Distribution system planning : evolution of methodologies and digital tools for energy transition / / Marie-Cecile Alvarez-Herault, [and six others]

• Autore: Alvarez-Herault Marie-Cecile
• Pubblicazione: London, England ; ; Hoboken, NJ : , : ISTE Ltd : , : John Wiley & Sons, Inc., , [2023]; ©2023
• Descrizione fisica: 1 online resource (485 pages)
• Disciplina: 929.374
• Soggetto topico: Energy transition
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- Foreword -- List of Notations -- List of Acronyms -- Introduction -- Chapter 1. Power Systems -- 1.1. Electricity: an essential and complex product -- 1.2. History of industrial power systems -- 1.2.1. Discovery of direct current and the design of the first generators -- 1.2.2. Birth of the first power systems: public lighting systems -- 1.2.3. The expansion of AC -- 1.2.4. The revival of DC -- 1.2.5. Development of power systems -- 1.2.6. The frequency choice for power systems -- 1.2.7. Choosing voltage levels for power systems -- 1.2.8. Structuring the power system -- 1.3. Technical description of the power system -- 1.3.1. The three-phase system -- 1.3.2. Connection mode for components of the power system -- 1.3.3. Electrotechnical imperfections of power systems -- 1.4. Distribution systems -- 1.4.1. HV/MV primary substations -- 1.4.2. MV/LV distribution substations -- 1.5. Opening of the energy markets: appearance of new players -- 1.5.1. Market deregulation versus technical regulation -- 1.5.2. Historical players in the power system -- 1.5.3. Market models around the world -- 1.5.4. Additional players in deregulated systems -- 1.5.5. Example of the European model -- 1.6. Roles of consumers and producers -- 1.6.1. Development of distributed energy resources based on renewable energies -- 1.6.2. Change in the status of the consumer: the "prosumer" -- 1.6.3. Distributed energy resources -- 1.7. Conclusion -- 1.8. References -- Chapter 2. Principles of Power Distribution System Planning -- 2.1. Methods of power distribution system planning -- 2.1.1. Definition -- 2.1.2. The different time scales in planning -- 2.1.3. France's power distribution system planning -- 2.1.4. Indicators used in planning and the solutions commonly employed to meet them -- 2.1.5. Planning options. ; 2.1.6. Application of techno-economic formulas on simple examples -- 2.2. Typical architectures of non-distributed neutral distribution systems (European system) -- 2.2.1. MV system architectures -- 2.2.2. LV system architectures -- 2.3. Typical architectures of distributed neutral systems (North American system) -- 2.3.1. MV system architectures -- 2.3.2. LV system architectures -- 2.3.3. Comparison of architectures -- 2.4. Other architectures encountered in the world -- 2.4.1. Multi-divided and multi-connected structure (Japan and China) -- 2.4.2. Loop and sub-loop system (Madrid, Berlin and China) -- 2.4.3. Two voltage levels, two types of distribution systems (Singapore) -- 2.4.4. Secured feeder and spot network (Indonesia, Malaysia) -- 2.4.5. United Arab Emirates -- 2.5. Conclusion -- 2.6. References -- Chapter 3. Integration of Distributed Energy Resources in Distribution System Planning -- 3.1. Introduction -- 3.2. Impact of distributed energy resources on the planning methods of distribution power systems -- 3.2.1. Problems brought about by the appearance of DERs -- 3.2.2. A need for an advanced planning tool that integrates DERs -- 3.2.3. Government policy recommendations on the evolution of distribution system planning methods -- 3.2.4. Transitioning to planning with DERs -- 3.3. Phase 1: traditional "fit and forget" planning -- 3.3.1. Allocation of DER connection costs -- 3.3.2. Estimated hosting capacity of the distribution system -- 3.3.3. Locational Net Benefit Analysis -- 3.3.4. Distribution Investment Deferral Framework -- 3.4. Phase 2: planning with DERs -- 3.4.1. List of possible insertion solutions -- 3.4.2. Planning without flexibility markets -- 3.4.3. Planning with flexibility markets -- 3.5. Conclusion -- 3.6. References -- Chapter 4. Planning Case Studies -- 4.1. Introduction. ; 4.2. State of the art of distribution systems with DERs -- 4.2.1. New diagnostic criteria for distribution systems -- 4.2.2. General principle for estimating the maximum DER power without imposing constraints on the system -- 4.2.3. Decision support tools under uncertainty based on the Monte Carlo method -- 4.3. Dense urban interconnected systems -- 4.3.1. Structural solution: topological optimization of electrical distribution systems -- 4.3.2. Case study 3: non-wire alternatives -- 4.4. Rural interconnected systems -- 4.4.1. Case study 4: NWA to integrate DERs into LV rural distribution systems -- 4.4.2. Case study 5: using storage to defer investments in LV systems -- 4.5. Off-grid systems -- 4.5.1. Case study 6: rural electrification - Cambodia -- 4.5.2. Case study 7: high cost, difficult access areas - Australia -- 4.6. Conclusion -- 4.7. References -- Chapter 5. Mathematical Tools for Planning -- 5.1. Introduction -- 5.2. Inputting data for the planning problem -- 5.2.1. Preliminary definitions -- 5.2.2. Technical and economic data -- 5.2.3. Structure of the initial electrical system -- 5.2.4. Topological data -- 5.2.5. Definition of sizing situations -- 5.3. Planning: a multi-objective optimization problem under constraints -- 5.3.1. Decision-making variables -- 5.3.2. Definition of the multi-objective function to be optimized -- 5.3.3. Defining constraints -- 5.3.4. Load distribution calculation -- 5.4. Algorithms for optimizing the planning of distribution systems -- 5.4.1. Analysis of the optimization problem -- 5.4.2. Breakdown of sub-problems to be optimized -- 5.4.3. Summary of optimization methods used in planning -- 5.4.4. Integration of uncertainties in planning -- 5.5. Conclusion -- 5.6. References -- Chapter 6. Mathematical Tools for Planning: Application to Case Studies -- 6.1. Introduction. ; 6.2. Master-slave decomposition method with a feedback loop and use of metaheuristics: case study no. 1 -- 6.3. Greedy decomposition method -- 6.3.1. Heuristics: case study no. 2a -- 6.3.2. Brute-force search: case study no. 2b -- 6.4. Linear programming -- 6.4.1. Consumption curtailment (demand response): case study no. 3a -- 6.4.2. Phase balancing problem - integer linear programming: case study no. 6 -- 6.5. Nonlinear programming -- 6.5.1. Storage to remove system constraints: case study no. 5 -- 6.5.2. Placement and sizing of storage and production units: case study no. 6 -- 6.6. Integration of uncertainties -- 6.6.1. Monte Carlo method applied to the calculation of the DER HC and the technical and economic interest of flexibilities -- 6.6.2. Probabilistic method applied to the technical and economic interests of flexibilities: case study no. 3b -- 6.7. Conclusion -- 6.8. References -- Chapter 7. New Trends and Challenges -- 7.1. Introduction -- 7.2. New architectures and new products -- 7.2.1. A new set of values -- 7.2.2. New objects: virtualization of assets, case of the virtual lines of the Ringo Project -- 7.2.3. Renewed interest for direct current -- 7.2.4. New multi-objective systemic approaches -- 7.3. Integrated planning tools -- 7.3.1. Why integrate? -- 7.3.2. The challenges of data -- 7.3.3. Including control in planning models -- 7.3.4. The challenge of skills -- 7.4. New economic actors and new business models -- 7.4.1. Diversity of actors -- 7.4.2. Diversity of topics -- 7.4.3. Diversity of business models -- 7.5. Conclusion -- 7.6. References -- Conclusion -- Index -- EULA.
• Titolo autorizzato: Distribution system planning
• ISBN: 1-394-20947-9; 1-394-20945-2
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910830123303321
• Lo trovi qui: Univ. Federico II