In this paper, a Modified Adaptive Selection Cuckoo Search Algorithm (MASCSA) is proposed for solving the Optimal Scheduling of Wind-Hydro-Thermal (OSWHT) systems problem. The main objective problem to minimize total fuel cost generating electricity thermal power plants, where energy from hydropower plants and wind turbines exploited absolutely. fixed-head short-term model taken into account, by supposing that water head constant during operation time, while reservoir volume balance are...

In this paper, a novel improved Stochastic Fractal Search optimization algorithm (ISFSOA) is proposed for finding effective solutions of complex optimal reactive power dispatch (ORPD) problem with consideration all constraints in transmission network. Three different objectives consisting total loss (TPL), voltage deviation (TVD) and stabilization enhancement index are independently optimized by running the ISFSOA standard (SFSOA). The potential search can be highly since diffusion process...

This paper suggested two methods, called war strategy optimization algorithm (WSO) and tunicate swarm (TSA), to find solutions for economic load dispatch problem (ELD). Various test systems with complex restrictions discontinuous objective functions are used assess the efficacy resilience of applied methods. The cases ranked from simplest most complicated ones, in which last demands changed minimum power maximum total all units. result comparison indicated that WSO can always reach best cost...

This paper proposes a High Performance Cuckoo Search Algorithm (HPCSA) for determining suitable operation parameters of the optimal wind-hydro-thermal system scheduling (OWHTSS) problem. The objective problem is to reach lowest electricity generation cost thermal power plants (TPPs) and wind (WPPs) while exactly meeting all constraints TPPs, WPPs hydroelectric (HEPs). HPCSA formed by applying improvements on two main techniques original (CSA) cover CSA' drawbacks such as searching random...

In this paper, an economic load dispatch problem (ELD) is solved for reaching optimal power output of hybrid systems in addition to cost minimization. The consider the forbidden working zones (FWZs), dynamic demand, wind farms, and solar photovoltaic fields (SPs). minimization solutions ELD are found by applying Dandelion optimizer (DO), salp swarm algorithm (SSA), particle optimization (PSO). study case, system consists six thermal plants (TPs), two SPs. addition, variation demand over 24...

This research presents the implementation of a modern meta-heuristic algorithm called skill optimization (SOA) to solve optimal power flow problem (OPF). An IEEE 30-bus transmission system is selected test real performance SOA. The main objective function study minimize total fuel cost (TFC) all thermal units. To clarify high SOA, classical named particle swarm (PSO) also applied for comparison. All results reached by SOA are compared with those PSO on different criteria. Particularly, has...

This paper proposes applications of a modified stochastic fractal search algorithm (MSFS) to solve the economic load dispatch problem (ELD) in which valve-point effects, prohibited operating zones, power losses all conductors, multi-fuel sources and other constraints system are taken into consideration. The proposed method is first developed study by performing two modifications on procedures new solution generation from conventional (SFS). modification used change strategy producing...

This paper presents an Adaptive Cuckoo Search Algorithm (ACSA) for solving economic load dispatch problem where thermal units with multiple fuel options and valve point loading effect are taken into account.ACSA is first developed by improving the optimal solution search ability of conventional algorithm.In ACSA, initial eggs evaluated classified two groups including good group bad group.The updated step size in ACSA at new generation via Lévy adaptive each iteration therefore selection...

This paper presents a nature-inspired meta-heuristic, called stochastic fractal search based method (SFS) for coping with complex economic load dispatch (ELD) problem. Two SFS methods are introduced in the by employing two different random walk generators diffusion process which Gaussian is SFS-Gauss and Levy Flight SFS-Levy. The performance of applied investigated comparing results obtained from three test system. These systems 6, 10, 20 units objective function forms constraints inspected....

This paper presents the application of Modified Cuckoo Search Algorithm (MCSA) for solving Economic Load Dispatch (ELD) problems.The MCSA method is developed to improve search ability and solution quality conventional CSA method.In MCSA, evaluation eggs has divided initial into two groups, top egg group with good abandoned worse quality.Moreover, value updated step size in adapted as generating a new via Levy flights so that large zone searched at beginning local foraged maximum number...

Power radial distribution systems are increasingly more and important in transmitting the electric energy from power plants to customers.However, total loss lines very high.This issue can be solved by allocating capacitor banks.Determining suitable allocation optimal sizing of banks needs an efficient approach.In this study, diffusion update techniques-based algorithm (DUTA) is proposed for such reason.The efficiency DUTA inspected on two consisting 15bus 33-bus with different study...

In this paper, optimal load dispatch problem under competitive electric market (OLDCEM) is solved by the combination of cuckoo search algorithm (CSA) and a new constraint handling approach, called modified (MCSA). addition, we also employ method for salp swarm (SSA) particle optimization (PSO) to form SSA (MSSA) PSO (MPSO). The three methods have been tested on 3-unit system 10-unit consideration payment model power reserve allocated, constraints generators. Result comparisons among MCSA CSA...

This article studies the influence of distributed generation (DG), specifically photovoltaic (PV) in distribution system. The particle swarm optimization algorithm (PSO) will be applied to determine best capacity and location PV on a test system EEE 33 nodes so that active power loss is minimized, voltage profile improved. performance method evaluated by comparing its results those from some previous methods, including Genetic Algorithm (GA), Bacterial Foraging Optimization (BFOA),...

This paper examines the effectiveness of a pumped storage hydropower plant (PSHP) when combined with other plants. System 1 contribution PSHP to reducing fuel costs for thermal power 2 optimization operations systems energy and uncertain renewable energies maximize total profit based on four test system cases: Case 1: neglect consider wind solar certainty; 2: 3: uncertainty; 4: uncertainty. Cases focus that assume stable outputs from these sources, while 3 4 uncertainty surrounding their...

The paper applies three cutting-edge algorithms - War Strategy Optimization Algorithm (WSO), Egret Swarm (ESOA), and Black Widow (BWOA) as potential tools to determining the optimal generation power of plants in both Economic Load Dispatch problem (ELD) New ELD (NELD), which incorporates renewable energy resources into traditional system. These underwent rigorous evaluation using various test systems with complex constraints, a multi-fuel objective function, 24-hour load demands. In System...

This paper presents the use of an enhanced version conventional cuckoo search algorithm (ECSA) for solving optimal generation coordination hydrothermal system where objective is to minimize both fuel cost and emission, hydro model represented as a quadratic function water discharge with respect generation. The ECSA method built operation based on several modifications Cuckoo (CSA). In method, by evaluating fitness all initial eggs they are divided into two parts including high quality one...