Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices

Jha, Rakesh Kumar; Dubey, Anamika; Liu, Chen‐Ching; Schneider, Kevin P.

doi:10.1109/tpwrs.2018.2890613

Cited by 130 publications

(63 citation statements)

References 24 publications

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“…In the study, the ϕ-th voltage regulator is assumed to have 2N tap taps for its regulated voltage, V tap ϕ , ranging from -N tap to N tap , as shown in the integer constraint of (6) [37], [38]. V min tap ϕ and V max tap ϕ are the minimum and maximum regulator voltages, respectively, as shown in (7).…”

Section: ) Tap Positions Of Voltage Regulatormentioning

confidence: 99%

Coyote Optimization Algorithm-Based Approach for Strategic Planning of Photovoltaic Distributed Generation

Chang

Chinh

2020

IEEE Access

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The optimal planning for distributed generations (DGs) associated with photovoltaics (PVs) in the utility-owned distribution system is crucial for increasing high penetration of renewables while against practical system operation constraints. Such PV-DG planning is categorized as a complicated mixed-integer nonlinear programming (MINLP) problem and is extremely difficult to solve by using conventional methods. In recent years, several bio-inspired metaheuristic algorithms have been proposed to tackle various complicated real-parameter optimization problems. This paper proposes a two-stage approach including a new bio-inspired algorithm, Coyote Optimization Algorithm (COA), to solve the large-scale MINLP PV-DG sizing problem considering different load levels. The objective function terms under consideration include the total system power loss and voltage regulator tap changes at different load levels while against limits of rms bus voltages, tap changes, and PV-DG constraints at each candidate bus. The proposed method is tested using the IEEE 123-bus unbalanced benchmark system and an actual utility distribution network. Results obtained are then compared with those obtained by a classic MINLP solver-based and four other bio-inspired methods. Moreover, results also show that the proposed method leads to lower loss, a minimum number of regulator tap changes, and higher PV penetration capacity among the compared methods and is suitable for solving the large-scale PV-DG planning problem in distribution systems.

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Section: ) Tap Positions Of Voltage Regulatormentioning

confidence: 99%

Coyote Optimization Algorithm-Based Approach for Strategic Planning of Photovoltaic Distributed Generation

Chang

Chinh

2020

IEEE Access

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“…The balance equation for the active power flow is illustrated in (6) where the active power flow at branch uv (P line uv,t ) is written in terms of the nodal active power (P node v,t ) at consumer v and the sum of the active power flow from node v to node w where w is in a set of downstream nodes D v that are connected to node v. The nodal active power P node u,t is expressed as the gap between the net power consumption and net power supply to the grid in (7). Equation (8) illustrates that the active power load consumption P load u,t is the sum of active power consumption for controllable load (P c u,t ) (air conditioner in this paper) and uncontrollable load (P uc u,t ). Equation 9defines the operation of the state of charge (SOC) for the ESS at the current time t in terms of the SOC at the previous time t-1, battery capacity E ESS,max u , charging and discharging efficiency, η ch u and η dch u , respectively, and charging and discharging power for consumer u, P ESS,ch…”

Section: B Conventional Hems Optimization Modelmentioning

confidence: 99%

“…Conservation voltage reduction (CVR) is one of the main applications of VVO in distribution management systems. The CVR method is a cost efficient solution, which lowers distribution voltages to allow for consumer energy savings and peak demand reduction while keeping consumer voltages above the minimum operating limits through the coordination of an OLTC, capacitor banks, and the smart inverters of DERs [8]. Much research has focused on the development of the CVR and VVO methods and the assessment of their impact on distribution grid operations and energy savings in the following three schemes.…”

Section: Introductionmentioning

confidence: 99%

Smart Home Energy Management in Unbalanced Active Distribution Networks Considering Reactive Power Dispatch and Voltage Control

Mak

Choi

2019

IEEE Access

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This paper presents a new optimization algorithm for home energy management systems (HEMSs) in three-phase unbalanced low-voltage (LV) distribution networks. Compared with conventional HEMS optimization methods, which consider only the active power consumption scheduling for smart home appliances and distributed energy resources (DERs) (e.g., solar photovoltaic (PV) systems and energy storage systems (ESSs)), the novelty of the proposed approach is to consider: i) both active and reactive power consumption schedulings of home appliances and DERs, ii) realistic three-phase unbalanced LV distribution networks with voltage-dependent load models, and iii) voltage control using an on-load tap changer transformer and smart inverters of PV system and ESS at the households. The proposed HEMS optimization algorithm, which is formulated using mixed-integer linear programming, is tested in the modified CIGRE LV distribution network. Numerical examples demonstrate the performance of the proposed algorithm in terms of active/reactive power consumption, three-phase voltage magnitudes, and the total cost of electricity. INDEX TERMS Home energy management, smart household appliance, three-phase unbalanced distribution system, reactive power dispatch, voltage control, voltage dependent load.

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“…Centralized VVC approach has been investigated in Satsangi and Kumbhar analyzing the impact of different load models. An investigation on loss of life estimation of distribution transformer through VVO method has been carried out in Kanhaiya et al A bilevel VVO approach has been introduced in Jha et al to coordinate the smart inverter dispatch and VVC devices simultaneously. In order to control the voltage and loss minimization, an optimal coordination scheme for VVC devices and reconfiguration switches through hybrid optimization has been proposed in Murty and Sharma .…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency and peak load management via CVR and distributed energy storage in active distribution grid

Singh

Pamshetti

2020

Int Trans Electr Energ Syst

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Summary Energy conservation through voltage reduction and distributed energy storage (DES) technology emerged as a potential candidate for peak load relief in distribution grid. However, lack of coordination between network controls such as conservation voltage reduction (CVR) and assets (DES) may cause detrimental impact on smart grid operations. Therefore, this paper reports on the need for coordination of CVR and DES for maximizing the benefits of both approaches. The impact of integrated operation of CVR devices and DES on energy saving and peak demand reduction have been investigated. The CVR scheme has been implemented using discrete gravitational search algorithm‐driven Volt‐ampere reactive (VAR) optimization (VVO) in the presence of distributed energy sources (DER). Such a smart grid‐enabled centralized CVR scheme has been proposed to be deployed in the grid and integrated with a community energy storage (CES) as DES. The main task of the VVO engine is to minimize the total power demand through optimal settings of Volt‐VAR control (VVC) devices. In order to demonstrate the benefits of integrated operation of CVR and CES, the studies have been carried out in three cases, namely without CVR, VVO‐based CVR, and CVR with CES in presence of both nonrenewable and renewable (wind) type DERs. Moreover, the impact of the proposed method has not only been demonstrated on hourly varying load of the year but during peak load hour also. Besides, the techno‐economic and environmental assessment of combined operation of CES and CVR has been done. The Institute of Electrical and Electronics Engineers (IEEE) 123‐bus unbalanced distribution network with the modification to include the DER and CES system apart from CVR devices has been chosen to corroborate the performance of the proposed method. The test results reveal that the proposed integration method of CVR and CES achieve higher peak sharing and energy saving with reduced carbon emission. In addition, the method assists the demand balancing. Besides, the by‐product of CES control strategy has been demonstrated for mitigation of rise in neutral currents.

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Bi-Level Volt-VAR Optimization to Coordinate Smart Inverters With Voltage Control Devices

Cited by 130 publications

References 24 publications

Coyote Optimization Algorithm-Based Approach for Strategic Planning of Photovoltaic Distributed Generation

Coyote Optimization Algorithm-Based Approach for Strategic Planning of Photovoltaic Distributed Generation

Smart Home Energy Management in Unbalanced Active Distribution Networks Considering Reactive Power Dispatch and Voltage Control

Energy efficiency and peak load management via CVR and distributed energy storage in active distribution grid

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