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Cooperative load scheduling for multiple aggregators using hierarchical admm : preprint / / Xiangyu Zhang, Dave Biagioni, Peter Graf, and Jennifer King
| Cooperative load scheduling for multiple aggregators using hierarchical admm : preprint / / Xiangyu Zhang, Dave Biagioni, Peter Graf, and Jennifer King |
| Autore | Zhang Xiangyu |
| Pubbl/distr/stampa | Golden, CO : , : National Renewable Energy Laboratory, , 2020 |
| Descrizione fisica | 1 online resource (5 pages) : color illustrations |
| Collana | NREL/CP |
| Soggetto topico |
Demand-side management (Electric utilities)
Algorithms Electric power distribution - United States |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Cooperative load scheduling for multiple aggregators using hierarchical admm |
| Record Nr. | UNINA-9910713966603321 |
Zhang Xiangyu
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| Golden, CO : , : National Renewable Energy Laboratory, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electricity markets [[electronic resource] ] : consumers could benefit from demand programs, but challenges remain : report to the Chairman, Committee on Governmental Affairs, U.S. Senate
| Electricity markets [[electronic resource] ] : consumers could benefit from demand programs, but challenges remain : report to the Chairman, Committee on Governmental Affairs, U.S. Senate |
| Pubbl/distr/stampa | [Washington, D.C.] : , : U.S. Government Accountability Office, , [2004] |
| Soggetto topico |
Demand-side management (Electric utilities)
Electric power distribution - United States - Evaluation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Electricity markets |
| Record Nr. | UNINA-9910693065403321 |
| [Washington, D.C.] : , : U.S. Government Accountability Office, , [2004] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Electricity markets, demand-reponse activities have increased, but FERC could improve data collection and reporting efforts : report to congressional requesters
| Electricity markets, demand-reponse activities have increased, but FERC could improve data collection and reporting efforts : report to congressional requesters |
| Pubbl/distr/stampa | [Washington, D.C.] : , : United States Government Accountability Office, , 2014 |
| Descrizione fisica | 1 online resource (ii, 60 pages) : color illustrations, color map |
| Soggetto topico |
Demand-side management (Electric utilities)
Electric power distribution - United States - Evaluation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Electricity markets, demand-reponse activities have increased, but FERC could improve data collection and reporting efforts |
| Record Nr. | UNINA-9910702784703321 |
| [Washington, D.C.] : , : United States Government Accountability Office, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integration of demand response into the electricity chain : challenges, opportunities, and smart grid solutions / / Arturo Losi, Pierluigi Mancarella, Antonio Vicino
| Integration of demand response into the electricity chain : challenges, opportunities, and smart grid solutions / / Arturo Losi, Pierluigi Mancarella, Antonio Vicino |
| Autore | Losi Arturo |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina | 621.31 |
| Collana | Electrical engineering series |
| Soggetto topico |
Smart power grids
Electric utilities - Cost effectiveness Demand-side management (Electric utilities) |
| ISBN |
1-119-24558-3
1-119-24559-1 1-119-24563-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Table of Contents; Title; Copyright; Preface; List of Acronyms; 1: Demand Response in Smart Grids; 1.1. Introduction; 1.2. Background on demand side management and demand response; 1.3. Benefits offered by demand-side management; 1.4. Types of demand response programs; 1.5. Demand response performance, measurement and verification; 1.6. The challenges: aligning economics and intelligence; 1.7. Bibliography; 2: Active Consumer Characterization and Aggregation; 2.1. Introduction; 2.2. Overview of the interaction between aggregator and other system players
2.3. Consumption modeling and flexibility forecasting2.4. Algorithms for electricity market price forecasting; 2.5. Optimization algorithm for designing demand response-based offers for the market; 2.6. Software architecture of the aggregator toolbox; 2.7. Numerical results on simulation experiments; 2.8. Bibliography; 3: Distributed Intelligence at the Consumer's Premises; 3.1. Introduction; 3.2. Functional architecture; 3.3. Software architecture; 3.4. Classification of distributed energy resources; 3.5. Optimization algorithm for appliance scheduling 3.6. Results on testing the implementation of the software architecture3.7. Bibliography; 4: Distribution Control Center: New Requirements and Functionalities; 4.1. Introduction; 4.2. Functional specifications, including strategies; 4.3. Architectures of distribution system automation and control; 4.4. Active and reactive power control in medium-voltage active distribution grids; 4.5. Validation of demand response products; 4.6. New operational planning applications for the medium-voltage control center; 4.7. Bibliography 5: Distribution Network Representation in the Presence of Demand Response5.1. Introduction; 5.2. Requirements for distribution network monitoring and control; 5.3. Load areas; 5.4. Load areas: study cases; 5.5. Appendix: active-reactive relationships; 5.6. Bibliography; 6: Communication Needs and Solutions for the Deployment of Demand Response; 6.1. Introduction; 6.2. Requirements; 6.3. Network architecture and communication technologies; 6.4. A communications solution for demand response; 6.5. Summary on communications for demand response; 6.6. Bibliography 7: System-level Benefits of Demand Response7.1. Introduction; 7.2. System benefits; 7.3. Review of system benefits; 7.4. Summary; 7.5. Bibliography; 8: Techno-economic Analysis of Demand Response; 8.1. Introduction; 8.2. Techno-economic analysis: identification of potential business cases for demand response in a networked business; 8.3. Techno-economic analysis of demand response: examples; 8.4. Conclusions; 8.5. Bibliography; 9: Socioeconomic Aspects of Demand Response; 9.1. Introduction; 9.2. Social aspects of demand response 9.3. Key elements of the ADDRESS project from the perspectives of participants |
| Record Nr. | UNINA-9910131536203321 |
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Losi Arturo
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| Hoboken, NJ : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Integration of demand response into the electricity chain : challenges, opportunities, and smart grid solutions / / Arturo Losi, Pierluigi Mancarella, Antonio Vicino
| Integration of demand response into the electricity chain : challenges, opportunities, and smart grid solutions / / Arturo Losi, Pierluigi Mancarella, Antonio Vicino |
| Autore | Losi Arturo |
| Pubbl/distr/stampa | Hoboken, NJ : , : Wiley, , 2015 |
| Descrizione fisica | 1 online resource (287 p.) |
| Disciplina | 621.31 |
| Collana | Electrical engineering series |
| Soggetto topico |
Smart power grids
Electric utilities - Cost effectiveness Demand-side management (Electric utilities) |
| ISBN |
1-119-24558-3
1-119-24559-1 1-119-24563-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Table of Contents; Title; Copyright; Preface; List of Acronyms; 1: Demand Response in Smart Grids; 1.1. Introduction; 1.2. Background on demand side management and demand response; 1.3. Benefits offered by demand-side management; 1.4. Types of demand response programs; 1.5. Demand response performance, measurement and verification; 1.6. The challenges: aligning economics and intelligence; 1.7. Bibliography; 2: Active Consumer Characterization and Aggregation; 2.1. Introduction; 2.2. Overview of the interaction between aggregator and other system players
2.3. Consumption modeling and flexibility forecasting2.4. Algorithms for electricity market price forecasting; 2.5. Optimization algorithm for designing demand response-based offers for the market; 2.6. Software architecture of the aggregator toolbox; 2.7. Numerical results on simulation experiments; 2.8. Bibliography; 3: Distributed Intelligence at the Consumer's Premises; 3.1. Introduction; 3.2. Functional architecture; 3.3. Software architecture; 3.4. Classification of distributed energy resources; 3.5. Optimization algorithm for appliance scheduling 3.6. Results on testing the implementation of the software architecture3.7. Bibliography; 4: Distribution Control Center: New Requirements and Functionalities; 4.1. Introduction; 4.2. Functional specifications, including strategies; 4.3. Architectures of distribution system automation and control; 4.4. Active and reactive power control in medium-voltage active distribution grids; 4.5. Validation of demand response products; 4.6. New operational planning applications for the medium-voltage control center; 4.7. Bibliography 5: Distribution Network Representation in the Presence of Demand Response5.1. Introduction; 5.2. Requirements for distribution network monitoring and control; 5.3. Load areas; 5.4. Load areas: study cases; 5.5. Appendix: active-reactive relationships; 5.6. Bibliography; 6: Communication Needs and Solutions for the Deployment of Demand Response; 6.1. Introduction; 6.2. Requirements; 6.3. Network architecture and communication technologies; 6.4. A communications solution for demand response; 6.5. Summary on communications for demand response; 6.6. Bibliography 7: System-level Benefits of Demand Response7.1. Introduction; 7.2. System benefits; 7.3. Review of system benefits; 7.4. Summary; 7.5. Bibliography; 8: Techno-economic Analysis of Demand Response; 8.1. Introduction; 8.2. Techno-economic analysis: identification of potential business cases for demand response in a networked business; 8.3. Techno-economic analysis of demand response: examples; 8.4. Conclusions; 8.5. Bibliography; 9: Socioeconomic Aspects of Demand Response; 9.1. Introduction; 9.2. Social aspects of demand response 9.3. Key elements of the ADDRESS project from the perspectives of participants |
| Record Nr. | UNINA-9910812508803321 |
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Losi Arturo
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| Hoboken, NJ : , : Wiley, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modelling and analysing the market integration of flexible demand and storage resources / / Ye Yujian
| Modelling and analysing the market integration of flexible demand and storage resources / / Ye Yujian |
| Autore | Yujian Ye |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (188 pages) |
| Disciplina | 333.7932015118 |
| Soggetto topico |
Demand-side management (Electric utilities)
Electric power systems - Mathematical models Energy industries |
| ISBN |
9789811919640
9789811919633 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Abbreviations -- 1 Introduction -- 1.1 Monograph Context -- 1.2 Monograph Motivation -- 1.2.1 Role of Flexible Demand and Energy Storage in the Emerging Power System Setting -- 1.2.2 Market-Based Realization of Flexible Demand and Energy Storage Flexibility -- 1.3 Monograph Scope and Original Contributions -- 1.3.1 Monograph Scope -- 1.3.2 Monograph Original Contributions -- 1.4 Monograph Outline -- References -- 2 Current Trends on Market Integration of Flexible Demand and Energy Storage -- 2.1 Introduction -- 2.2 Modelling Approaches for Flexible Demand and Energy Storage -- 2.3 Market Arrangements for Flexible Demand and Energy Storage -- 2.3.1 Centralized Market Clearing Mechanism -- 2.3.2 Decentralized Dynamic Pricing-Based Mechanism -- 2.4 Participation of Flexible Demand and Energy Storage in Different Market Segments -- 2.5 Centralized Market Clearing Mechanism with Flexible Demand and Energy Storage Participation -- 2.5.1 Assumptions on Examined Electricity Market Model -- 2.5.2 Model of Centralized Market Clearing Mechanism -- References -- 3 Factoring Flexible Demand Non-convexities in Electricity Markets -- 3.1 Introduction -- 3.2 Literature Review -- 3.3 Centralized Market Clearing Under Flexible Demand Participation -- 3.3.1 Modelling Generation Participants -- 3.3.2 Modelling Flexible Demand Participants -- 3.3.3 Centralized Market Clearing Solutions -- 3.4 Surplus Sub-Optimality Effects and Their Relation to Participants' Non-convexities -- 3.4.1 Surplus Sub-Optimality -- 3.4.2 Generation Non-Convexities and Impact on Surplus Optimality -- 3.4.3 Flexible Demand Non-convexities and Impact on Surplus Optimality -- 3.5 Generalized Uplifts Under Flexible Demand Participation -- 3.5.1 Lump-Sum Uplifts -- 3.5.2 Generalized Uplifts -- 3.5.3 Formulation of Minimum Discrimination Problem.
3.5.4 Solution Techniques of the Minimum Discrimination Problem -- 3.6 Convex Hull Pricing Under Flexible Demand Participation -- 3.6.1 Concept of Convex Hull Pricing -- 3.6.2 Lagrangian Formulation of Convex Hull Pricing Problem -- 3.6.3 Solution Techniques of the Lagrangian Dual Problem -- 3.7 Case Studies -- 3.7.1 Test Data and Implementation -- 3.7.2 Impact of Flexible Demand Non-Convexities -- 3.7.3 Generalized Uplift Approach -- 3.7.4 Convex Hull Pricing Approach -- 3.8 Conclusions -- References -- 4 Investigating the Impact of Flexible Demand and Energy Storage on the Exercise of Market Power by Strategic Producers in Imperfect Electricity Markets -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 Modelling Imperfect Markets with Strategic Electricity Producers -- 4.2.2 Generation Market Power Mitigation -- 4.3 Modelling Market Participants -- 4.3.1 Strategic Generation Participants -- 4.3.2 Demand Participants -- 4.3.3 Energy Storage -- 4.4 Theoretical Analysis of Impact of Demand Side and Energy Storage on Market Power -- 4.4.1 Impact of Demand Own-Price Elasticity -- 4.4.2 Impact of Demand Shifting and Energy Storage -- 4.5 Modelling Oligopolistic Electricity Markets with Demand Shifting and Energy Storage -- 4.5.1 Bi-Level Optimization Model -- 4.5.2 MPEC Formulation -- 4.5.3 MILP Formulation -- 4.5.4 Determining the Oligopolistic Market Equilibrium -- 4.6 Case Studies -- 4.6.1 Test Data and Implementation -- 4.6.2 Impact of Demand Shifting and Energy Storage: Uncongested Network -- 4.6.3 Impact of Demand Shifting and Energy Storage: Congested Network -- 4.7 Conclusions -- References -- 5 Investigating the Exercise of Market Power by Strategic Flexible Demand and Energy Storage in Imperfect Electricity Markets -- 5.1 Introduction -- 5.2 Literature Review -- 5.2.1 Modelling Strategic Behaviour of Demand Participants. 5.2.2 Modelling Strategic Behaviour of Energy Storage Participants -- 5.3 Modelling Market Participants -- 5.3.1 Generation Participants -- 5.3.2 Demand Participants -- 5.3.3 Strategic Energy Storage -- 5.4 Qualitative Analysis of Demand Side and Energy Storage Market Power Capability -- 5.4.1 Market Power Potential of the Demand Side -- 5.4.2 Market Power Potential of Energy Storage -- 5.5 Optimizing Capacity Withholding Strategies of Energy Storage -- 5.5.1 Bi-Level Optimization Model -- 5.5.2 MPEC Formulation -- 5.5.3 MILP Formulation -- 5.6 Case Studies -- 5.6.1 Test Data and Implementation -- 5.6.2 Quantifying the Optimal Extent of Capacity Withholding by Energy Storage -- 5.6.3 Impact of Storage Size -- 5.6.4 Impact of the Characteristics of the Demand Side -- 5.6.5 Impact of the Characteristics of Wind Generation -- 5.6.6 Impact of Storage Location -- 5.7 Conclusions -- References -- 6 Conclusions and Future Work -- 6.1 Conclusions -- 6.2 Further Work -- 6.2.1 Modelling and Pricing Flexible Demand Non-convexities -- 6.2.2 Modelling and Analysing the Role of Flexible Demand and Energy Storage in Imperfect Markets -- References -- Appendix A Convexity Principles -- Appendix B Lagrangian Formulation of Convex Hull Pricing Problem -- References. |
| Record Nr. | UNINA-9910585782103321 |
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Yujian Ye
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| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Using utility load data to estimate demand for space cooling and potential for shiftable loads [[electronic resource] /] / Paul Denholm, Sean Ong, and Chuck Booten
| Using utility load data to estimate demand for space cooling and potential for shiftable loads [[electronic resource] /] / Paul Denholm, Sean Ong, and Chuck Booten |
| Autore | Denholm P (Paul) |
| Pubbl/distr/stampa | Golden, Colo. : , : National Renewable Energy Laboratory, , [2012] |
| Descrizione fisica | 1 online resource (v, 23 pages) : color illustrations |
| Altri autori (Persone) |
OngSean
BootenChuck |
| Collana | NREL/TP |
| Soggetto topico |
Heat storage
Demand-side management (Electric utilities) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910701813103321 |
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Denholm P (Paul)
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| Golden, Colo. : , : National Renewable Energy Laboratory, , [2012] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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