2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)最新文献_第3页

Swift Disaster Recovery for Resilient Power Grids: Integration of DERs with Mobile Power Sources 弹性电网的快速灾难恢复:DERs与移动电源的集成

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183451

Mostafa Nazemi, P. Dehghanian, Zijiang Yang

引用次数: 2

Risk Assessment for the Amount of Transmission System Usage Penalties via Probabilistic Load Flow 基于概率负荷流的输电系统使用惩罚量风险评估

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183692

André Milhorance, A. M. Leite da Silva, Érica Telles, A. Street

引用次数: 2

Distributed Model-free Control in Low Voltage Distribution Networks: A Mean Field Approach 低压配电网的分布式无模型控制:一种平均场方法

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183398

Boyuan Wei, G. Deconinck

引用次数: 3

Variability Reduction of Wind Power using Aggregation and Energy Storage 利用聚合和储能减少风能的可变性

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183515

Atri Bera, N. Nguyen, Saad Alzahrani, Khalil Sinjari, J. Mitra

{"title":"Variability Reduction of Wind Power using Aggregation and Energy Storage","authors":"Atri Bera, N. Nguyen, Saad Alzahrani, Khalil Sinjari, J. Mitra","doi":"10.1109/PMAPS47429.2020.9183515","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183515","url":null,"abstract":"Integration of wind energy into the grid poses serious challenges to the system reliability due to its intermittent nature. Variability of wind can be mitigated using various methods including deployment of energy storage systems (ESS), aggregation of geographically diverse wind, and the use of flexible loads. This paper proposes a novel method for reducing the variability of wind power by both deploying ESS and aggregating geographically diverse wind production. Although the aggregation of geographically diverse wind can reduce its intermittency to some extent, the benefits of this approach are limited due to a number of factors which are discussed in this paper. ESS, on the other hand, have been widely used for variability mitigation of wind and achieving reliability targets. However, ESS projects are expensive. In this context, this paper studies the impact of reliability enhancement of a system and the reduction in storage size by aggregating wind power from geographically diverse wind farms. The proposed approach is validated by performing sequential Monte Carlo simulation (MCS) using the IEEE Reliability Test System data. Results show that aggregation of geographically diverse wind can significantly reduce the size of ESS required for improving the reliability of the system.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132076501","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: 1

Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming 用随机动态规划表示住宅建筑能源管理的长期影响

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183623

K. Thorvaldsen, Sigurd Bjarghov, H. Farahmand

{"title":"Representing Long-term Impact of Residential Building Energy Management using Stochastic Dynamic Programming","authors":"K. Thorvaldsen, Sigurd Bjarghov, H. Farahmand","doi":"10.1109/PMAPS47429.2020.9183623","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183623","url":null,"abstract":"Scheduling a residential building short-term to optimize the electricity bill can be difficult with the inclusion of capacity-based grid tariffs. Scheduling the building based on a proposed measured-peak (MP) grid tariff, which is a cost based on the highest peak power over a period, requires the user to consider the impact the current decision-making has in the future. Therefore, the authors propose a mathematical model using stochastic dynamic programming (SDP) that tries to represent the long-term impact of current decision-making. The SDP algorithm calculates non-linear expected future cost curves (EFCC) for the building based on the peak power backwards for each day over a month. The uncertainty in load demand and weather are considered using a discrete Markov chain setup. The model is applied to a case study for a Norwegian building with smart control of flexible loads, and compared against methods where the MP grid tariff is not accurately represented, and where the user has perfect information of the whole month. The results showed that the SDP algorithm performs 0.3 % better than a scenario with no accurate way of presenting future impacts, and performs 3.6 % worse compared to a scenario where the user had perfect information.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"374 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122605397","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: 3

Power System Resiliency During Wildfires Under Increasing Penetration of Electric Vehicles 在电动汽车日益普及的情况下，火灾时电力系统的弹性

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183683

Daniel L. Donaldson, Manuel S. Alvarez‐Alvarado, D. Jayaweera

{"title":"Power System Resiliency During Wildfires Under Increasing Penetration of Electric Vehicles","authors":"Daniel L. Donaldson, Manuel S. Alvarez‐Alvarado, D. Jayaweera","doi":"10.1109/PMAPS47429.2020.9183683","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183683","url":null,"abstract":"Rising electric vehicle (EV) adoption is introducing new challenges to the operation and planning of the electric grid. Currently power system planners perform analysis to ensure adequate levels of reliability following contingencies such as loss of a substation. However, existing planning standards do not explicitly mandate studies of the redistribution of EV charging demand that would take place in the case of extreme events. Planning to serve the charging demand from EVs during extreme events is paramount to ensure the resiliency of the grid. This paper presents a novel framework for power system planners to reflect the impact of EV evacuations on grid resiliency during wildfire events. The method consists of resiliency analysis coupled with probabilistic models of load redistribution taking into account potential evacuation routes. A case study using the 2019 update to the IEEE 24 bus Reliability Test System (RTS) is performed to demonstrate the efficacy of the proposed strategy. The framework results in a more specific resiliency trapezoid that reflects a more realistic resiliency behaviour of the system.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117078359","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: 10

A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources 基于灵敏度的分布式能源优化选址方法

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183471

Mukesh Gautam, N. Bhusal, M. Benidris, C. Singh, J. Mitra

{"title":"A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources","authors":"Mukesh Gautam, N. Bhusal, M. Benidris, C. Singh, J. Mitra","doi":"10.1109/PMAPS47429.2020.9183471","DOIUrl":"https://doi.org/10.1109/PMAPS47429.2020.9183471","url":null,"abstract":"This paper presents a sensitivity-based approach for the placement of distributed energy resources (DERs) in power systems. The approach is based on the fact that most planning studies utilize some form of optimization, and solutions to these optimization problems provide insights into the sensitivity of many system variables to operating conditions and constraints. However, most of the existing sensitivity-based planning criteria do not capture ranges of effectiveness of these solutions (i.e., ranges of the effectiveness of Lagrange multipliers). The proposed method detects the ranges of effectiveness of Lagrange multipliers and uses them to determine optimal solution alternatives. Profiles for existing generation and loads, and transmission constraints are taken into consideration. The proposed method is used to determine the impacts of DERs at different locations, in presence of a stochastic element (load variability). This method consists of sequentially calculating Lagrange multipliers of the dual solution of the optimization problem for various load buses for all load scenarios. Optimal sizes and sites of resources are jointly determined in a sequential manner based on the validity of active constraints. The effectiveness of the proposed method is demonstrated through several case studies on various test systems including the IEEE reliability test system (IEEE RTS), the IEEE 14 and 30 bus systems. In comparison with conventional sensitivity-based approaches (i.e., without considering ranges of validity of Lagrange multipliers), the proposed approach provides more accurate results for active constraints.","PeriodicalId":126918,"journal":{"name":"2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115241319","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: 1

Linear State and Parameter Estimation for Power Transmission Networks 输电网的线性状态和参数估计

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183473

Aleksandar Jovici, G. Hug

引用次数: 1

Deriving Transformer Equivalent Age for Power System Reliability Assessment from Asset Condition Score 从资产状态分数求电力系统可靠性评估变压器等效年龄

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183412

S. Awadallah, J. Milanović, P. Jarman

引用次数: 0

Distributionally Robust Co-Optimization of Energy and Reserve Dispatch of Integrated Electricity and Heat System 电热一体化系统能量与储备调度的分布式鲁棒协同优化

2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2020-08-01 DOI: 10.1109/PMAPS47429.2020.9183678

Mikhail Skalyga, Quiwei Wu

引用次数: 3