Optimal economic–emission power scheduling of RERs in MGs with uncertainty

Summary Enhancing distribution system operation accomplished with the integration of renewable energy resources (RERs) has several technical, economical, and environmental dimensions. In this regard, this paper presents an optimal integration procedure of Distributed Generation (DG) based on Photovoltaic panel (PV) and Distribution Static Compensator (DSTATCOM) in Electrical Distribution System (EDS). The proposed procedure is formulated as a multi‐objective function (MOF). The considered objectives that reflect the technical, economic, and environmental issues, are Active Power Loss Level (APLL), Short Circuit Level (SCL), Voltage Deviation Level (VDL), Net Saving Level (NSL), and Environmental Pollution Reduction Level (EPRL). The proposed procedure investigates several hybrid optimization methods that combine the firefly algorithm (FA) with various acceleration coefficients PSO algorithms to improve the overall solution quality of the hybrid algorithms compared with the individual algorithms. To prove the capability of the proposed procedure, four different cases are tested on IEEE 33‐bus and 69‐bus EDSs. Added to that, the proposed algorithms are extended to practical Algerian EDS in Adrar City 205‐bus. Results obtained by the hybrid FA‐SCAC‐PSO algorithm showed that the simultaneous allocation of multiple DG and DSTATCOM in all standard and practical test systems significantly reduces the loss and enhances the voltage profile. An energy‐efficient analysis to proceed for different cases studied based on the best hybrid FA‐SCAC‐PSO algorithm to reach the best value of MOF compared to other algorithms, moreover the capability to achieve the optimal allocation of DG and DSTATCOM by maintaining the voltages profile within the permissible limit, whatever the variation of load. Significant technical economic and environmental achievements are found for different case studies especially in the existence of DGs and DSTATCOM devices.

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“…The model of load demand uncertainty is represented by equations 45,46 :

P_{k} ((), t) = λ ((), t) \times P_{ok}

Q_{k} ((), t) = λ ((), t) \times Q_{ok}

…”

Section: Modeling Of Pv Source and Dstatcommentioning

confidence: 99%

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Zellagui

Lasmari

Settoul

et al. 2021

Int Trans Electr Energ Syst

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“…The second modification incorporates utilizing additional inner loops, which iterate between updating the output power of the selected generation units, calculating the transmission losses using (9), and calculating the mismatch using (23) until a certain tolerance is met. In the next algorithm, N x stands for the number of solutions passed to the algorithm.…”

Section: Constraints Handling Mechanismmentioning

confidence: 99%

Deterministic‐like solution to the non‐convex economic dispatch problem

El-Sayed

El-Saadany

Zeineldin

et al. 2020

IET Generation Trans & Dist

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This paper proposes a novel stochastic solution method for the static nonconvex power economic dispatch problem. All practical features such as valve point effects, ramp rate limits, prohibited operating zones, multiple fuel options, spinning reserve constraints, and transmission losses are considered. To develop the proposed algorithm, two modifications that significantly enhance the exploitation capability of the artificial bee colony algorithm are introduced. The first modification concerns onlooker and employed bees to focus their search around the best solution found so far. The second modification optimizes the escaping behavior from local minimums using scout bees. The proposed modifications form a multi-level concentric search around the best solution found. Finally, combining the modified artificial bee colony algorithm with Levy flight cycles, which improve the escaping capability from local minimums, leads to the proposed algorithm. The algorithm parameters have been tuned to provide a deterministic-like solution with ten benchmark problems. The improvement added by each proposed modification to the artificial bee colony algorithm has been confirmed using the Wilcoxon rank-sum test. The obtained results by the proposed algorithm are superior compared to those reported in the literature. Moreover, estimated probabilities of more than 99.9% to obtain the global optimal solution are achieved. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Neglecting uncertainties related to the renewable generation and load demand results in getting solution for the power system problems away from reality [2]. So that, the need for appropriate and accurate RES uncertainty modelling become a must in many research fields like RES planning [3], micro-grids management [4,5], RES integration analysis [6,7], and power system reliability analysis [8]. Therefore, there are various methodologies for uncertainty modeling and analysis in power systems.…”

Section: Introductionmentioning

confidence: 99%

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

et al. 2022

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Power system operation and planning studies face many challenges with increasing of renewable energy sources (RESs) penetration. These challenges revolve around the RESs uncertainty and its applications on probabilistic forecasting, power system operation optimization and power system planning. This paper proposes a novel and effective criterion for uncertainties modeling of the RESs as well as system loads. Four sorting stages are applied for the proposed uncertainty cases reduction. Added to that, it proposes three different uncertainty reduction strategies for obtaining different accuracy and speed options. The proposed reduction strategies are tested on medium and large scale distribution systems; IEEE 69-bus and 118-bus systems. The obtained results verify the effectiveness of the proposed criterion in uncertainties modeling in distribution systems with acceptable level of accuracy.

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Optimal economic–emission power scheduling of RERs in MGs with uncertainty

Cited by 30 publications

References 39 publications

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Simultaneous allocation of photovoltaic DG and DSTATCOM for techno‐economic and environmental benefits in electrical distribution systems at different loading conditions using novel hybrid optimization algorithms

Deterministic‐like solution to the non‐convex economic dispatch problem

A Proposed Uncertainty Reduction Criterion of Renewable Energy Sources for Optimal Operation of Distribution Systems

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