C. João P. S.

引用次数: 2

Unlocking the Flexibility of CHP in District Heating Systems to Provide Frequency Response 释放热电联产在区域供热系统中提供频率响应的灵活性

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810576

Xiandong Xu, Yue Zhou, Meysam Qadrdan, Jianzhong Wu

引用次数: 9

A Mixed-Integer Distributionally Robust Chance-Constrained Model for Optimal Topology Control in Power Grids with Uncertain Renewables 不确定可再生能源电网最优拓扑控制的混合整数分布鲁棒机会约束模型

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810440

Mostafa Nazemi, P. Dehghanian, M. Lejeune

{"title":"A Mixed-Integer Distributionally Robust Chance-Constrained Model for Optimal Topology Control in Power Grids with Uncertain Renewables","authors":"Mostafa Nazemi, P. Dehghanian, M. Lejeune","doi":"10.1109/PTC.2019.8810440","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810440","url":null,"abstract":"This paper proposes a distributionally robust chance-constrained (DRCC) optimization model for optimal topology control in power grids overwhelmed with significant renewable uncertainties. A novel moment-based ambiguity set is characterized to capture the renewable uncertainties with no knowledge on the probability distributions of the random parameters. A distributionally robust optimization (DRO) formulation is proposed to guarantee the robustness of the network topology control plans against all uncertainty distributions defined within the moment-based ambiguity set. The proposed model minimizes the system operation cost by co-optimizing dispatch of the lower-cost generating units and network topology—i.e., dynamically harnessing the way how electricity flows through the system. In order to solve the problem, the DRCC problem are reformulated into a tractable mixed-integer second order cone programming problem (MISOCP) which can be efficiently solved by off-the-shelf solvers. Numerical results on the IEEE 118-bus test system verify the effectiveness of the proposed network reconfiguration methodology under uncertainties.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133039248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Applying Steinmetz Circuit Design to Mitigate Voltage Unbalance Using Distributed Solar PV 应用Steinmetz电路设计缓解分布式太阳能光伏的电压不平衡

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810692

Mengqi Yao, I. Hiskens, J. Mathieu

引用次数: 5

Evaluating Strategies for Decarbonising the Transport Sector in Great Britain 评估英国运输部门脱碳战略

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810865

Peng Fu, D. Pudjianto, Xi Zhang, G. Strbac

{"title":"Evaluating Strategies for Decarbonising the Transport Sector in Great Britain","authors":"Peng Fu, D. Pudjianto, Xi Zhang, G. Strbac","doi":"10.1109/PTC.2019.8810865","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810865","url":null,"abstract":"Besides electricity and heat systems, transport sector contributes significantly to carbon emissions. Two strategies for decarbonizing transport sectors, i.e. electrification and a shift from fossil-fuel to hydrogen are evaluated in this paper. A multi-energy whole-system planning model formulated as a large-scale linear programming problem is proposed to analyse the cost performance of different strategies. The model consists of the simplified representation of an electricity system (generation, transmission, distribution, storage, and demand), energy transport demand, and hydrogen system (production, transmission, and storage). The first strategy assumes that all transportation fleets will be electrified. The importance of flexibility that can be potentially provided by electric vehicles to improve the integration of low-carbon generation technologies and electric vehicles is also assessed. The second strategy assumes all vehicles will be fuelled by hydrogen. The synergy between electricity and hydrogen system is analysed. A range of case studies on future GB development scenarios has been carried out to demonstrate the suitability of the model to assess the economic performance and energy system implications of different transport decarbonisation strategies.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127887571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Interval-Based Adaptive Inertia and Damping Control of a Virtual Synchronous Machine 基于区间的虚拟同步机自适应惯性与阻尼控制

2019 IEEE Milan PowerTech Pub Date : 2019-06-23 DOI: 10.1109/PTC.2019.8810640

U. Markovic, Nicolas Früh, P. Aristidou, G. Hug

引用次数: 9