IEEE Transactions on Energy Markets, Policy and Regulation最新文献_第8页

Impact of Network Tariffs and Electricity Prices on the Investment Decisions for PV-Battery Systems 电网电价和电力价格对光伏电池系统投资决策的影响

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-20 DOI: 10.1109/TEMPR.2024.3367546

Jolien Despeghel;Johan Driesen

{"title":"Impact of Network Tariffs and Electricity Prices on the Investment Decisions for PV-Battery Systems","authors":"Jolien Despeghel;Johan Driesen","doi":"10.1109/TEMPR.2024.3367546","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3367546","url":null,"abstract":"This paper aims to assess the impact of a volumetric and a capacity-based network tariff, as well as the impact of a substantial electricity price increase on the decision of a household to invest in a PV-battery system. Therefore, a convex optimization model is implemented which returns the optimal sizing and operation from the households' perspective by minimizing the equivalent annual cost. Based on the analysis of the optimal PV-battery system for 200 households under four scenarios, this study found that the investment driver of a household changes from minimizing grid withdrawal to maximizing grid feed-in when the feed-in remuneration increases, as well as the maximization of the installed PV capacity. In addition, the price increase leads to a net profit as opposed to a reduced cost. The shift from a volumetric to a capacity-based tariff leads to a smaller gap between the consumers' and prosumers' contribution to the distribution grid costs, increasing fairness. However, the contributions could be insufficient to ensure adequate cost recovery, requiring possible adjustment of the tariff height by the DSO. Finally, policy makers need to be aware that a capacity-based tariff leads to a lower reduction of carbon emissions as opposed to a volumetric tariff.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"175-185"},"PeriodicalIF":0.0,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319612","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

Electricity Retail Plan Recommendation Method Based on Multigranular Hesitant Fuzzy Sets and an Improved Non-Negative Latent Factor Model 基于多粒度犹豫模糊集和改进的非负潜因模型的电力零售计划推荐方法

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-16 DOI: 10.1109/TEMPR.2024.3366528

Yuanqian Ma;Ruinan Zheng;Yuhao Lu;Zhi Zhang;Yunchu Wang;Zhenzhi Lin;Li Yang;Hongle Liang;Peter Xiaoping Liu

{"title":"Electricity Retail Plan Recommendation Method Based on Multigranular Hesitant Fuzzy Sets and an Improved Non-Negative Latent Factor Model","authors":"Yuanqian Ma;Ruinan Zheng;Yuhao Lu;Zhi Zhang;Yunchu Wang;Zhenzhi Lin;Li Yang;Hongle Liang;Peter Xiaoping Liu","doi":"10.1109/TEMPR.2024.3366528","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3366528","url":null,"abstract":"Electricity retail companies can derive significant benefits from precise recommendations of electricity retail plans (ERPs). However, existing recommendation methods often assume that customers are proficient in evaluating all the attributes of ERPs, and overlook the fact that the accuracy of predicting missing information is closely tied to the objective function of customers’ satisfaction, which degrades the recommendation results significantly. In light of the challenge, an ERP recommendation method based on multigranular hesitant fuzzy sets (MHFSs) and an improved non-negative latent factor model (INLFM) is proposed. First, a quantitative model for customer satisfaction based on MHFSs is established, which provides a foundation for estimating target customers’ satisfaction. Secondly, an INLFM-based prediction model is developed to fill in the missing values of customers’ satisfaction. Additionally, an estimation model for target customer satisfaction based on a customer portrait label system and a dual-layer affinity propagation (DLAP) clustering algorithm is proposed, and a top-H ERPs recommendation method is developed, facilitating precise ERP recommendation tailored to the needs of electricity retail company. Finally, case studies on customers in a high-tech development zone in eastern China show that the proposed method can characterize customers’ satisfaction more accurately and equitably, meanwhile reduce the recommendation deviation effectively.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"146-161"},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319683","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

How to Assess Uncertainty-Aware Frameworks for Power System Planning? 如何评估电力系统规划的不确定性感知框架？

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-14 DOI: 10.1109/TEMPR.2024.3365977

Elina Spyrou;Ben Hobbs;Deb Chattopadhyay;Neha Mukhi

{"title":"How to Assess Uncertainty-Aware Frameworks for Power System Planning?","authors":"Elina Spyrou;Ben Hobbs;Deb Chattopadhyay;Neha Mukhi","doi":"10.1109/TEMPR.2024.3365977","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3365977","url":null,"abstract":"Computational advances along with the profound impact of uncertainty on power system investments have motivated the creation of power system planning frameworks that handle long-run uncertainty, large number of alternative plans, and multiple objectives. Planning agencies seek guidance to assess such frameworks. This article addresses this need in two ways. First, we augment previously proposed criteria for assessing planning frameworks by including new criteria such as stakeholder acceptance to make the assessments more comprehensive, while enhancing the practical applicability of assessment criteria by offering criterion-specific themes and questions. Second, using the proposed criteria, we compare two widely used but fundamentally distinct frameworks: an ‘agree-on-plans’ framework, Robust Decision Making (RDM), and an ‘agree-on-assumptions’ framework, centered around Stochastic Programming (SP). By comparing for the first time head-to-head the two distinct frameworks for an electricity supply planning problem under uncertainties in Bangladesh, we conclude that RDM relies on a large number of simulations to provide ample information to decision makers and stakeholders, and to facilitate updating of subjective inputs. In contrast, SP is a highly dimensional optimization problem that identifies plans with relatively good probability-weighted performance in a single step, but even with computational advances remains subject to the curse of dimensionality.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 4","pages":"436-448"},"PeriodicalIF":0.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142810690","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

A Strengthened Primal-Dual Decomposition Algorithm for Solving Electricity Market Pricing With Revenue-Adequacy and FFR Constraints 解决具有收入充足性和财务自由度约束的电力市场定价问题的强化原语-双重分解算法

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-07 DOI: 10.1109/TEMPR.2024.3363371

Hamed Goudarzi;Mohammad Reza Hesamzadeh;Derek Bunn;Mahmud Fotuhi-Firuzabad;Mohammad Shahidehpour

{"title":"A Strengthened Primal-Dual Decomposition Algorithm for Solving Electricity Market Pricing With Revenue-Adequacy and FFR Constraints","authors":"Hamed Goudarzi;Mohammad Reza Hesamzadeh;Derek Bunn;Mahmud Fotuhi-Firuzabad;Mohammad Shahidehpour","doi":"10.1109/TEMPR.2024.3363371","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3363371","url":null,"abstract":"This paper develops a new decomposition algorithm for solving Electricity Market Pricing (EMP) problem, taking into account both revenue-adequacy and Fast Frequency Reserve (FFR) constraints. Due to revenue-adequacy constraint, a bilevel model of the EMP problem is introduced (BL-EMP). The upper level of the BL-EMP model represents the non-convex unit commitment (UC) decisions as well as the revenue-adequacy constraints of the market participants (generators, loads, and battery-storage owner). The lower level is a convex economic dispatch model with FFR constraint. To tackle the computational complexity of the considered BL-EMP model, this paper develops, tests, and proposes a Strengthened Primal-Dual Decomposition (SPDD) algorithm, which takes benefits from both Benders-like and Lagrange Dual-like algorithms. The new SPDD algorithm has a series of interesting computational properties, which are theoretically discussed in the paper. The SPDD algorithm has better computational performance than standard Benders decomposition algorithm and it also does not need tuning of the Big-M (or disjunctive) parameters for solving the proposed BL-EMP problem. Results from the modified IEEE 24-bus, the IEEE 118-bus, and the IEEE 300-bus system show the superiority of proposed SPDD algorithm over the classic Benders algorithm.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"379-391"},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142172632","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

Optimal Electricity Procurement Enabled by Privacy-Preserving Samples 通过保护隐私的样本优化电力采购

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-05 DOI: 10.1109/TEMPR.2024.3361873

Wenqian Jiang;Chenye Wu

引用次数: 0

Towards Distributed Energy Markets: Accurate and Intuitive DLMP Decomposition 迈向分布式能源市场：准确直观的 DLMP 分解

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-02-01 DOI: 10.1109/TEMPR.2024.3360996

Carmen Bas Domenech;James Naughton;Shariq Riaz;Pierluigi Mancarella

{"title":"Towards Distributed Energy Markets: Accurate and Intuitive DLMP Decomposition","authors":"Carmen Bas Domenech;James Naughton;Shariq Riaz;Pierluigi Mancarella","doi":"10.1109/TEMPR.2024.3360996","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3360996","url":null,"abstract":"Distributed energy markets (DEM) have emerged to efficiently integrate distributed energy resources (DER) in power systems, applying the principles from wholesale energy markets and generating distribution locational marginal prices (DLMPs). In this paper we introduce a novel DLMP decomposition that provides fundamental insights into the relationship between DLMPs and wholesale market prices, active and reactive power injections, thermal and voltage constraints, and losses. The DLMP decomposition is based on an exact second order cone optimal power flow (SOC-OPF) using an iterative algorithm to accurately and efficiently compute DLMP, including instances with negative prices, when generally SOC-OPF is not exact. The salient features of the proposed DLMP decomposition are demonstrated in different DEM applications using a 2-bus canonical example and a 34-bus medium voltage test network. By revealing the underlying drivers of electricity prices at distribution level, the proposed DLMP decomposition initiates crucial discussions on DEM, setting the foundations for further DEM developments.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 2","pages":"240-253"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319682","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

Market Equilibria in Cross-Border Balancing Platforms 跨境平衡平台的市场平衡

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-01-31 DOI: 10.1109/TEMPR.2024.3360475

Jacques Cartuyvels;Gilles Bertrand;Anthony Papavasiliou

引用次数: 0

Cost Allocation for Inertia and Frequency Response Ancillary Services 惯性和频率响应辅助服务的成本分配

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-01-17 DOI: 10.1109/TEMPR.2024.3355291

Carlos Matamala;Luis Badesa;Rodrigo Moreno;Goran Strbac

{"title":"Cost Allocation for Inertia and Frequency Response Ancillary Services","authors":"Carlos Matamala;Luis Badesa;Rodrigo Moreno;Goran Strbac","doi":"10.1109/TEMPR.2024.3355291","DOIUrl":"https://doi.org/10.1109/TEMPR.2024.3355291","url":null,"abstract":"The reduction in system inertia is creating an important market for frequency-containment Ancillary Services (AS) such as enhanced frequency response (e.g., provided by battery storage), traditional primary frequency response and inertia itself. This market presents an important difference with the energy market: while the need for energy production is driven by the demand from consumers, frequency-containment AS are procured because of the need to deal with the largest generation/demand loss in the system (or smaller losses that could potentially compromise frequency stability). Thus, a question that arises is: who should pay for frequency-containment AS? In this work, we propose a cost-allocation methodology based on the nucleolus concept, in order to distribute the total payments for frequency-containment AS among all generators or loads that create the need for these services. It is shown that this method complies with necessary properties for the AS market, such as avoidance of cross-subsidies and maintaining players in this cooperative game. Finally, we demonstrate its practical applicability through a case study for the Great Britain power system, while comparing its performance with two alternative mechanisms, namely proportional and Shapley value cost allocation.","PeriodicalId":100639,"journal":{"name":"IEEE Transactions on Energy Markets, Policy and Regulation","volume":"2 3","pages":"328-338"},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142171568","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 Net Metering for Energy Communities 能源社区的动态净计量

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-01-15 DOI: 10.1109/TEMPR.2024.3354162

Ahmed S. Alahmed;Lang Tong

引用次数: 0

Screening Curve Method for Economic Analysis of Household Solar Energy Self-Consumption 家庭太阳能自我消费经济分析筛选曲线法

IEEE Transactions on Energy Markets, Policy and Regulation Pub Date : 2024-01-10 DOI: 10.1109/TEMPR.2024.3350051

Hikaru Hoshino;Yosuke Irie;Eiko Furutani

引用次数: 0