This paper presents a model to solve the short-term scheduling problem of a hydropower plant in a deregulated system, based on dynamic programming techniques. The objective of this model is to maximize the revenue obtained by selling energy in a competitive electricity market. The time horizon of the model is divided into hourly periods and ranges from one day to one week. The proposed model de...

Abstract: At present, the common practice in the power system of China is to represent the small and medium hydropower generator group as a negative load. This paper presents a method to build a dynamic equivalent model of the hydropower generator group using a 3rd order generator model and a static characteristic load model. Based on phasor measurements in the tie line which connects to the mo...

Climate changes significantly cause the precipitation deficiency and in turn reduce inflow amount reservoir affecting hydroelectric power generation. The primary objective of this study was to evaluate hydropower generation operation under climate change from Kesem reservoir. Recent Representative Pathway (RCP) scenarios were used impact on Power transformation equation variance scaling approac...

We investigate the optimum control of a stochastic system, in the presence of both exogenous (control-independent) stochastic state variables and endogenous (controldependent) state variables. Our solution approach relies on simulations and regressions with respect to the state variables, but also grafts the endogenous state variable into the simulation paths. That is, unlike most other simulat...

Hydropower producers must submit bids to electricity market auctions where they state their willingness to produce power. These bids may be determined using a mixed-integer linear stochastic program. However, for large interconnected river systems, this program may be too complex to be solved within the time limits set by current market rules. This paper investigates whether a linear approximat...

Environmental constraints in hydropower systems serve to ensure sustainable use of water resources. Through accurate treatment scheduling, one seeks respect such the planning phase while optimizing utilization hydropower. However, many environmental introduce state-dependencies and even nonconvexities scheduling problem, making them challenging represent stochastic models. This paper describes ...

On the basis of the analysis of the basic information of the river basin reservoirs and application of chaotic ant swarm algorithm, the medium-and long-term optimization operation model is established, which regards the maximum annual generation capacity of the cascade hydropower stations as the main purpose. The simulation result shows the algorithm improves the total annual power generation o...

Hydroelectric reservoirs have environmental impacts as many other sources of energy. Regarding hydropower, these effects include flooding cultivated and forest areas, changes in water quality, negative on biodiversity, conflict with indigenous people fish migration. In the nineties, researchers put evidence another important impact dam construction: greenhouse gases generated by organic matter ...

This paper studies adaptive water governance in the context of hydropower and flood-risk management. The Kemi River basin acts as an empirical setting to study environmental change capacity management system respond it. Hydropower reservoir development has been a source decade-long conflict river basin. aims find out how structures are adapting brought on by climate change. is based case resear...

Renewable energy provides twenty percent of electricity generation worldwide. Hydroelectric power is the cheapest way to generate electricity today. It is a renewable source of energy and provides almost one-fifth of electricity in the world. Also, it generates electricity using a renewable natural resource and accounting for six percent of worldwide energy supply or about fifteen percent of th...