This paper proposes a novel and efficient hybrid algorithm based on combining particle swarm optimization (PSO) and gravitational search algorithm (GSA) techniques, called PSO-GSA. The core of this algorithm is to combine the ability of social thinking in PSO with the local search capability of GSA. Many practical constraints of generators, such as power loss, ramp rate limits, prohibited opera...

This paper presents a novel stochastic optimisation approach to determining the feasible optimal solution of the economic dispatch (ED) problem considering various generator constraints. Many practical constraints of generators, such as ramp rate limits, prohibited operating zones and the valve point effect, are considered. These constraints make the ED problem a non-smooth/nonconvex minimisati...

Nowadays, demand response programs (DRPs) play an important role in price reduction and reliability improvement. In this paper, an optimal integrated model for the emergency demand response program (EDRP) and dynamic economic emission dispatch (DEED) problem has been developed. Customer’s behavior is modeled based on the price elasticity matrix (PEM) by which the level of DRP is determined for ...

This paper presents a novel stochastic optimization approach to solve constrained economic load dispatch (ELD) problem using Hybrid Bacterial Foraging-Differential Evolution optimization algorithm. In this hybrid approach computational chemotaxis of BFOA, which may also be viewed as a stochastic gradient search, has been coupled with DE type mutation and crossover of the optimization agents. Th...

This paper proposes a new multi-objective based adaptive immune algorithm for solving the combined economic and environmental dispatch problem. Economic dispatch problem deals with the minimization of fuel cost while satisfying a set of equality and inequality constraints. The fossil fuel plants pollute the environment by emitting some toxic gases. Therefore, the traditional minimization of cos...

In this paper a new integrated model of the dynamic environmental/economic dispatch (DEED) problem and emergency demand response program (EDRP) has been presented by which their interactions are investigated. DEED schedules the online generators power output over the whole dispatch period subject to some practical constraints so that the fuel costs and emission are optimized simultaneously. EDR...

The short-term hydrothermal scheduling (STHTS) problem has paramount importance in an interconnected power system. Owing to operational research problem, it been a basic concern of companies minimize fuel costs. To solve STHTS, cascaded topology four hydel generators with one equivalent thermal generator is considered. complex and non-linear equality inequality constraints, including water disc...

This study addresses a stochastic structure for generation companies (GenCoʼs) that participate in hydro-thermal self-scheduling with a wind power plant on short-term scheduling for simultaneous reserve energy and energy market. In stochastic scheduling of HTSS with a wind power plant, in addition to various types of uncertainties such as energy price, spinning /non-spinning reserve prices, unc...

Several attacks against physical pin-tumbler locks require access to one or more key blanks to perform. These attacks include bumping, impressioning, rightsamplification, and teleduplication. To mitigate these attacks, many lock systems rely on restricted keyways and use blanks that are not sold to the general public, making it harder for attackers to obtain them. Often the key blank designs th...