IEEE Transactions on Energy Markets, Policy and Regulation最新文献_第10页

Generator Interconnection, Network Expansion, and Energy Transition 发电机互联、网络扩展和能源转型

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-12-01 DOI: 10.1109/TEMPR.2023.3274227

Jacob Mays

{"title":"Generator Interconnection, Network Expansion, and Energy Transition","authors":"Jacob Mays","doi":"10.1109/TEMPR.2023.3274227","DOIUrl":"https://doi.org/10.1109/TEMPR.2023.3274227","url":null,"abstract":"Inefficient coordination between decentralized generation investment and centralized transmission planning is a significant barrier to achieving rapid decarbonization in liberalized electricity markets. While the optimal configuration of the transmission grid depends on the relative social costs of competing technologies, existing processes have not led to transmission expansion consistent with declines in the cost of wind and solar combined with increased estimates of the social costs of traditional thermal resources. This paper describes the negative feedback loop preventing efficient interconnection of new resources in U.S. markets, its connection to conceptual flaws in current resource adequacy constructs, and the ways in which it protects incumbent generators. To help resolve these issues, the paper recommends a shift to a “connect and manage” approach and outlines a straw proposal for a new financial right connected with transmission service. From a generator perspective, the effect of the proposed reforms is to trade highly uncertain network upgrade and congestion costs for a fixed interconnection fee. From a transmission planning perspective, the goal is to improve the quality of information about new generation included in forward-looking planning processes. Simulation on a stylized two-node system demonstrates the potential of the approach to facilitate a transition to clean technologies.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"410-419"},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138633884","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

California Test System (CATS): A Geographically Accurate Test System Based on the California Grid 加州测试系统 (CATS)：基于加州电网的地理精确测试系统

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-12-01 DOI: 10.1109/TEMPR.2023.3338568

Sofia Taylor;Aditya Rangarajan;Noah Rhodes;Jonathan Snodgrass;Bernard C. Lesieutre;Line A. Roald

引用次数: 0

Tight and Compact Data-Driven Linear Relaxations for Constraint Screening in Unit Commitment 单位承诺中用于约束筛选的紧密紧凑的数据驱动线性松弛

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-27 DOI: 10.1109/TEMPR.2023.3327903

Mohamed Awadalla;François Bouffard

{"title":"Tight and Compact Data-Driven Linear Relaxations for Constraint Screening in Unit Commitment","authors":"Mohamed Awadalla;François Bouffard","doi":"10.1109/TEMPR.2023.3327903","DOIUrl":"10.1109/TEMPR.2023.3327903","url":null,"abstract":"The daily operation of real-world power systems and their underlying markets relies on the timely solution of the unit commitment problem. However, given its computational complexity, several optimization-based methods have been proposed to lighten its problem formulation by removing redundant line flow constraints. These approaches often ignore the spatial couplings of renewable generation and demand, which have an inherent impact of market outcomes. Moreover, the elimination procedures primarily focus on the feasible region and exclude how the problem's objective function plays a role here. To address these pitfalls, we move to rule out \u0000<italic>redundant</i>\u0000 and \u0000<italic>inactive</i>\u0000 constraints over a tight linear programming relaxation of the original unit commitment feasibility region by adding valid inequality constraints. We extend the optimization-based approach called \u0000<italic>umbrella constraint discovery</i>\u0000 through the enforcement of a consistency logic on the set of constraints by adding the proposed inequality constraints to the formulation. Hence, we reduce the conservativeness of the screening approach using the available historical data and thus lead to a tighter unit commitment formulation. Numerical tests are performed on standard test networks to substantiate the effectiveness of the proposed approach.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"63-78"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135213256","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

Quantifying Benefit of Well-Located Distributed Energy Resources 量化位置良好的分布式能源资源的效益

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-16 DOI: 10.1109/TEMPR.2023.3324630

Eo Jin Choi;Ji Woo Lee;Dam Kim;Gab-Su Seo;Seung Wan Kim

{"title":"Quantifying Benefit of Well-Located Distributed Energy Resources","authors":"Eo Jin Choi;Ji Woo Lee;Dam Kim;Gab-Su Seo;Seung Wan Kim","doi":"10.1109/TEMPR.2023.3324630","DOIUrl":"10.1109/TEMPR.2023.3324630","url":null,"abstract":"In recent years, there has been a global acceleration in the adoption of distributed energy resources (DERs), due to their potential to decrease net demand and minimize costs associated with transmission and distribution networks. In practice, however, many of them are not situated in load areas, but in remote areas for return of investment, i.e., mostly characterized by high solar radiation, abundant wind resources, and relatively low land-use fees. As a result, the locational mismatches can lead to excessive network construction, significant congestion, and loss costs. To achieve cost-effective grid operation and planning results, it is crucial to locate DERs considering their system level impacts. Since the locational benefits of DERs are not fully assessed for and reflected in their field deployment process today, DERs are not induced to the appropriate sites. To fill this gap, this study quantifies the benefits of diverse DER deployment scenarios using Monte Carlo simulations and provides policy recommendations for utilities and authorities. To estimate the benefits, we conducted a long-term analysis using the transmission expansion planning approach and a short-term analysis based on the optimal power flow methodology. The proposed analysis reveals that the upper 10% scenario of the experimental group with better DER locations can achieve 27% cost reduction than that of the control group. The noteworthy improvement of the well-located scenario for the same amount of DER deployment accounts for a benefit of $1519M in the Korean power system case study.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"92-106"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10286304","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136373997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Timescale Operation Strategy for Battery Storage in Joint Frequency and Energy Markets 联合频率和能源市场中的电池储能双时标运行策略

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-16 DOI: 10.1109/TEMPR.2023.3324920

Qianli Ma;Wei Wei;Shengwei Mei

{"title":"A Two-Timescale Operation Strategy for Battery Storage in Joint Frequency and Energy Markets","authors":"Qianli Ma;Wei Wei;Shengwei Mei","doi":"10.1109/TEMPR.2023.3324920","DOIUrl":"10.1109/TEMPR.2023.3324920","url":null,"abstract":"The growing penetration of renewable energy in modern power systems requires energy storage to take on more responsibilities in multiple regulation services. Battery energy storage system (BESS) possesses fast response capability and is suitable to shave peak demand and provide frequency support. This article studies coordinated bidding strategies of BESS in frequency regulation and energy markets. Challenge arises from the fact that frequency control and energy arbitrage actions are taken in different timescales, and the capacity used in either market affects the available capacity and revenue in the other one. This article proposes a two-timescale decision framework, offering the hourly base-power bid in the energy market and capacity bid in the frequency regulation market, as well as real-time responses to the automatic generation control (AGC) signal every few seconds. In the fine timescale, we employ a threshold policy to generate AGC response accounting for battery lifespan. In the coarse timescale, we establish a stochastic dynamic programming model and optimize the bidding policy without exact forecasts of market prices. To solve the stochastic dynamic programming model online, a simulation-based policy improvement method is developed to approximate the state-action value function using a heuristic base policy. The performance improvement property brought by simulation is theoretically proven. We carry out comprehensive case studies to validate the effectiveness of the proposed method and analyze the economic impact of electricity prices and battery \u0000<inline-formula><tex-math>$E/P$</tex-math></inline-formula>\u0000 ratio. Empirical tests show that with an \u0000<inline-formula><tex-math>$E/P$</tex-math></inline-formula>\u0000 ratio of 3\u0000<inline-formula><tex-math>$sim$</tex-math></inline-formula>\u00005, the BESS gains a higher net revenue across the lifespan.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"200-213"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136373023","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

Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework 在当地市场框架内，经济高效地确定社区电池的规模和运行方式

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-16 DOI: 10.1109/TEMPR.2023.3324798

Nam Trong Dinh;Sahand Karimi-Arpanahi;S. Ali Pourmousavi;Mingyu Guo;Jon Anders Reichert Liisberg

{"title":"Cost-Effective Community Battery Sizing and Operation Within a Local Market Framework","authors":"Nam Trong Dinh;Sahand Karimi-Arpanahi;S. Ali Pourmousavi;Mingyu Guo;Jon Anders Reichert Liisberg","doi":"10.1109/TEMPR.2023.3324798","DOIUrl":"10.1109/TEMPR.2023.3324798","url":null,"abstract":"Extreme peak power demand is a major factor behind high electricity prices, despite occurring only for a few hours annually. This peak demand drives the need for costly upgrades for the network asset, which is ultimately passed on to the end-users through higher electricity network tariffs. To alleviate this issue, we propose a solution for cost-effective peak demand reduction in a local neighbourhood using prosumer-centric flexibility and community battery storage (CBS). Accordingly, we present a CBS sizing framework for peak demand reduction considering receding horizon operation and a bilevel program in which a profit-making entity (leader) operates the CBS and dynamically sets mark-up prices. Through the dynamic mark-up and real-time wholesale market prices, the CBS operator can harness the demand-side flexibility provided by the load-shifting behaviour of the local prosumers (followers). To this end, we develop a realistic price-responsive model that adjusts prosumers' behaviour with respect to fluctuations of dynamic prices while considering prosumers' discomfort caused by load shifting. The simulation results based on real-world data show that adopting the proposed framework and the price-responsive model not only increases the CBS owner's profit but also reduces peak demand and prosumers' electricity bills by 38% and 24%, respectively.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"536-548"},"PeriodicalIF":0.0,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136374260","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

Transmission Investment Coordination Using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle 利用 MILP 拉格朗日二元分解和辅助问题原理进行输电投资协调

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-12 DOI: 10.1109/TEMPR.2023.3323944

Sambuddha Chakrabarti;Hosna Khajeh;Thomas R Nudell;Mohammad Reza Hesamzadeh;Ross Baldick

{"title":"Transmission Investment Coordination Using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle","authors":"Sambuddha Chakrabarti;Hosna Khajeh;Thomas R Nudell;Mohammad Reza Hesamzadeh;Ross Baldick","doi":"10.1109/TEMPR.2023.3323944","DOIUrl":"10.1109/TEMPR.2023.3323944","url":null,"abstract":"This article considers the investment coordination problem for the long term transmission capacity expansion in a situation where there are multiple regional Transmission Planners (TPs), each acting in order to maximize the utility in only its own region. In such a setting, any particular TP does not normally have any incentive to cooperate with the neighboring TP(s), although the optimal investment decision of each TP is contingent upon those of the neighboring TPs. A game-theoretic interaction among the TPs does not necessarily lead to this overall social optimum. We, therefore, introduce a social planner and call it the Transmission Planning Coordinator (TPC) whose goal is to attain the optimal possible social welfare for the bigger geographical region. In order to achieve this goal, this article introduces a new incentive mechanism, based on distributed optimization theory. This incentive mechanism can be viewed as a set of rules of the transmission expansion investment coordination game, set by the social planner TPC, such that, even if the individual TPs act selfishly, it will still lead to the TPC's goal of attaining overall social optimum. Finally, the effectiveness of our approach is demonstrated through several simulation studies.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"52-62"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136303221","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

Financial Risk and Resource Adequacy in Markets With High Renewable Penetration 可再生能源渗透率高的市场中的财务风险和资源充足性

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-06 DOI: 10.1109/TEMPR.2023.3322531

Jacob Mays;Jesse D. Jenkins

{"title":"Financial Risk and Resource Adequacy in Markets With High Renewable Penetration","authors":"Jacob Mays;Jesse D. Jenkins","doi":"10.1109/TEMPR.2023.3322531","DOIUrl":"10.1109/TEMPR.2023.3322531","url":null,"abstract":"This article considers the evolution of electricity market design as systems shift toward carbon-free technologies. Growth in wind and solar generation is likely to lead to increased price volatility on diurnal and seasonal timescales. In the standard risk-neutral optimization framework, volatility does not pose any theoretical issues for market design. Because revenue volatility has the potential to lead to a higher cost of capital for investments in competitive markets, however, many observers have questioned the viability of competitive models for resource adequacy as wind and solar grow in importance. To assess the role of risk management in overall market performance, we construct a stochastic equilibrium model incorporating financial entities as hedge providers for investors in generation capacity. Unlike in the standard optimization framework, the cost of capital in the equilibrium framework is endogenously determined by interannual revenue volatility and the risk measures used by market participants. Surprisingly, exploratory numerical tests suggest that overall investment risk may be lower in systems dominated by variable renewables due to reduced exposure to fuel price uncertainty. However, changes in investment risk are not uniform across resource types, and increased risk for peaking and backup resources contributes to lower reliability in the modeled future systems.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"1 4","pages":"523-535"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136007780","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

Manipulation-Proof Virtual Bidding Mechanism Design 防操纵虚拟竞价机制设计

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-10-03 DOI: 10.1109/TEMPR.2023.3321649

Chenbei Lu;Jinhao Liang;Nan Gu;Haoxiang Wang;Chenye Wu

{"title":"Manipulation-Proof Virtual Bidding Mechanism Design","authors":"Chenbei Lu;Jinhao Liang;Nan Gu;Haoxiang Wang;Chenye Wu","doi":"10.1109/TEMPR.2023.3321649","DOIUrl":"10.1109/TEMPR.2023.3321649","url":null,"abstract":"The high penetration of renewable energy increases the price volatility between the day-ahead (DA) and real-time (RT) markets, with heightened power system operational risks. Virtual bidding, a rising financial instrument, allows financial entities without energy-generating capacity or demand to arbitrage between the DA and RT markets, which can in turn reduce the market spread between the two markets and thus contain system operation risks. However, in practice, incomplete information often affects the effectiveness of virtual bidding, which poses uncertainties to strategic bidding behaviors, and makes it more challenging to understand the market manipulation. To control such risks, in this paper, we first game theoretically characterize the Nash Equilibrium of virtual bidding with both complete and incomplete information, and evaluate the benefits of virtual bidding for both virtual bidders (VBs) and the system as a whole. Then, we design a joint tax-subsidy mechanism for VBs with truthfulness and individual rationality guarantees against the market manipulation. We also prove that the system average forecast is the key to influencing the virtual bidding equilibrium. Further, we design two information mechanisms to enable VB privacy protection and market risk control separately. Numerical studies based on ISO-NE electricity market data verify our theory.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 1","pages":"119-131"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135913862","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

On the Primal UC Formulation Dependence of Convex Hull Pricing 论凸壳定价的顶点 UC 格式依赖性

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2023-09-28 DOI: 10.1109/TEMPR.2023.3319159

Feng Zhao;Dane Schiro;Jinye Zhao;Tongxin Zheng;Eugene Litvinov

引用次数: 0