The efficient operation of the present day power system is an important issue to satisfy the customer needs. To improve the performance of the existing power system, the flexible alternating current ...transmission system (FACTS) devices have been attracted by an engineering community with the expertise in power system. This article proposes the self-adaptive firefly algorithm (SAFA) for placement of FACTS devices, which identifies the appropriate type, best possible locations and optimal parameters of FACTS devices. Static var compensator, thyristor controlled series compensator and unified power flow controller are considers as FACTS devices for their placement. The objectives are to improve the power system performance by placement of FACTS devices through minimising real power loss, improving voltage profile and enhancing the voltage stability. Effectiveness of the proposed SAFA is tested on standard IEEE 30 and IEEE 57 bus systems with different objectives. The results are compared with other approaches, which clearly indicate the effectiveness and usefulness of the proposed method.
•Presenting CSA-BA-ABC as an optimization algorithm to solve CHPED problems.•Eliminating BA’s and ABC’s disadvantages through three search mechanisms.•Reporting the case study simulations on a set of ...23 benchmark functions and on 3 CHPED problems.•Considering valve-point effect, prohibited zones and transmission losses.•Verifying the ability, constraints handling capability and robustness of the proposed algorithm in finding a better cost-effective solution.•Comparing the non-parametrical test results with other algorithms to show significant enhancement of the proposed algorithm.
This paper presents a new algorithm based on hybridizing Bat Algorithm (BA) and Artificial Bee Colony (ABC) with Chaotic based Self-Adaptive (CSA) search strategy (CSA-BA-ABC) to solve the large-scale, highly non-linear, non-convex, non-smooth, non-differential, non-continuous, multi-peak and complex Combined Heat and Power Economic Dispatch (CHPED) problems. The proposed hybrid algorithm has better capability to escape from local optima with faster convergence rate than the standard BA and ABC. The proposed algorithm works based on the three mechanisms. The first one is a novel adaptive search mechanism, in which one of the three search phases (BA phase, directed onlooker bee phase and modified scout bee phase) is selected based on the aging level of the individual’s best solution (pbest). In this regard, ABC’s phases can assist BA phase to search based on deeper exploration /exploitation pattern as an alternative. In periodic intervals, the second mechanism called as CSA updates algorithm control parameters using chaotic system based on prevailing search efficiency in the swarm. Lastly, the third mechanism is enhancing the algorithm performance by incorporating individual’s directional information, habitat selection and self-adaptive compensation. The effectiveness and robustness of the proposed algorithm are tested on a set of 23 benchmark functions and three CHPED problems. The obtained results by the suggested algorithm in terms of quality solution, computational performance and convergence characteristic are compared with various algorithms to show the ability of the proposed approach and its robustness in finding a better cost- effective solution.
Globally, climate change has increased various environmental concerns, and there is a very high and still ever greater penetration of renewable energy power into energy grids. The intermittent nature ...of these energy sources has demanded a strong power electronic interface to maintain an uninterrupted power flow to the external load. This paper deals with a novel dual input quasi Z source inverter (qZSI) that can operate with two intermittent sources and perform a single stage power conversion. The novelty of the proposed methodology is the implementation of qZSI with a reduced number of switches, increased voltage gain, and a high boosting factor which results in increased efficiency. A simple boost control-based pulse width modulation (PWM) technique has been adopted, which has been observed after analysis, to have reduced the stress on the switches and simultaneously increased system efficiency. Perturb and observe method-based maximum power point tracking (MPPT) was integrated into the study with the control technique, and its performance was observed using MATLAB/Simulink and further validated with a scale down model.
The primary objective of this article is the design and development of the optimal hybrid renewable energy (HRE) system for rural communities through village‐owned resources. The optimal performance ...and economic analysis is carried out with a suitable multi‐energy generation configuration model simulation. Based on the simulation outcomes the feasibility report of the proposed HRE system is to be considered for the investor's decision‐making process. The complete analysis has been planned with three important phases such as pre assessment stage, simulation and optimization stage, and evaluation stages. This real conducted case study has expressed many interesting facts about the integration of renewable resources toward meeting the rural energy requirements with economical and smooth manners. The proposed configuration is capable to generate net annual energy of 89,822 kWh/year with CoE (cost of energy) of Rs. 8.102. In addition, the proposed HRE system is reducing the CO2 impact on the environment by nearly 3.5% with an excess energy capacity of 6688 kWh/year.
•Estimation of candidate buses using Loss Sensitivity Factor, helps in reducing search space.•GSA to answer optimization problems with discontinuous solution space & objectives where global optimum ...is desired.•GSA is verified on reputed 33, 69, 85 & 141 Bus RDN.•Results attained make evident that GSA is superior to the techniques discussed in preceding literatures.
Power generated in generating station is transmitted through transmission lines and fed to the consumers through distribution substation. The power distributed into the network has losses, which is greater in distribution system compared to transmission system. This problem could be addressed by placing capacitor at strategic location due to which the kW loss can be minimized and the net savings can be maximized. This paper adopts two methods where the first method being the sensitivity analysis and the second method is the Gravitational Search Algorithm (GSA). Sensitivity analysis is a methodical technique, which is used to reduce the search space and to arrive at an accurate solution for recognizing the locality of capacitors. Capacitor values are allocated for the respective locations using GSA. The overall precision and dependability of the adopted approach were authenticated and verified on few radial distribution network with diverse topologies of varying sizes and complexities and also compared with an analytical Interior Point algorithm and one of the meta-heuristic optimization technique called Simulated Annealing. Computational outcomes obtained showed that the proposed method is capable of generating optimal solutions.
► The English language, style, grammar quality was improved through the English Professor. ► The introduction part was completely modified and some sentences were removed from the introduction part. ...► The objective function is revised and changed to the new notations. ► In problem formulation chapter, the following notations were included: a.
P
ih
– output power from hydro unit i (MW), b.
T
offi
and
T
oni
were indexed, c.
P
i
is indexed in the revised paper.
This paper presents a new approach to solve the hydro-thermal unit commitment problem using Simulated Annealing embedded Evolutionary Programming approach. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. A utility power system with 11 generating units in India demonstrates the effectiveness of the proposed approach; extensive studies have also been performed for different IEEE test systems consist of 25, 44 and 65 units. Numerical results are shown comparing the cost solutions and computation time obtained by conventional methods.
This paper develops a new approach for solving the Economic Load Dispatch (ELD) using an integrated algorithm based on Evolutionary Programming (EP) and Simulated Annealing (SA) on large scale power ...system. Classical methods employed for solving Economic Load Dispatch are calculus-based. For generator units having quadratic fuel cost functions, the classical techniques ignore or flatten out the portions of the incremental fuel cost curves and so may be have difficulties in the determination of the global optimum solution for non-differentiable fuel cost functions. To overcome these problems, the intelligent techniques, namely, Evolutionary Programming and Simulated Annealing are employed. The above said optimization techniques are capable of determining the global or near global optimum dispatch solutions. The validity and effectiveness of the proposed integrated algorithm has been tested with 66-bus Indian utility system, IEEE 5-bus, 30-bus, 118-bus system. And the test results are compared with the results obtained from other methods. Numerical results show that the proposed integrated algorithm can provide accurate solutions within reasonable time for any type of fuel cost functions.
•We developed new hybrid evolutionary algorithm for solving generator maintenance scheduling problem.•Hybrid optimization method balance overall reliability and economy.•A case study of 32 thermal ...generating units reveal the effectiveness of the hybrid method.
This paper presents a Hybrid Particle Swarm Optimization based Genetic Algorithm and Hybrid Particle Swarm Optimization based Shuffled Frog Leaping Algorithm 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 electricity as much as possible according to the market clearing price forecast. While in power system, technical viewpoints and system reliability are taken into consideration in maintenance scheduling with respect to the economical viewpoint. It will consider security constrained model for preventive Maintenance scheduling such as generation capacity, duration of maintenance, maintenance continuity, spinning reserve and reliability index are being taken into account. The proposed hybrid methods are applied to an IEEE test system consist of 24 buses with 32 thermal generating units.
This article presents an innovative technique for solving network reconfiguration problems with an objective of minimizing network I
2
R losses for an explicit set of loads. Amid many performance ...standards considered for optimal network reconfiguration, voltage constraint is an important one. This problem calls for determining the best combination of feeders to be opened in the radial distribution system so it provides optimal performance in the preferred settings. In solving this problem, the gravitational search algorithm is used to reconfigure the radial distribution system; this algorithm practices an optimal pattern for sustaining the radial nature of the network at every stage of the solution, and it further allows proficient exploration of the solution space. The anticipated scheme minimizes the objective function, which has been given in the problem formulation to reduce I
2
R losses in addition to balancing loads in the feeders. The solution technique involves determination of the best switching combinations and calculation of power loss and voltage profile. The practicality of the anticipated technique is validated in two distribution networks, where attained results are compared by means of available literature. Correspondingly, it is seen from the results that network losses are reduced when voltage stability is enriched through network reconfiguration.
