Multi-Scenario Based Bi-Level Coordinated Planning of Active Distribution System Under Uncertain Environment

Sannigrahi, Surajit; Ghatak, Sriparna Roy; Acharjee, Parimal

doi:10.1109/tia.2019.2951118

Cited by 38 publications

(21 citation statements)

References 24 publications

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“…Figure 5B represented the second test system, which is standard IEEE 69‐bus EDS, which is composed of 69 buses and 68 lines and branches. The data of these standard test systems are available in References 30–35.…”

Section: Results Discussion and Comparisonmentioning

confidence: 99%

“…The power balance equations 25–32 are used to describe equality constraints:

P_{G} + P_{DG} = P_{D} + P_{Loss}

Q_{G} + Q_{DSTATCOM} = Q_{D} + Q_{Loss}

…”

Section: Mathematical Problem Formulations Of Allocationmentioning

confidence: 99%

“…In addition, in 2020, applied Discrete Rooted Tree Optimization (DRTO) with uncertainty modeling of DG and load, 30 Analytical method‐based technical and economic centric integrated with different multi‐criteria decision‐making methodologies 31 . Applied Dynamic Adaptive PSO (DAPSO) algorithm for cooperative voltage control based reactive power scheduling, 32 Time‐Varying Acceleration PSO (TVA‐PSO) algorithm to maximizing the APL level in EDS, 33 Krill Herd Algorithm (KHA) as a powerful optimization solution is applied to solve the installation cost based on eco‐reliability stochastic modeling, 34 Improved Gray Wolf Algorithm (IGWA) for reducing the total investment costs and applied in Egyptian distribution networks 35 .…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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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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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Section: Results Discussion and Comparisonmentioning

confidence: 99%

“…The power balance equations 25–32 are used to describe equality constraints:

P_{G} + P_{DG} = P_{D} + P_{Loss}

Q_{G} + Q_{DSTATCOM} = Q_{D} + Q_{Loss}

…”

Section: Mathematical Problem Formulations Of Allocationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…A great number of them are discussed in [22,24]. The K-means clustering is one of the most popular and simple clustering algorithms; it was used by [4,22,[25][26][27] to group year profiles of loads and DERs within PDS, thus reducing the number of system states. As an important advantage, the clusters thus defined preserved the correlation between quantities of different nature, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…As an important advantage, the clusters thus defined preserved the correlation between quantities of different nature, e.g. loads and DERs; besides, these clusters are also used to solve the operational slave problem of multi-level optimization models [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

MILP model for volt-var optimization considering chronological operation of distribution systems containing DERs

Ferraz

Resener

Pereira

et al. 2021

International Journal of Electrical Power & Energy Systems

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This paper presents a mixed-integer linear programming model for volt-var optimization considering the chronological operation of distribution systems containing distributed energy resources (DERs). The proposed model describes the operation problem of capacitor banks (CBs) and voltage regulators (VRs), and it is further based on the steady-state operation during each time interval contained in typical scenarios of distribution systems. A procedure using a K-means clustering algorithm is used to select the scenarios, thus preserving the simultaneity and chronological combination of different loads and DERs. According to the formulation that we developed, the regulation devices become sensitive to downstream load variations, since we use explicit current variables to control automatic CBs, and since we include means to compensate voltage drops along distribution lines in the control of VRs. The model is validated by comparing the results obtained during several tests of two typical cases with those obtained through nonlinear power flow. The typical case studies presented in the paper highlight the good agreement between the results obtained with the linearized model and with power flow method; further, the practical results confirm that the use of typical scenarios allows representing different levels of loads and DERs, while keeping the validity and performance of the proposed model.

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A two‐stage multi‐period distribution network expansion planning considering the integration of private investors

Ashoornezhad

Falaghi

Hajizadeh

et al. 2021

Int Trans Electr Energ Syst

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In recent years, the emerging of renewable energy resources (RERs) in distribution networks has been rapidly raised by network planners. Although the integration of RERs brings a lot of advantages to distribution networks, they impose some disadvantages such as high initial capital investment on distribution companies (DISCO). This paper proposes a new two‐stage multi‐period distribution network expansion planning (DNEP), in which the potential of private investor's (PIs) participation is considered in the problem. In the proposed model, the planner presents an incentive price to buy energy from PIs so that it attracts them to participate in the planning projects. This incorporation is based on a long‐term contract that guarantees the benefits of both contract correspondents. The proposed model is presented as a hierarchical two‐stage optimization problem where the upper stage determines the general structure of the system and the lower level considers the operational conditions. Moreover, the photovoltaic plants (PVs) and energy storage systems (ESSs) are investigated as clean and new technologies in the planning, and DISCO determines the optimal sizing and sitting of these resources regarding technical and economical assessments. The fuzzy clustering method (FCM) is used to capture the intermittency of the system loads and solar irradiance by creating a day‐ahead scheme. The effectiveness of the proposed DNEP problem is evaluated through a 54‐bus distribution test system and a real 104‐bus test system as well. Simulation and economic results show that how PIs can play an important role in long‐term planning by investing RERs.

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Multi-Scenario Based Bi-Level Coordinated Planning of Active Distribution System Under Uncertain Environment

Cited by 38 publications

References 24 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

MILP model for volt-var optimization considering chronological operation of distribution systems containing DERs

A two‐stage multi‐period distribution network expansion planning considering the integration of private investors

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