Dynamic State Estimation for Power Systems under Unconventional Measurements
- Publisher's listprice GBP 170.00
-
76 755 Ft (73 100 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 15 351 Ft off)
- Discounted price 61 404 Ft (58 480 Ft + 5% VAT)
- Discount is valid until: 30 June 2026
Subcribe now and take benefit of a favourable price.
Subscribe
69 080 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 29 June 2026
- ISBN 9781041163169
- Binding Hardback
- No. of pages224 pages
- Size 234x156 mm
- Language English
- Illustrations 85 Illustrations, black & white; 85 Line drawings, black & white; 17 Tables, black & white 700
Categories
Short description:
This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids including unconventional measurements as time-delays, multi-rate measurements, and so forth.
MoreLong description:
This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids. The work tackles unconventional measurements including time-delays, multi-rate measurements, event-triggered transmissions, outliers, and sensor saturations including complex factors. The nine-chapter structure progresses from fundamentals through specific applications to future research directions.
- Explore state estimation in power systems and challenges in large, complex grids with high renewable energy integration.
- Provides step-by-step derivations of theoretical results and case studies based on widely used power system benchmarks.
- Addresses two prominent research and technological aspects: soft computing for estimation and power electrical systems.
- Considers practical issues such as online application and computational efficiency in the estimator design,
- Reviews analysis techniques such as optimal estimation technique, completing the square method, stochastic analysis technique, and entropy theory
This book is aimed at graduate students and researchers in electrical engineering, power systems, control systems, and signal processing.
More
Table of Contents:
1. Introduction 2. Outlier-Resistant Recursive State Estimation for Renewable Energy Microgrids 3. Distributed State Estimation for Renewable Energy Microgrids with Sensor Saturations 4. Event-Based Joint State and Unknown Input Estimation for Multi-Machine Power Grids 5. Decentralized Dynamic State Estimation for Multi-Machine Power Systems with Non-Gaussian Noises and Outliers 6. Secure Particle Filtering for Multi-Machine Power Grids under Paillier Encryption-Decryption Scheme 7. Fusion Estimation for A Class of Multi-Rate Power Systems with Randomly Occurring SCADA Measurement Delays 8. Anomaly-Resistant Decentralized State Estimation under Minimum Error Entropy with Fiducial Points for Wide-Area Power Systems 9. Conclusion and Further Work
More
