A well-managed chemical nitrogen (N) fertilization practice combined with treated swine slurry (TSS) is necessary to improve sustainability and N use efficiency in rice farming. However, little is known about the fate of N derived from chemical N fertilizer with and without TSS in paddy soil-plant systems. The objectives of this study were (1) to estimate the contribution of applied N fertilize...

In this paper, an advanced modus operandi named the -constrained simplex method (ACSM) is deployed to resolve a real-time hydro-thermal-wind-solar power scheduling problem. ACSM updated articulation of Nonlinear Simplex Method (SM) Nelder and Mead. It has been designed after interbreeding ordinary SM with some other methods like-evolutionary method, ?-constrained etc. To develop technique three...

Power system is a combination of a number of sources and loads properly linked by a transmission system. The source is a generating system fueled by renewable or non renewable system where bio mass fuel is used to generate electric power. Due to low levels of bio fuel availability, the gas turbine system is considered as a weak system when compared to thermal and hydro systems. However, stable ...

This study demonstrates the use of a high-performance feedback neural network optimizer based on a new idea of successive approximation for finding the hourly optimal release schedules of interconnected multi-reservoir power system in such a way to minimize the overall cost of thermal generations spanned over the planning period. The main advantages of the proposed neural network optimizer over...

Different optimization methods have been applied to solve hydrothermal scheduling problems. This study reviews some of the common optimization methods and algorithms their strengths and weaknesses. The study found out that with time, old methods are improved upon and novel methods are developed to provide for more efficiency, faster convergence, robustness, and adaptability.

A dynamic (multi-stage) stochastic programming model for the weekly cost-optimal generation of electric power in a hydro-thermal generation system under uncertain demand (or load) is developed. The model involves a large number of mixed-integer (stochastic) decision variables and constraints linking time periods and operating power units. A stochastic Lagrangian relaxation scheme is designed by...

A two-stage stochastic programming model for the shortor mid-term cost-optimal electric power production planning is developed. We consider the power generation in a hydro-thermal generation system under uncertainty in demand (or load) and prices for fuel and delivery contracts. The model involves a large number of mixed-integer (stochastic) decision variables and constraints linking time perio...

We consider a power generation system comprising thermal units and pumped hydro storage plants, and introduce a model for its weekly cost-optimal operation. Due to the uncertainty of the load, the mathematical model represents a dynamic (multi-stage) stochastic program. The model involves a large number of mixed-integer (stochastic) decisions but its constraints are loosely coupled across opera...