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SOC-aware Primary Frequency Control of Low-inertia Power Systems with Battery Energy Storage 基于电池储能的低惯性电力系统的soc感知频率控制
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078647
Zakaria Afshar, Hamid Rahmanei, I. Bhogaraju, M. Farasat
{"title":"SOC-aware Primary Frequency Control of Low-inertia Power Systems with Battery Energy Storage","authors":"Zakaria Afshar, Hamid Rahmanei, I. Bhogaraju, M. Farasat","doi":"10.1109/TPEC56611.2023.10078647","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078647","url":null,"abstract":"The state of charge (SOC) of battery energy storage system (BESS) is modeled and integrated into the primary frequency control of a low-inertia power system. This is achieved by developing a new state-space model of the system, which includes the SOC dynamics, and using it to design a piece-wise linear SOC controller that prohibits the BESS depletion beyond the minimum allowable range. The controller design and its effect on the system stability are studied based on Popov/circle criterion, which is commonly used for piece-wise linear systems. The developed system model is validated by MATLAB simulations, and the real-time implementation feasibility of the proposed SOC-aware primary frequency control is verified through real-time simulations of a low-inertia power system with varying load conditions.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"20 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132974406","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: 0
Techno-Economical Assessment of MVAC and MVDC Collector Systems for Offshore Wind Farms 海上风电场MVAC和MVDC集热器系统的技术经济评价
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078627
Yiming Chen, S. Grijalva, L. Graber
{"title":"Techno-Economical Assessment of MVAC and MVDC Collector Systems for Offshore Wind Farms","authors":"Yiming Chen, S. Grijalva, L. Graber","doi":"10.1109/TPEC56611.2023.10078627","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078627","url":null,"abstract":"This paper presents a techno-economic framework for assessing medium voltage AC/DC collector systems for off-shore wind farms (OWFs). Key technical factors are evaluated through a probabilistic optimal power flow (OPF) analysis and reflected in the cost calculation. The long-term variability of wind speed is modeled using a Weibull distribution. Three different grid layouts are designed and compared, namely radial, ring, and star topologies. In addition, the optimal sizing problem is also examined to find the best balance between collector system utilization and wind power curtailment. Numerical results show that MVDC options can significantly reduce costs compared to their AC counterparts.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133031593","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: 0
Robust System Reconfiguration in the Presence of Uncertain Loads and Renewable Generation 不确定负荷和可再生发电下的鲁棒系统重构
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078654
M. Mahdavi, K. Schmitt, Stephen B. Bayne, M. Chamana
{"title":"Robust System Reconfiguration in the Presence of Uncertain Loads and Renewable Generation","authors":"M. Mahdavi, K. Schmitt, Stephen B. Bayne, M. Chamana","doi":"10.1109/TPEC56611.2023.10078654","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078654","url":null,"abstract":"Although distributed generation (DG) operation in modern distribution systems reduces energy losses, DG penetration in such networks is restricted by technical and investment limitations. In order to reduce these losses more efficiently, active distribution systems should be reconfigured based on their time-varying and uncertain load and renewable generation levels. However, considering demand variability in distribution systems’ reconfiguration increases the mathematical efforts, computational burden, and processing time. Besides, the reconfiguration model must be robust enough to avoid consecutive reconfigurations under small load and generation variations. Accordingly, reconfiguration strategies should be chosen so that they have enough robustness and good convergence speed regarding load and generation uncertainty and variability. Therefore, the present paper develops an effective and robust strategy for active distribution systems’ reconfiguration with load and renewable generation variability and uncertainty. The model is submitted to two standard distribution systems where the results are compared with other models presented by the literature. The comparison highlights the robustness and computational time efficiency of the presented model.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"260 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122940057","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: 0
Role of Consumption Pattern in Optimal Allocation of Distributed Generators in Electric Power and Energy Systems 消费模式在电力能源系统中分布式发电机优化配置中的作用
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078503
M. Mahdavi, F. Jurado, K. Schmitt, M. Chamana, Stephen B. Bayne
{"title":"Role of Consumption Pattern in Optimal Allocation of Distributed Generators in Electric Power and Energy Systems","authors":"M. Mahdavi, F. Jurado, K. Schmitt, M. Chamana, Stephen B. Bayne","doi":"10.1109/TPEC56611.2023.10078503","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078503","url":null,"abstract":"The placement of distributed generation (DG) units in power systems is an efficient way for energy loss reduction, especially when the penetration of DG in modern systems is growing due to their impacts on environmental sustainability. On the other hand, load variations and methods of electricity consumption affect energy losses amount. Therefore, power demand variations have an essential role in the determination of energy loss amount and optimal generation of DG. However, considering the variability of load level in the DG allocation problem increases the burden and computational time, and neglecting it causes the energy losses to be calculated inaccurately. Therefore, this paper aims to evaluate the effect of load patterns on renewable DG allocation plans in order to find out the importance of considering load variations in energy loss minimization via DG placement. The analysis has been conducted on 7-, 12-, 16-, 28-, 30-, 33-, 59-, 69-, 70-, 84-, and 119-bus distribution systems by a classic optimization tool named AMPL.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116343098","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
A Genetic Algorithm-Based Power System Volt/Var Optimization Applied to Transmission Studies 基于遗传算法的电力系统电压/无功优化在输电研究中的应用
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078585
Hanyue Li, Govind Joshi, Matt Mazhari, Timothy Kopp
{"title":"A Genetic Algorithm-Based Power System Volt/Var Optimization Applied to Transmission Studies","authors":"Hanyue Li, Govind Joshi, Matt Mazhari, Timothy Kopp","doi":"10.1109/TPEC56611.2023.10078585","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078585","url":null,"abstract":"With the increasing number of renewable generation and load interconnection applications to transmission systems, the volume and complexity of voltage and reactive power control problems for the high-voltage power system network are unprecedented. Motivated by the transmission planning and generator interconnection studies conducted in the industry, this work developed a genetic algorithm-based volt/var optimization approach as an improvement to the industry’s current practice to mitigate bus voltage violations and optimize reactive power device control variables.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126671321","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: 0
Necessity of Joint Resource and Transmission Expansion Planning in Presence of System and Policy Uncertainties 系统和政策不确定性下联合资源和输电扩展规划的必要性
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078637
M. Mehrtash, B. Hobbs, Reza Mahroo
{"title":"Necessity of Joint Resource and Transmission Expansion Planning in Presence of System and Policy Uncertainties","authors":"M. Mehrtash, B. Hobbs, Reza Mahroo","doi":"10.1109/TPEC56611.2023.10078637","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078637","url":null,"abstract":"A clear gap exists between the way that power system expansion planning is modeled in academic research papers and the real-world practice of system planners. To address this gap, we perform two comparative numerical case studies on a large-scale ERCOT-like test system. In the first study, we quantify the economic benefit of optimization-based TEP over the approach of project-by-project screening of expansion plans that is more popular in industry. The second study compares the solutions of resource-only expansion planning with those of joint resource and transmission expansion planning considering four future scenarios representing uncertainties that exist in emission reduction policies and forecasted demand. Numerical case studies illustrate the significant economic and technical benefits of co-optimization in resource and transmission expansion planning.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129697038","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: 0
Impact of Harmonics of Distributed Generators on the Harmonic Profiling of Distribution Networks 分布式发电机谐波对配电网谐波分布的影响
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078476
S. Rahman, I. Khan, A. Iqbal
{"title":"Impact of Harmonics of Distributed Generators on the Harmonic Profiling of Distribution Networks","authors":"S. Rahman, I. Khan, A. Iqbal","doi":"10.1109/TPEC56611.2023.10078476","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078476","url":null,"abstract":"Distributed generators (DGs) have emerged as a go-to solution to accommodate increasing loads, with the existing grid infrastructure. The DG-injected power can be consumed locally, thereby reducing the grid current and improving the voltage profile. The power-electronics interface-based DGs, controlled as current sources, employ a grid-side filter for injecting sinusoidal current into the grid. As the filter is designed to meet IEEE compliance for DG grid integration, the current THD is restricted to less than 5%. Although the compliance is met, these harmonics injected into the grid significantly deteriorate the harmonic profile of the entire grid. This study quantifies the impact of two types of DGs – constant power DGs (Type-1) and varying power DGs (Type-II) on the utility grid. An actual 24-hour data-based IEEE 33-bus distribution network, consisting of both linear and non-linear loads, is used to quantify the DGs' harmonic impact. Post-DGs addition, it is observed that Type-I DGs increase the voltage THD by at least 1% at the farthest nodes, although the pattern remains consistent with that of prior DG addition. However, with Type-II DGs, the profile obtained is further deteriorated and inconsistent and exhibits a strong dependence on the power generation of the DG.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"132 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130241092","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: 0
Top-Down Control Design Strategy for Electric Power Grid EMP (E3) Protection 电网EMP (E3)保护的自顶向下控制设计策略
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078616
Timothy J. Donnelly, D. Wilson, R. Robinett, W. Weaver
{"title":"Top-Down Control Design Strategy for Electric Power Grid EMP (E3) Protection","authors":"Timothy J. Donnelly, D. Wilson, R. Robinett, W. Weaver","doi":"10.1109/TPEC56611.2023.10078616","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078616","url":null,"abstract":"A high altitude electromagnetic pulse (HEMP) caused by a nuclear explosion has the potential to severely impact the operation of large-scale electric power grids. This paper presents a top-down mitigation design strategy that considers grid-wide dynamic behavior during a simulated HEMP event – and uses optimal control theory to determine the compensation signals required to protect critical grid assets. The approach is applied to both a standalone transformer system and a demonstrative 3-bus grid model. The performance of the top-down approach relative to conventional protection solutions is evaluated, and several optimal control objective functions are explored. Finally, directions for future research are proposed.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114753834","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
Multi-Agent Energy Management Strategy for Multi-Microgrids Using Reinforcement Learning 基于强化学习的多微电网多智能体能量管理策略
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078538
Mohammad Safayet Hossain, Chinwendu Enyioha
{"title":"Multi-Agent Energy Management Strategy for Multi-Microgrids Using Reinforcement Learning","authors":"Mohammad Safayet Hossain, Chinwendu Enyioha","doi":"10.1109/TPEC56611.2023.10078538","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078538","url":null,"abstract":"In this paper, an intelligent energy management framework is proposed to operate multiple grid-connected microgrids (MGs) using a cooperative control strategy. Each MG incorporates an intelligent agent, distributed energy resources (DERs), and residential loads. Multiple agents cooperate to optimize the control inputs using communication link-based state observation. The MGs are connected with two utility grids to participate in the electricity market through the power exchange using a real-time price signal. The secondary link supplies power to the MGs with a higher tariff when the primary grid link goes offline. Reinforcement learning (RL) is explored to build an intelligent energy management system (EMS) where the proximal policy optimization (PPO) algorithm is utilized. It is verified that the proposed energy management strategy reduces the operational cost of MGs significantly by exploiting a nearoptimal real-time scheduling policy. Moreover, the trained agents optimize the operation of DERs during the primary grid link offline scenario to compensate for the higher tariff.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114510593","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: 0
Spatiotemporal Impact of Electric Vehicles in Mitigating Damages from Destructive Storms 电动汽车在减轻破坏性风暴损害中的时空影响
2023 IEEE Texas Power and Energy Conference (TPEC) Pub Date : 2023-02-13 DOI: 10.1109/TPEC56611.2023.10078519
Jung Kyo Jung, F. Safdarian, Jessica L. Wert, Diana Wallison, T. Overbye
{"title":"Spatiotemporal Impact of Electric Vehicles in Mitigating Damages from Destructive Storms","authors":"Jung Kyo Jung, F. Safdarian, Jessica L. Wert, Diana Wallison, T. Overbye","doi":"10.1109/TPEC56611.2023.10078519","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078519","url":null,"abstract":"The impact of Electric Vehicles (EVs) on the grid and the benefit of utilizing them as a source of energy to increase the grid’s reliability and resilience in severe weather conditions are shown in this study. This case study is the winter storm Uri that happened in February 2021 in Texas and impacted a large part of the United States. The studied grid is a realistic 7000-bus electric grid on the Texas footprint to mimic the ERCOT system without revealing confidential data. The results show that using EVs as power sources can help avoid outages and the necessity of load shedding in similar events.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132587629","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: 0
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