Mixed AC high‐voltage direct current benchmark test system for security constrained optimal power flow calculation

Sass, Florian; Sennewald, Tom; Marten, Anne-Katrin; Westermann, Dirk

doi:10.1049/iet-gtd.2016.0993

Cited by 26 publications

(13 citation statements)

References 28 publications

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“…In [14], a hierarchical SCOPF model was developed for a hybrid AC/VSC-MTDC system with high wind penetration. A mixed AC-HVDC test system was presented for the evaluation of SC-OPF algorithms in [27]. Unfortunately, the above works were focused on mono-objective OPF for the AC/DC system.…”

Section: B Related Workmentioning

confidence: 99%

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering

2020

IEEE Access

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In order to coordinate the economy and voltage quality of a meshed AC/VSC-MTDC system, a new corrective security-constrained multi-objective optimal power flow (SC-MOPF) method is presented in this paper. A parallel SC-MOPF model with N-1 security constraints is proposed for corrective control actions of the meshed AC/DC system, in which the minimization of the generation cost and voltage deviation are used as objective functions. To solve this model, a novel parallel bi-criterion evolution indicator based evolutionary algorithm (BCE-IBEA) algorithm is developed to seek multiple well-spread Pareto-optimal solutions through the introduction of parallel computation. In this process, a least absolute shrinkage and selection operator (Lasso)-based N-1 contingency filtering scheme with a composite security index is developed to efficiently screen out the most severe cases from all contingencies. And thereby, the best compromise solutions reflecting the preferences of different decision makers are automatically determined via an integrated decision making technique. Case studies in the modified IEEE 14-and 300bus systems demonstrate that the presented approach manages to address this SC-MOPF problem with significantly improved computational efficiency.INDEX TERMS AC/DC system, multi-objective optimization, optimal power flow, VSC-HVDC, decision making, contingency filtering ,2 c PI are the c PI values, which are respectively obtained by using the Lasso approach and the direct computation according to (19).

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Section: B Related Workmentioning

confidence: 99%

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering

2020

IEEE Access

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“…This problem is known as security-constrained OPF (SCOPF) problem [8,11]. For more information about SCOPF, read the following References [6,12,13].…”

Section: Technical Literature Analysismentioning

confidence: 99%

“…Constraints (11) and (12) limit voltage bus angles for both pre-and post-contingency conditions, respectively. Last, slack reference is defined for both conditions using (13) and (14).…”

Section: Corrective Scopf Problem Using the Classical Dc-based Formulmentioning

confidence: 99%

Comparing Corrective and Preventive Security-Constrained DCOPF Problems Using Linear Shift-Factors

Hinojosa

2020

Energies

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This study compares two efficient formulations to solve corrective as well as preventive security-constrained (SC) DC-based optimal power flow (OPF) problems using linear sensitivity factors without sacrificing optimality. Both SCOPF problems are modelled using two frameworks based on these distribution factors. The main advantage of the accomplished formulation is the significant reduction of decision variables and—equality and inequality—constraints in comparison with the traditional DC-based SCOPF formulation. Several test power systems and extensive computational experiments are conducted using a commercial solver to clearly demonstrate the feasibility to carry out the corrective and the preventive SCOPF problems with a reduced solution space. Another point worth noting is the lower simulation time achieved by the introduced methodology. Additionally, this study presents advantages and disadvantages for the proposed shift-factor formulation solving both corrective and preventive formulations.

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“…For a recent literature review in these issues, we recommend the following references: References [12][13][14].…”

Section: Dcopf Literature Reviewmentioning

confidence: 99%

Preventive Security-Constrained DCOPF Formulation Using Power Transmission Distribution Factors and Line Outage Distribution Factors

Hinojosa

González-Longatt

2018

Energies

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This study proposes a very effective formulation to carry out the security-constrained direct current (DC)-based optimal power flow (OPF) problem using two linear factors: (i) the power transmission distribution factors (PTDF) and (ii) the line outage distribution factors (LODF). The security-constrained (SC) DCOPF problem has been reformulated using these linear distribution factors, and mainly the pre-and post-contingency constraints have been added into the optimization problem based on the active power unit generation (decision variables). The main advantage of this formulation is the reduction of decision variables as well as equality and inequality constraints. To validate the introduced formulation, several experiments have been conducted using MatPower, DIgSILENT Power Factory and Gurobi. Simulation results demonstrate both the feasibility to carry out the SCOPF problem and the potential applicability of the proposed formulation to medium and large-scale power systems.

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Mixed AC high‐voltage direct current benchmark test system for security constrained optimal power flow calculation

Cited by 26 publications

References 28 publications

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System With Lasso-Based Contingency Filtering

Comparing Corrective and Preventive Security-Constrained DCOPF Problems Using Linear Shift-Factors

Preventive Security-Constrained DCOPF Formulation Using Power Transmission Distribution Factors and Line Outage Distribution Factors

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