Despite the rapid spread of use wind energy to generate electricity, harnessing this source remains a great challenge due its stochastic nature. One way dealing with is prepare accurate power forecasts. This paper explored accuracy day-ahead and intraday scheduling generation onshore offshore farms member countries European Network Transmission System Operators (ENTSO-E) in period from 2013 202...

This paper proposes a novel technique for solving generation scheduling and ramp rate constrained unit commitment. A modified objective function associated with a new start-up cost term is introduced in this paper. The proposed method is used to solve generating scheduling problem satisfying SRR, minimum up and down time as well as ramp rate constraints. Two case studies are conducted to imp...

deregulation policy has caused some changes in the concepts of power systems reliability assessment and enhancement. in this paper, generation reliability is considered, and a method for its assessment using intelligent systems is proposed. also, because of power market and generators’ forced outages stochastic behavior, monte carlo simulation is used for reliability evaluation. generation reli...

With the growth of electricity generation from gas energy gas pipeline reliability can substantially impact the electric generation. A physical disruption to pipeline or to a compressor station can interrupt the flow of gas or reduce the pressure and lead to loss of multiple gas-fired electric generators, which could dramatically reduce the supplied power and threaten the power system security....

The paper represents a genetic algorithm (GA) solution to the unit commitment problem for power generation in thermal power plant. GAs are general optimization techniques based on principles inspired from the biological evolution, using metaphors of mechanism such as natural selection, genetic recombination and survival of the fittest. A simple GA implementation using the standard crossover and...

The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is concerned with sequence mining on power generation data and has the intent of modeling power generation. The data streams analyzed are average hourly power generation that is reported to the EPA. A global statistical model ...

In the proposed wind-storage combined operation technology, storage side is foreseen to play a significant role in power system day-ahead generation scheduling. Based on operational characteristics of pumped stations, dispatching method with wind farms and stations studied. The mode that aims at lowest operating cost proposed, taking into consideration coordination relationship between scheduli...

This work focuses on the deterministic optimization of short-term scheduling for hydroelectric power generation. The proposed methodology builds on a detailed mathematical programming model by considering the topological, reservoir, and plant constraints, and by representing the hydro production by an accurate function. The formulation results in a non-convex MINLP problem. A deterministic opti...

This paper proposes a new heuristic for solving the economic lot scheduling problem in flow shops under the Power-of-Two policy. A review of relevant literature shows that the heuristic in Ouenniche and Boctor [15] not only solves this problem with the best objective function value among the existing solution approaches, but also generates a feasible production schedule. However there are sever...