Integration of distributed energy resources in power systems implementation, operation and control
Integration of Distributed Energy Resources in Power Systems: Implementation, Operation and Control covers the operation of power transmission and distribution systems and their growing difficulty as the share of renewable energy sources in the world's energy mix grows and the proliferation tre...
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| Format: | eBook |
| Language: | English |
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London, UK
Academic Press is an imprint of Elsevier
2016
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- 2.3.3.1
- Results obtained with the wired communication network2.3.3.2
- Results obtained with the cellular communication network; 2.4
- Conclusions; Acknowledgment; References; Chapter 3
- Operational aspects of distribution systems with massive DER penetrations; 3.1
- Introduction; 3.2
- Control objectives; 3.2.1
- Importance of distributed generations; 3.2.2
- Challenges of distributed generations system; 3.2.3
- Overview of control system; 3.3
- Control method; 3.3.1
- The objective function and constraints; 3.3.1.1
- Objective function; 3.3.1.2
- Constraints
- 4.2.1
- Fluctuation characteristics of irradiance at single point4.2.1.1
- Smoothing effect; 4.2.2
- Fluctuation characteristics of spatial average irradiance in utility service area; 4.3
- Forecasting methods; 4.3.1
- Overview; 4.3.2
- Accuracy measures; 4.3.3
- NWP models; 4.3.3.1
- Ensemble forecast of NWP models; 4.3.3.2
- Spatiotemporal interpolation and smoothing; 4.3.3.3
- Postprocessing by statistical model; 4.3.3.4
- Combination of different forecast models; 4.3.4
- Satellite cloud motion vector approach; 4.3.5
- All Sky images; 4.3.6
- Statistical models
- Includes bibliographical references and index
- 3.4
- Particle swarm optimization3.4.1
- PV generator system; 3.4.2
- BESS at the interconnection point; 3.4.3
- Plug-in electric vehicle; 3.5
- Simulation results; 3.5.1
- Dynamic responses for the without optimization approach; 3.5.2
- Dynamic responses for the comparison method; 3.5.3
- Dynamic responses for the proposed method; 3.6
- Conclusions; References; Chapter 4
- Prediction of photovoltaic power generation output and network operation; 4.1
- Needs for forecasting photovoltaic (PV) power output in electric power systems; 4.2
- Power output fluctuation characteristics
- Cover; Title Page; Copyright Page; Contents; List of contributors; Chapter 1
- Introduction; 1.1
- Introduction; 1.2
- Distributed generation resources; 1.2.1
- Reciprocating engines; 1.2.2
- Microturbine generator (MTG) system; 1.2.3
- Fuel cells; 1.3
- Renewable energy sources; 1.3.1
- Wind energy conversion system; 1.3.2
- PV energy system; 1.3.3
- Biomass; 1.3.4
- Geothermal energy; 1.3.5
- Hydro energy; 1.4
- Energy storage systems; 1.4.1
- Electric double layer capacitor; 1.4.2
- Battery energy storage system; 1.4.3
- Superconducting magnetic energy storage; 1.4.4
- Flywheel
- 4.4
- Examples of forecasted results
- 1.4.5
- Plug in electric vehicle1.5
- Smart grid; References; Chapter 2
- Integration of distributed energy resources in distribution power systems; 2.1
- Introduction; 2.2
- Interconnection issues and countermeasures; 2.2.1
- Volt-VAR control; 2.2.2
- Gossip-like VVC MAS procedure; 2.3
- Role of ICT in the integration of distributed energy resources; 2.3.1
- Models of the communication networks; 2.3.1.1
- Wired communication network model; 2.3.1.2
- Cellular communication network model; 2.3.2
- Model of the power distribution feeder; 2.3.3
- Test results