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Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup 考虑内生不确定性的主动配电系统冷载恢复策略
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9917093
Yujia Li, Wei Sun, Wenqian Yin, Shunbo Lei, Yunhe Hou
{"title":"Restoration Strategy for Active Distribution Systems Considering Endogenous Uncertainty in Cold Load Pickup","authors":"Yujia Li, Wei Sun, Wenqian Yin, Shunbo Lei, Yunhe Hou","doi":"10.1109/PESGM48719.2022.9917093","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917093","url":null,"abstract":"Cold load pickup (CLPU) phenomenon is identified as the persistent power inrush upon a sudden load pickup after an outage. Under the active distribution system (ADS) paradigm, where distributed energy resources (DERs) are extensively installed, the decreased outage duration can induce a strong interdependence between CLPU pattern and load pickup decisions. In this paper, we propose a novel modelling technique to tractably capture the decision-dependent uncertainty (DDU) inherent in the CLPU process. Subsequently, a two-stage stochastic decision-dependent service restoration (SDDSR) model is constructed, where first stage searches for the optimal switching sequences to decide step-wise network topology, and the second stage optimizes the detailed generation schedule of DERs as well as the energization of switchable loads. Moreover, to tackle the computational burdens introduced by mixed-integer recourse, the progressive hedging algorithm (PHA) is utilized to decompose the original model into scenario-wise subproblems that can be solved in parallel. The numerical test on modified IEEE 123-node test feeders has verified the efficiency of our proposed SDDSR model and provided fresh insights into the monetary and secure values of DDU quantification.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122132830","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
Immersion Based Nonlinear Observer Design for Power Systems 基于浸入式的电力系统非线性观测器设计
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9917175
C. Mishra
{"title":"Immersion Based Nonlinear Observer Design for Power Systems","authors":"C. Mishra","doi":"10.1109/PESGM48719.2022.9917175","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917175","url":null,"abstract":"Geometric techniques for observer design operate by transforming the original system, through a change of coordinates into a form allowing an efficient observer design. This change is predetermined up to a certain extent by what outputs are measured and therefore challenging to find. Lately, Koopman-based observers have gained popularity. These represent a more generalized approach of embedding the original system into a higher dimensional linear system. A major challenge in using this framework is the choice of new higher dimensional coordinates allowing for a possible linearization. Luckily, high gain observers make it possible to relax the linearity requirements. This work explores the use of multiple, decoupled, high gain observers to estimate the internal states. The results are demonstrated on the observer design of a classical machine.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722242","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
Real-Time Estimation of VPP Equivalent Inertia and Fast Frequency Control VPP等效惯性实时估计及快速变频控制
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916747
W. Zhong, Georgios Tzounas, F. Milano
{"title":"Real-Time Estimation of VPP Equivalent Inertia and Fast Frequency Control","authors":"W. Zhong, Georgios Tzounas, F. Milano","doi":"10.1109/PESGM48719.2022.9916747","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916747","url":null,"abstract":"The paper proposes a method to estimate, in transient conditions, the equivalent inertia constant and fast frequency control droop gain of Virtual Power Plants (VPPs). The estimations are obtained based on the frequency and active power variations at the point of connection of the VPP with the power grid. The accuracy of the estimator is enhanced by a novel technique employed to approximate the VPP's equivalent internal reactance, based on the voltage and reactive power variations at the point of connection. The performance of the proposed method is illustrated through a case study based on a modified version of the WSCC 9-bus system.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504897","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
Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning 多能微电网规划中的博弈论部门需求响应采购
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916832
Soheil Mohseni, A. Brent
{"title":"Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning","authors":"Soheil Mohseni, A. Brent","doi":"10.1109/PESGM48719.2022.9916832","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916832","url":null,"abstract":"Multi-energy community microgrids (MGs) have been recognized as key enablers for harnessing distributed demand-side flexibility resources, especially when integrating storage. However, the literature on demand response-integrated community energy system design and dispatch optimization has, thus far, failed to concurrently maximize the flexibility potential in several energy carriers, thereby neglecting the potentially significant improvement opportunities of the associated business cases. In response, this paper introduces a novel Nash bargaining-based cooperative game approach for the optimal aggregator-mediated demand response scheduling of multi-energy community MGs serving electricity and thermal loads, as well as hydrogen as a transportation fuel. More specifically, the proposed approach systematically and effectively characterizes how the players share the resulting surplus from demand-side management in an equitable manner under the assumption that the interests of the players - the MG operator, sectoral demand response aggregators, and small-scale end-users - are neither completely opposed nor completely coincident. The proposed approach is then integrated into a meta-heuristic-based long-term MG planning method. A case study for a community-based residential users' aggregation scheme in Aotearoa-New Zealand demonstrates the effectiveness of the method in reducing the total discounted system cost of a multi-energy MG by ~14% (equating to US$1.9m) and ~31% (US$5.4m) respectively compared to the cases where: (i) the actors' behaviors are characterized using non-cooperative game theory under self-interestedness assumptions; and (ii) no demand response programs are implemented.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129728963","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
Dynamic Load Altering EV Attacks Against Power Grid Frequency Control 针对电网频率控制的动态负荷改变EV攻击
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916999
M. Sayed, Mohsen Ghafouri, M. Debbabi, C. Assi
{"title":"Dynamic Load Altering EV Attacks Against Power Grid Frequency Control","authors":"M. Sayed, Mohsen Ghafouri, M. Debbabi, C. Assi","doi":"10.1109/PESGM48719.2022.9916999","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916999","url":null,"abstract":"Driven by the necessity to combat climate change, Electric Vehicles (EV) are being deployed to take advantage of their ability in reducing emissions generated by the transportation sector. This deployment has left the power grid vulnerable to attacks through the EV infrastructure. This paper is written from an attacker's perspective and proposes a dynamic load-altering strategy through manipulating EV charging to destabilize the grid. The attack is formulated based on feedback control theory, i.e., designing attack based on Linear Matrix Inequalities (LMIs). After the stability metric and controller design have been established, we demonstrate our attack method against the Kundur 2-area grid. The attack scenario includes a cap of 200 MW EV load controlled by the attacker. However, the results show that even with this limitation, the attacker would be successful in pushing the grid toward instability and blackout.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129769733","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
A Fast Decomposition Method to Solve SCOPF Empowered by Parallel Computing 基于并行计算的SCOPF快速分解求解方法
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916694
D. Rodriguez, J. Gers, D. Gomez, Wilmer Garzón, D. Álvarez, S. Rivera
{"title":"A Fast Decomposition Method to Solve SCOPF Empowered by Parallel Computing","authors":"D. Rodriguez, J. Gers, D. Gomez, Wilmer Garzón, D. Álvarez, S. Rivera","doi":"10.1109/PESGM48719.2022.9916694","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916694","url":null,"abstract":"This paper shows a heterogeneous and parallel computing (PHC) methodology applied to the Security Constraint Optimal Power Flow problem (SCOPF). The methodology used an original decomposition of base and contingency cases for the SCOPF and solved the problem through constraint handling, droop control and PV/PQ switching. PHC architecture was based on GPU and CPU to accelerate power flow calculations and parallelize contingency evaluations. The methodology was tested on power grids with sizes from 500 to 20,000 buses with promising results. The methodology allows power system optimization while guaranteeing power system security in N-1 scenarios in time frames appropriate for power system operation.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654904","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
Persistence of Excitation in an Online Monitoring of Transformer 变压器在线监测中的励磁持续性问题
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916945
Syed Shadab
{"title":"Persistence of Excitation in an Online Monitoring of Transformer","authors":"Syed Shadab","doi":"10.1109/PESGM48719.2022.9916945","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916945","url":null,"abstract":"For effective online monitoring to assess thermal performance and life expectancy, Top-oil temperature (TOT) and Hot spot Temperature (HST) should be accurately esti-mated. In general, the thermal-electrical analogy is used for the first-order model based on the Resistance-Capacitance (RC) circuit structure to approximate the evolution of thermal performance. Traditionally, the TOT model parameters are identified by minimizing the error between estimated and actual values using the input-output data. The Gradient-based estimation (Least-square minimization) guarantees the convergence of the parameter estimation error to zero only when the Persistence of Excitation (PE) condition holds for regressor signals. As the choice of input-output data used for parameter identification is crucial, the Design of Experiment (DoE) is generally performed in the laboratory to satisfy PE conditions. Therefore, the TOT model parameter estimation problem is reformulated from a system identification perspective by exploring the finite-time estimators (FTE) that accurately estimate the TOT model parameters for non-PE data from real-time operating trans-formers without DoE. The experimental analysis is carried out on MATLAB to demonstrate the identified PE problem, effect of DoE, and the performance of finite time estimators for real-time scenario-based non-PE data in thermal modeling of the transformer.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129008544","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: 7
State-of-Charge Prediction of Degrading Li-ion Batteries Using an Adaptive Machine Learning Approach 使用自适应机器学习方法预测退化锂离子电池的充电状态
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916995
Iman Babaeiyazdi, A. Rezaei-Zare, Shahab Shokrzadeh
{"title":"State-of-Charge Prediction of Degrading Li-ion Batteries Using an Adaptive Machine Learning Approach","authors":"Iman Babaeiyazdi, A. Rezaei-Zare, Shahab Shokrzadeh","doi":"10.1109/PESGM48719.2022.9916995","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916995","url":null,"abstract":"State of charge (SOC) estimation of degrading batteries is important for battery energy storage systems (BESS) employed in power system applications and electric vehicles. This paper aims to propose a comparative analysis for data-driven models such as linear regression (LR), support vector regression (SVR), random forest (RF), and Gaussian process regression (GPR) to estimate the battery SOC at various temperatures and loading levels considering the state of health (SOH) of the battery. The historical data in which the cells are degraded from SOH of 100% to 60% are employed to extract the correlated features with the SOC. The models are retrained and adaptively updated based on the new SOH and prepared to estimate the SOC at the current SOH. The results demonstrate that GPR and RF models have the best performance. The mean absolute error of less than 0.0223 and 0.0204 have been achieved for RF and GPR, respectively.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129042286","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
Game-theoretic Analysis of the Ukraine Day-ahead Electricity Market 乌克兰日前电力市场的博弈分析
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9916729
A. Suski, D. Chattopadhyay
{"title":"Game-theoretic Analysis of the Ukraine Day-ahead Electricity Market","authors":"A. Suski, D. Chattopadhyay","doi":"10.1109/PESGM48719.2022.9916729","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916729","url":null,"abstract":"Market power in concentrated wholesale markets like Ukraine can lead to inefficient price and dispatch outcomes. This paper presents an intertemporal Cournot-Nash game-theoretic equilibrium model to investigate pricing and dispatch outcomes in the Ukraine day-ahead electricity market. The gaming model in conjunction with a market-clearing model is used to first calibrate the model against the observed dispatch/prices. It is then deployed to analyze alternative market power mitigation scenarios that are compared and contrasted against a perfectly competitive benchmark. The numerical results of the analysis indicate a significant scale of the market power exercised by the strategic players in Ukraine and hence a significant departure from an efficient benchmark. There are however measures such as divesture of the dominant player and/or vesting contract that may mitigate market power.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129302923","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
Conditions for Regional Frequency Stability in Power System Scheduling 电力系统调度中区域频率稳定的条件
2022 IEEE Power & Energy Society General Meeting (PESGM) Pub Date : 2022-07-17 DOI: 10.1109/PESGM48719.2022.9917237
Luis Badesa, Fei Teng, G. Strbac
{"title":"Conditions for Regional Frequency Stability in Power System Scheduling","authors":"Luis Badesa, Fei Teng, G. Strbac","doi":"10.1109/PESGM48719.2022.9917237","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917237","url":null,"abstract":"This paper considers the phenomenon of distinct regional frequencies recently observed in some power systems. First, a reduced-order mathematical model describing this behaviour is developed. Then, techniques to solve the model are discussed, demonstrating that the post-fault frequency evolution in any given region is equal to the frequency evolution of the Centre Of Inertia plus certain inter-area oscillations. This finding leads to the deduction of conditions for guaranteeing frequency stability in all regions of a power system, a deduction performed using a mixed analytical-numerical approach that combines mathematical analysis with regression methods on simulation samples. The proposed stability conditions are linear inequalities that can be implemented in any optimisation routine allowing the co-optimisation of all existing ancillary services for frequency support: inertia, multispeed frequency response, load damping and an optimised largest power infeed. This is the first reported mathematical framework with explicit conditions to maintain frequency stability in a power system exhibiting inter-area oscillations in frequency. In Part II, we implement these conditions into a Unit Commitment for the Great Britain system, characterised by two regions that create a non-uniform distribution of inertia: England in the South, where most of the load is located, and Scotland in the North, containing significant wind resources. Through several case studies, it is shown that inertia and frequency response cannot be considered as system-wide magnitudes in power systems that exhibit inter-area oscillations in frequency, as their location in a particular region is key to guarantee stability. In addition, securing against a medium-sized loss in the low-inertia region proves to cause significant wind curtailment, which could be alleviated through reinforced transmission corridors. In this context, the proposed constraints allow to find the optimal volume of ancillary services to be procured in each region.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562079","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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