This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems. It reflects the need for optimal operation and control of today’s electricity grid at both the supply and demand spectrum of the grid. This need is further compounded by the advent of smart grids, which has led to increased customer/consumer participation in power and renewable energy system operations.
The book begins by giving an overview of power and renewable energy systems, demand-side management programs and algebraic modeling languages. The overview includes detailed consideration of appliance scheduling algorithms, price elasticity matrices and demand response incentives. Furthermore, the book presents various power system operational and control mathematical formulations, incorporating demand-side management programs.
The mathematical formulations developed are modeled and solved using the Advanced Interactive Multidimensional Modeling System (AIMMS) software, which offers a powerful yet simple algebraic modeling language for solving optimization problems.
The book is extremely useful for all power system operators and planners who are concerned with optimal operational procedures for managing today’s complex grids, a context in which customers are active participants and can curb/control their demand. The book details how AIMMS can be a useful tool in optimizing power grids and also offers a valuable research aid for students and academics alike.
Tabella dei contenuti
Part I: Introduction.- Power and Renewable Energy Systems.- Demand Side Management.- Algebraic Modelling Languages.- Structure of the Book.- References.- Part II: Mathematical Optimization Models.- Mathematical Modelling and Solution Approaches.- Energy Response Mathematical Models.- Demand Response Mathematical Models.- Part III: Algebraic Modelling Languages Research Applications.- Dynamic Economic Emissions Dispatch.- Generator Maintenance Scheduling.- Combined Heat and Power (CHP) Dispatch.- Hybrid Grid Connected Renewable Energy Sources (RES) Powered Microgrid with Demand Response.- Optimal Power Flow (OPF).- Unit Commitment (UC).- Transmission Network Expansion Planning.- Generation Capacity Expansion Planning.- Distribution Network Expansion Planning.- Part IV: Conclusion and Extensions.- Further Research and Extensions.
Circa l’autore
Prof. Nnamdi Nwulu is a Researcher, Educationist and Engineer. He holds B.Sc. and M.Sc. degrees in Electrical & Electronic Engineering and a Ph.D. degree in Electrical Engineering. His research interests include the application of digital technologies, mathematical optimization techniques and machine learning algorithms in food, energy and water systems.
Prof. Nwulu is currently the Director of the Centre for Food, Energy & Water Systems (CCP-FEWS) at the University of Johannesburg. He is a Professional Engineer registered with the Engineering Council of South Africa (ECSA), a Senior Member of the Institute of Electrical and Electronics Engineers (SMIEEE), a Senior Member of the South African Institute of Electrical Engineers (SMSAIEE) and a Y-rated Researcher by the National Research Foundation of South Africa.
Prof. Nwulu is the Editor-in-Chief of the Journal of Digital Food Energy and Water Systems (JD-FEWS), Associate Editor of the IET Renewable Power Generation (IET-RPG) and the African Journal of Science, Technology, Innovation and Development (AJSTID).
Saheed Lekan Gbadamosi is a Postdoctoral Research Fellow at the University of Johannesburg, Johannesburg, South Africa. He received the B.Tech. (2009) and M.Eng. (2014) degrees in Electrical and Electronic Engineering and the Ph.D. (2019) degree in Electrical Engineering. His research interests are centered on power systems and energy optimization with major focus on power quality, system reliability, mathematical modeling, demand response, optimal power flow, power system planning and operation, microgrid, renewable energy systems and nexus of food, energy and water systems. He has researched and modeled an optimization problem considering harmonic and power losses reduction in a large-scale renewable energy system. A novel method of estimating Locational Marginal Price (LMP) related to harmonics power losses contribution was developed. More recently, he has considereda multi-period multi-objective optimization problem with large-scale renewable energy and demand response as well as the reliability assessment of the power system. He is a corporate member of Nigerian Society of Engineers, a Registered Engineer with Council of Regulation for Engineering in Nigeria (COREN) and a Candidate Engineer of Engineering Council of South Africa (ESCA). He has authored and co-authored more than 20 peer-reviewed scientific publications.
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