Building and solving mathematical programming models in engineering and science [Book Review]

Mathematical programming techniques constitute powerful optimization tools for power systems control, operation, and planning. For many years, traditional power system problems (such as economic dispatch, unit commitment, hydrothermal coordination, state estimation, transmission and distribution expansion planning, and optimal power flow) were formulated and solved by applying mathematical programming techniques. More recently, in restructured power systems, electricity market problems (such as market clearing price, price-based generation scheduling, portfolio optimization, risk management, asset valuation, arbitrage, and strategic bidding) have been formulated and solved by mathematical programming techniques. Building and Solving Mathematical Programming Models in Engineering and Science is a welcome addition to the series of publications on mathematical programming applications to engineering problems. The authors have years of experience in the modeling and the solution of practical cases. Numerous discussions on the system optimization and the examples pertinent to power systems make the book suitable for students, faculty, engineers, and consultants with special interest in solving electric power systems problems. The book emphasizes the engineering applications of mathematical programming. Many of the topics covered by this book focus on the formulation and modeling of engineering problems as opposed to the theoretical aspects of solution algorithms. The book applies an algebraic environment that makes it possible to formulate an engineering problem and to modify easily its formulation so that many solution alternatives can be explored and analyzed. This feature of the book is essential to many applications in engineering, as it avoids tedious coding requirements of