[Necessary for scientific research] Power system optimization analysis based on GAMS

Analyze typical optimization problems, optimization methods and their implementation in GAMS in the field of power systems. It is divided into five parts, including power system unit combination topics, optimal power flow topics, hydropower optimization operation topics, robust optimization and multi-energy complementary optimization topics, distribution robust optimization topics, etc., and gradually deepens from basic models to complex models.

It is designed to help researchers in the power field master the establishment of relevant optimization models and the use of GAMS as an optimization tool to better solve professional problems. The calculation examples cover general models and linear models of unit combinations, conventional robust optimization methods, and distributed robust optimization methods that have become popular in recent years. The model methods are explained in detail and case codes are provided. Therefore, the content is suitable for workers engaged in optimization research in the power field and helps researchers efficiently handle various optimization problems.

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Chapter 1 G AMS Unit Combination Problem Modeling

1. General mathematical model analysis of unit combination problems
2. GAMS program writing and debugging for general mathematical models of unit combination problems
3. Mixed integer linear programming model analysis of unit combination
4. GAMS program writing and debugging for unit combination mixed integer linear programming model
5. Import and export of Excel data on unit combination issues

Chapter 2 GAMS Optimal Power Flow Problem Modeling

1. Optimal power flow mathematical model analysis
2. Processing of admittance matrix in GAMS
3. Optimal power flow GAMS program writing and debugging

Chapter 3 Special Topics on Optimized Operation of Hydropower in GAMS

1. Analysis of mathematical model for optimal dispatch of cascade hydropower stations in river basins
2. GAMS program writing and debugging for optimal dispatching of cascade hydropower stations in river basins
3. Analysis of water abandonment optimization model of hydropower stations under the minimum water abandonment target
4. GAMS program writing and debugging of the water abandonment optimization model of hydropower stations under the minimum water abandonment target

Chapter 4 GAMS Robust Optimization and Multi-Energy Complementary Collaborative Optimization

1. Joint optimal dispatching problem of water and fire
2. Robust dispatch model taking into account the stochastic fluctuation of wind power
3. Wind-water-fire joint optimal scheduling problem
4. Multi-energy complementary coordination optimization dispatch model
5.  

 Chapter 5 G AMS Distributed Robust Optimization Modeling

1. Robust optimization model of unit combination distribution based on Wasserstein distance
2. Distributed robust unit combination model based on wind power probability density estimation
3. Robust optimization model of electric and thermal integrated system distribution taking into account the uncertainty of wind power