A multi-objective framework for distributed energy resources planning and storage management

Ahmadi, Bahman; Ceylan, Oğuzhan; Özdemir, Aydoğan; Fotuhi‐Firuzabad, Mahmud

doi:10.1016/j.apenergy.2022.118887

Cited by 48 publications

(23 citation statements)

References 50 publications

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“…Within these models, the main modifications are the addition of PV systems and ESDs at several busses of the systems. Real data concerning the sun irradiation and load curve behavior are used to model the PV yield and load characteristic [19]. For both test systems, the locations and sizes of the PVs and ESDs that are added to the systems are presented in Table I and Table II.…”

Section: A Test Systems Load and Pv Characteristicsmentioning

confidence: 99%

A Decentralized Control Strategy for Voltage Regulators and Energy Storage Devices in Active Unbalanced Distribution Systems

Ahmadi

Giraldo

Hoogsteen

et al. 2022

2022 International Conference on Smart Energy Systems and Technologies (SEST)

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This paper studies a multi-objective optimization problem that optimizes unbalanced distribution networks with high penetration of photovoltaic power generation whereby the aim is to find the optimal tap positions of voltage regulators (VRs) and locally optimized charging and discharging power profiles for energy storage devices (ESDs) based on a decentralized coordination process. The corresponding objective function is based on the voltage profile of the network and the lifetime improvement of the VRs and ESDs. The Advanced Arithmetic Optimizer (AAO) algorithm combined with the profile steering approach is used to find a near-optimal solution for the problem. The decentralized process is compared to a centralized approach for the IEEE 13 and 123 bus systems. Results show that the proposed decentralized method is able to resolve all voltage problems and find good quality solutions in lower computational time compared to the centralized approach and other optimization algorithms.

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Section: A Test Systems Load and Pv Characteristicsmentioning

confidence: 99%

A Decentralized Control Strategy for Voltage Regulators and Energy Storage Devices in Active Unbalanced Distribution Systems

Ahmadi

Giraldo

Hoogsteen

et al. 2022

2022 International Conference on Smart Energy Systems and Technologies (SEST)

Self Cite

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“…where N T represents the entire optimization time frame in hours, N BUS corresponds to the number of buses in the feeder, and R j,k is the resistance of the line connecting buses j and k. At hour-i, I i,j,k is the line current between buses j and k. The limit violation of the dependent variables (here, bus voltage magnitudes) is often embedded in the objective function using penalty factors [40]. In this regard, the augmented objective function is expressed as follows:…”

Section: Active Energy Lossesmentioning

confidence: 99%

Optimum Parallel Processing Schemes to Improve the Computation Speed for Renewable Energy Allocation and Sizing Problems

et al. 2022

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The optimum penetration of distributed generations into the distribution grid provides several technical and economic benefits. However, the computational time required to solve the constrained optimization problems increases with the increasing network scale and may be too long for online implementations. This paper presents a parallel solution of a multi-objective distributed generation (DG) allocation and sizing problem to handle a large number of computations. The aim is to find the optimum number of processors in addition to energy loss and DG cost minimization. The proposed formulation is applied to a 33-bus test system, and the results are compared with themselves and with the base case operating conditions using the optimal values and three popular multi-objective optimization metrics. The results show that comparable solutions with high-efficiency values can be obtained up to a certain number of processors.

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“…To guarantee that the benefits of integrating DERs with radial networks are provided, the DERs source selection criteria are crucial [1]. If the location of DER is randomly selected in a load part, the network performance will be badly affected [2,3].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Planning of Renewable Energy Source with Different Load Models

saleh

2024

Preprint

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this paper presents an optimization algorithm, named Non dominated Sorting Genetic Algorithm III (NSGA-III) method to identify the optimal allocation of hybrid distributed energy resources (DERs) including photovoltaic system (PV), micro-turbine (MT), and fuel cell (FC) in distribution system considering four different load models such as industrial, residential, commercial and constant load model. With increasing the integration of renewable energy resources, the uncertainties resulting from these sources posed a serious challenge to the operation of the network. To be closer to the reality, the network performance is analyzed considering the influence of the uncertainties produced from RES. Point Estimate Method (PEM) is used to model the uncertainties generated from renewable energy resources. The main aim of this paper is to maximize technical and economic benefits of DERs by minimizing various objective functions such as the total power loss, cost, and voltage deviation subject to different power system constraints. Multi-objective planning framework is appraised using two standards IEEE networks with various scenarios. Comparative analyses are conducted on standard distribution systems under different load model and mix of different types of DERs. Level diagram is implemented to analysis and compares the influence of different combinations of load models on the system performance. The obtained results show that, the system performance is greatly influenced by uncertainties accompanied with DER and power system itself. The suggested multi-objective planning frameworks shows high accuracy compared to other techniques applied in previous researches.

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A multi-objective framework for distributed energy resources planning and storage management

Cited by 48 publications

References 50 publications

A Decentralized Control Strategy for Voltage Regulators and Energy Storage Devices in Active Unbalanced Distribution Systems

A Decentralized Control Strategy for Voltage Regulators and Energy Storage Devices in Active Unbalanced Distribution Systems

Optimum Parallel Processing Schemes to Improve the Computation Speed for Renewable Energy Allocation and Sizing Problems

Probabilistic Planning of Renewable Energy Source with Different Load Models

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