Environmental/Economic Dispatch Using a New Hybridizing Algorithm Integrated with an Effective Constraint Handling Technique

Nourianfar, Hossein; Abdi, Hamdi

doi:10.3390/su14063173

Cited by 16 publications

(11 citation statements)

References 59 publications

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“…The proposed hybrid method has been suggested for the multiarea EcDP. The following quoted here are some other hybrid techniques recently published, which have been employed for both EcDP and EEDP: hybrid ant colony optimization (ACO), ABC and HS [33], GA and whale optimization algorithm (WOA) [48], hybrid Jaya and TLBO algorithm (JAYA-TLBO) [49], and exchange market algorithm and PSO [50]. However, it is unfortunately notable that despite the encouraging results provided by hybrid stochastic techniques, the abovementioned shortcomings may persist due to the manipulation of random numbers throughout the optimization process.…”

Section: Multi Objectivementioning

confidence: 99%

A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem

2023

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The economic emission dispatch problem (EEDP) is a nonconvex and nonsmooth multiobjective optimization problem in the power system field. Generally, fuel cost and total emissions of harmful gases are the problem objective functions. The EEDP decision variables are output powers of thermal generating units (TGUs). To make the EEDP problem more practical, valve point loading effects (VPLEs), prohibited operation zones (POZs), and power balance constraints should be included in the problem constraints. In order to solve this complex and constrained EEDP, a new multiobjective optimization technique combining the differential evolution (DE) algorithm and chaos theory is proposed in this study. In this new multiobjective optimization technique, a nondomination sorting principle and a crowding distance calculation are employed to extract an accurate Pareto front. To avoid being trapped in local optima and enhance the conventional DE algorithm, two different chaotic maps are used in its initialization, crossover, and mutation phases instead of random numbers. To overcome difficulties caused by the equality constraint describing the power balance constraint, a slack TGU is defined to compensate for the gap between the total generation and the sum of the system load and total power losses. Then, the optimal power outputs of all thermal units except the slack unit are determined by the suggested optimization technique. To assess the effectiveness and applicability of the proposed method for solving the EEDP, the six-unit and ten-unit systems are used. Moreover, obtained results are compared with other new optimization techniques already developed and tested for the same purpose. The superior performance of the ChMODE is also evaluated by using various metrics such as inverted generational distance (IGD), hyper-volume (HV), spacing metric (SM), and the average satisfactory degree (ASD).

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Section: Multi Objectivementioning

confidence: 99%

A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem

2023

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“…On the one hand, a small value cannot guarantee the exact fulfilment of the constraint; on the other hand, a large value for the penalty coefficient can lead to premature convergence. Hence, in the second action, to accurately satisfy the constraint, an intelligent search is performed during the algorithm optimization process according to Equations (12)(13)(14)(15)(16)(17). In this way, it is tried that the total shares of individuals are always in such a way that the equality constraints are met.…”

Section: Constraint Handlingmentioning

confidence: 99%

“…In this work, a modified version of the EMA is employed to solve the mentioned problems. In [15], the multi-objective EED problem is addressed using the combination emission with cost by the price penalty factor. In that research, a hybridization of adaptive inertia weight particle swarm optimization (PSO) and EMA, integrated with an effective constraint handling method is used for problem optimization.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective Dynamic Environmental Economic Dispatch Problem Considering Plug in Electric Vehicles by Using the Improved Exchange Market Algorithm

Nourianfar

Abdi

2022

IJRTEI

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Global Warming and progression of modern power networks have profoundly changed traditional power grids in terms of fossil fuel consumption and emission of toxic gases. Therefore, auxiliary power plants and ancillary services have been introduced as an effective alternative, to overcome these new challenges in power systems. In this work, the dynamic environmental economic dispatch (DEED) problem, is investigated by considering the plug-in electric vehicles (PEVs), minimizing the fuel cost and greenhouse gas emissions from fossil fuel units. In the mentioned problem, to make it more practical, various operational constraints, including valve-point loading effect (VPLE), ramp rate limits (RRLs) and generation capacity limits are considered. This paper proposes a new multiobjective exchange market algorithm (EMA) based on the non-dominated sorting theory to find the Pareto front. In addition, the impacts of PEVs, as an uncertainty source, on the mentioned problem are analysed in four different charging scenarios. The efficiency of the proposed method has been detailed on three experimental systems and the obtained results are compared with other algorithms in this field. The results show that the maximum percentage reduction in costs for test cases 1 to 3, are about 2. 13, 2.69, and 39.48, respectively, and bout 45.96, 48.20 and 44.07, for emission, respectively. The comparative analysis verify the proposed method efficiency, and accuracy in solving the suggested problem.

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“…While this study is designed to use DC-based power flow analysis to evaluate the integration of renewable energy into power systems, future studies need to be directed toward incorporating environmental and economic dispatch in AC/DC networks [31]. Such an approach is vital for achieving a more comprehensive and holistic understanding of the system dynamics, especially when optimizing both cost and environmental considerations [32,33]. Furthermore, as power systems become more complex with increasing interconnections and meshed configurations, the role of voltage source converter stations becomes increasingly important [34].…”

Section: Introductionmentioning

confidence: 99%

Economic Analysis of Large-Scale Renewable Energy (RE) Source Investment Incorporating Power System Transmission Costs

Lee,

Joo

2023

Energies

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Recently, the proportion of renewable energy (RE) sources in a power system has been increasing worldwide to reduce carbon emissions. To effectively accommodate renewable energy, there is a growing need to develop integrated planning strategies for both renewable energy sources and transmission lines in a power system, taking into account the location-specific characteristics of renewable energy. Economically viable and rapid system expansion plans are required to resolve the problem of delayed integration of renewable energy into existing power system, which arises due to inadequate transmission facilities. To address these problems, this paper presents an integrated economic evaluation method that considers the inherently uncertain output characteristics of renewable energy, contingent on location, the costs associated with installing transmission lines, and environmental benefits. The case study is conducted using a modified power system in Korea. In the case study, it is assumed that by integrating solar power generators in a low-demand area and wind power generators in a high-demand area, wind power plants have higher construction costs than solar power generators. However, the transmission costs for wind power plants are lower than those for solar power generators due to the regional characteristics of the power grid in the installation areas because renewable energy in high-demand areas typically requires less additional power infrastructure than in low-demand areas. The results of this study show that the net benefit for the wind power plant is estimated at USD 225.4 M, while the solar power plant yields a net benefit of USD 22.9 M in the example system. These results demonstrate the effectiveness of the proposed method, underscoring its potential to mitigate the challenges faced in the practical implementation of renewable energy projects.

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Environmental/Economic Dispatch Using a New Hybridizing Algorithm Integrated with an Effective Constraint Handling Technique

Cited by 16 publications

References 59 publications

A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem

A Hybrid Chaotic-Based Multiobjective Differential Evolution Technique for Economic Emission Dispatch Problem

Multi-objective Dynamic Environmental Economic Dispatch Problem Considering Plug in Electric Vehicles by Using the Improved Exchange Market Algorithm

Economic Analysis of Large-Scale Renewable Energy (RE) Source Investment Incorporating Power System Transmission Costs

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