Optimal Reactive Power Dispatch for Voltage Regulation in Unbalanced Distribution Systems

Robbins, Brett; Domínguez-García, Alejandro D.

doi:10.1109/tpwrs.2015.2451519

Cited by 249 publications

(138 citation statements)

References 20 publications

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“…semidefinite programming was used in [18] to solve the DSP in an unbalanced system without considering the mutual inductance between the phases. Neglecting the voltage unbalance at system buses, semidefinite programming was applied in [13] and [19] to solve the DSP. These assumptions are not reasonable for practical systems, where voltage unbalance really matters and sometimes voltage unbalance minimization is at least considered as one of the objectives.…”

Section: A Literature Reviewmentioning

confidence: 99%

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Strategic Scheduling of Discrete Control Devices in Active Distribution Systems

Nouri

Soroudi

Keane

2020

IEEE Trans. Power Delivery

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The frequent actuation of discrete control devices (DCDs), e.g., on-load tap changers, drastically reduces their lifetime. This, in turn, imposes a huge replacement cost. Simultaneous scheduling of these DCDs and continuous control devices, e.g., distributed energy resources, is imperative for reducing the operating cost. This also increases the lifetime of DCDs and helps to avoid the sub-optimal/infeasible solutions. Considering the high cost of discrete control actions (DCAs), they may never be justified against the other options in a short scheduling horizon (SH). With a longer SH, their benefits over a long period justify DCAs. However, a shorter SH helps to hedge against the risk impelled by uncertainties. Here, the system future is modeled as a set of multi-period scenarios. The operator exploits a long SH, but solely applies the decisions made for the first period and waits for updated data to make the next decisions. This enables cost reduction by strategically applying DCAs prior to the time that they are inevitable, while avoiding them when unneeded. The proposed branch-and-cut-based solution methodology accurately deals with DCAs while applying some expediting heuristics. During the branching process, a globally convergent trust region algorithm solves the integer relaxed problems. BC Branch and cut CB Capacitor bank DCA Discrete controllable action DCC Discrete control cost DCD Discrete controllable device DER Distributed energy resource DSP Distribution scheduling problem LP Linear programming MILP Mixed integer linear programming MINLP Mixed integer nonlinear programming NLP Nonlinear programming OC Operation cost OLTC On load tap changer PDF Probability density function RES Renewable energy sources RHC Receding horizon control SH Scheduling horizon SOCP Second-order cone programming SVR Static voltage regulator SA Solution approaches A. Nouri (alireza.nouri@ucd.ie), A. Soroudi (alireza.soroudi@ucd.ie) and A. Keane (andrew.keane@ucd.ie) are with the

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Section: A Literature Reviewmentioning

confidence: 99%

“…The minimum turn ratio is r. The linear counterpart of first equation in (16) is provided in (18) (imaginary component). Linear terms γ m satisfies (19), where σ is a binary variable. For V sy ≥ 0, σ=1.…”

Section: A Fast Control Devicesmentioning

confidence: 99%

Strategic Scheduling of Discrete Control Devices in Active Distribution Systems

Nouri

Soroudi

Keane

2020

IEEE Trans. Power Delivery

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“…For unbalanced systems, due to mutual inductances and unbalanced currents and voltages, the DSP cannot be reformulated as an SDP problem based on branch flow model. A formulation was proposed in [9] to include OLTC transformers in branch flow model neglecting the iron losses and effects of tap-changing operations on transformer series impedance. SDP was applied in [9] and [10] to solve the DSP in unbalanced systems neglecting the voltage unbalances and mutual inductances, respectively.…”

Section: A Review Of the Related Literaturementioning

confidence: 99%

“…A formulation was proposed in [9] to include OLTC transformers in branch flow model neglecting the iron losses and effects of tap-changing operations on transformer series impedance. SDP was applied in [9] and [10] to solve the DSP in unbalanced systems neglecting the voltage unbalances and mutual inductances, respectively. Such assumptions are not acceptable for practical systems, where the voltage unbalance really matters.…”

Section: A Review Of the Related Literaturementioning

confidence: 99%

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Fast Resource Scheduling for Distribution Systems Enabled With Discrete Control Devices

Nouri

Soroudi

Keane

2020

IEEE Systems Journal

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This paper proposes a framework for fast shortterm scheduling and steady state voltage control in distribution systems enabled with both continuous control devices, e.g., inverter interfaced DGs and discrete control devices (DCDs), e.g., on-load tap changers (OLTCs). The voltage-dependent nature of loads is taken into account to further reduce the operating cost by managing the voltage levels. Branch and cut method is applied to handle the integrality constraints associated with the operation of DCDs. A globally convergent trust region algorithm (TRA) is applied to solve the integer relaxed problems at each node during the branching process. The TRA sub-problems are solved using interior point method. To reduce the branching burden of branch and cut algorithm, before applying TRA at each node, a simplified optimization problem is first solved. Using the convergence status and value of objective function of this problem, a faster decision is made on stopping the regarding branch. Solving the simplified problem obviates the application of TRA at most nodes. It is shown that the method converges to the optimal solution with a considerable saving in computation time according to the numerical studies. Index Terms-Mixed integer programming, resource scheduling, smart grids, voltage control LIST OF ABBREVIATIONS BC Branch and cut CB Capacitor bank DCD Discrete controllable device DER Distributed energy resource DSP Distribution scheduling problem FR Feasible region MINLP Mixed integer nonlinear programming NLP Nonlinear programming OLTC On load tap changer OPF Optimal power flow RR Renewable resource SDP Semidefinite programming SOCP Second-order cone programming SVR Static voltage regulator TRA Trust region algorithm I. INTRODUCTION T HE RESOURCE scheduling in current distribution systems is a critical task due to the high penetration of distributed energy resources (DERs), fast load variations [1], A. Nouri (alireza.nouri@ucd.ie), A. Soroudi (alireza.soroudi@ucd.ie) and A. Keane (andrew.keane@ucd.ie) are with the

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Performance comparison of optimum power flow based on the sequential second‐order cone programming in unbalanced low voltage distribution networks with distributed generators

Manamperi¹,

Ekanayake

2021

Int Trans Electr Energ Syst

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A solution technique using sequential second-order cone programming to solve the optimum power flow problem in low voltage (LV) distribution networks with distributed generation is developed. A novel bound tightening method is suggested to get exact solutions with few iterations. A novel approximation method is suggested to increase exactness by approximating phase angle dependent components. The performance of the suggested solution method is compared with linear programming, genetic algorithm, particle swarm, sequential quadratic programming with multiple start points, and global search-based optimization methods. The exactness of the generated solutions is validated after comparison with a load flow. The proposed algorithm provides better performance in optimality, execution time, and exactness compared to other methods.distributed generation, optimum power flow, power distribution system, second-order cone programming | INTRODUCTIONOptimum power flow (OPF) is used as a tool to optimally control controllable devices such as smart inverters, batteries, tap changing transformers, and static var compensators in LV networks. OPF for transmission networks is widely discussed in the literature, and they are used in day-to-day operations in transmission system control centers. 1,2 With the increased penetration of renewable energy in low voltage distribution systems, the use of OPF for controlling power

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Optimal Reactive Power Dispatch for Voltage Regulation in Unbalanced Distribution Systems

Cited by 249 publications

References 20 publications

Strategic Scheduling of Discrete Control Devices in Active Distribution Systems

Strategic Scheduling of Discrete Control Devices in Active Distribution Systems

Fast Resource Scheduling for Distribution Systems Enabled With Discrete Control Devices

Performance comparison of optimum power flow based on the sequential second‐order cone programming in unbalanced low voltage distribution networks with distributed generators

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