This paper presents a hybrid model constituting dynamic smoothing technique and particle swarm optimization techniques to optimally size control battery energy storage systems for wind ramp rate power system frequency performance enhancement. In today’s modern system, high-proportion renewable grid is inevitable. with abundant integration of resources under the presence tools. Energy tools are ...

The purpose of this study was to investigate traffic flow characteristics at off-ramp junctions in Iranian expressways. The study was conducted on the traffic behavior in isolated off-ramp vicinity of 6-lane expressways. The database consisted of traffic flow and traffic speed information extracted from videotapes. The relationship between diverging traffic flow in the right lane of expressway ...

Ramp metering has been broadly accepted and deployed as an effective countermeasure against both recurrent and non-recurrent congestion on freeways. However, many current ramp metering algorithms tend to improve only freeway travels using local detectors' inputs and overlook the negative impacts on local streets. This may generate two problems: 1) the optimal local settings may not result in a ...

A chance-constrained programming-based optimization model for the dynamic economic emission dispatch problem (DEED), consisting of both thermal units and wind turbines, is developed. In proposed model, probability scheduled power (WP) included in set problem-decision variables it determined based on system spinning reserve load at each hour horizon time. This new strategy avoids, one hand, risk...

The static and dynamic economic dispatch problems are solved by creating an enhanced version of ant lion optimisation (ALO), namely a tournament selection-based (TALO) method. proposed algorithm is presented to solve the combined emission (CEED) problem with considering generator constraints such as ramp rate limits, valvepoint effects, prohibited operating zones transmission loss. algorithm’s ...

The unit commitment problem (UCP) is a nonlinear mixed-integer optimization problem, encountered as one of the toughest problems in power systems. The problem becomes even more complicated when dynamic power limit based ramp rate constraint is taken into account. Due to the inadequacy of deterministic methods in handling large-size instances of the UCP, various metaheuristics are being consider...

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...

As the share of highly variable photovoltaic (PV) and wind power production increases, there is a growing need to smooth their fast fluctuations. Some countries have set ramp rate (RR) limits that output powers plants may not exceed. In this study, effects RR limit on sizing energy storage systems (ESS) for PV, wind, PV–wind are examined. These been studied prior PV plants. However, plants, com...

On-ramp merging areas are essential parts of freeways. The behavior vehicles is the main factor affecting continuity freeway traffic flow, which determines capacity line. With development innovative car technology, ACC technology has been widely used in actual vehicles. At same time, public’s demand for freeway-speed improvement increasing. However, evaluative research on freeway-speed-improvem...