Name: System Inertia and the Renewable Grid: A Multi-Objective Optimisation Framework (en Inglés)
SKU: 69002454
Price: 230972.00 COP
Availability: InStock
Author: Ayamolowo, Oladimeji
ISBN: 9789999352291

portada System Inertia and the Renewable Grid: A Multi-Objective Optimisation Framework (en Inglés)

System Inertia and the Renewable Grid: A Multi-Objective Optimisation Framework (en Inglés)

Formato

Libro Físico

Editorial

Eliva Press

Autor

Ayamolowo, Oladimeji

Idioma

Inglés

N° páginas

202

Encuadernación

Tapa Blanda

ISBN13

9789999352291

System Inertia and the Renewable Grid: A Multi-Objective Optimisation Framework (en Inglés)

Ayamolowo, Oladimeji (Autor) · Eliva Press · Tapa Blanda

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Reseña del libro "System Inertia and the Renewable Grid: A Multi-Objective Optimisation Framework (en Inglés)"

As the world races toward a renewable-energy-dominant grid to meet net-zero targets, a hidden cost emerges: declining system inertia, and with it, growing frequency instability. This book tackles that challenge head-on. Drawing on doctoral research in electrical engineering, Frequency Instability in Renewable Power Systems develops a series of multi-objective optimisation models — built as mixed-integer quadratic constrained programming (MIQCP) problems and solved using CPLEX in GAMS — that balance system inertia, cost, and CO2 emissions in modern power grids. The models are progressively extended: from core inertia-aware planning, to joint generation-transmission expansion planning with emission-reduction incentives, to feed-in tariff sensitivity analysis, and finally to a scenario-based treatment of renewable energy uncertainty using real wind and solar data from South Africa's Free State province. The results are striking: up to a 24% increase in system inertia, a 9.62% reduction in CO2 emissions, and measurable cost savings when inertia and renewable variability are properly accounted for in planning — offering a practical, data-driven path for power system planners and researchers navigating the transition to a low-carbon grid. This book is essential reading for power system engineers, energy policy researchers, and postgraduate students working at the intersection of renewable energy integration, grid stability, and optimisation modelling.