In this paper, a dynamic generation scheduling model is formulated, aiming at minimizing the costs of power generation and taking into account the constraints of thermal power units and spinning reserve in wind power integrated systems. A dynamic solving method blended with particle swarm optimization algorithm is proposed. In this method, the solution space of the states of unit commitment is ...

In this paper, a new formulation for clearing reserve market in a deregulated environment with separated energy and reserve market is introduced. In the proposed method, reserve market is cleared such that the costs associated with capacity reservation, producing energy in real-time, opportunity cost of those units which are accepted in the energy market and backed down from the accepted values...

This paper presents a hybrid particle swarm optimization based genetic algorithm and hybrid particle swarm optimization based evolutionary programming for solving long-term generation maintenance scheduling problem. In power system, maintenance scheduling is being done upon the technical requirements of power plants and preserving the grid reliability. The objective function is to sell electric...

Water is scarce resource with uncertain availability. Hence finding an optimal production schedule for hydro producer is usually a complex task and it is necessary to carefully balance the timing of water use. This paper addresses the selfscheduling problem for a price-taker hydro producer. The goal is maximizing the profit of a hydro producer through participating in the day-ahead energy and a...

In this paper security constrained unit commitment (SCUC) is employed for simultaneous clearing of energy and reserve markets. Spinning reserve of production units and interruptible loads (IL) are used as system operation reserve. Some restrictions on the use of interruptible loads, such as maximum load curtailed, maximum curtailment hour in a day, maximum length of each curtailment are also co...

In this paper, the multi-area environmental economic dispatch (MAEED) problem with reserve constraints is solved by proposing an enhanced particle swarm optimization (EPSO) method. The objective of MAEED problem is to determine the optimal generating schedule of thermal units and inter-area power transactions in such a way that total fuel cost and emission are simultaneously optimized while sat...

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...

Ancillary services on the interconnected grid are necessary support for power transmission while maintaining reliable operation and to ensure exact level of quality safety. So many activities operator classified under preview ancillary correct meaning explanation some these distinctions given enough clarity. The basic three with importance that provided by independent producers in a deregulated...

In this paper, a stochastic two-stage model is offered for optimization of the day-ahead scheduling of the microgrid. System uncertainties including dispatchable distributed generation and energy storage contingencies are considered in the stochastic model. For handling uncertainties, Monte Carlo simulation is employed for generation several scenarios and then a reduction method is used to decr...

Description The IMO may use ‘out-of-market’ sources of reserve in response to an operating reserve shortfall in the real-time constrained sequence.1 Operating reserve shortfalls occur when either the total amount of available MW offered in the market for a class of operating reserve is less than the IMO’s requirement for that class of reserve, or when the total amount of available MW offered fo...