Hierarchical SCOPF Considering Wind Energy Integration Through Multiterminal VSC-HVDC Grids

Meng, Ke; Zhang, Wang; Li, Yujun; Zhang, Dong; Xu, Zhao; Wong, Kit Po; Zheng, Yu

doi:10.1109/tpwrs.2017.2679279

Cited by 51 publications

(24 citation statements)

References 46 publications

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“…Although the preventive control can enable the system to prevent unplanned operation conditions from occurring, this action normally incurs higher costs due to its inherent conservativeness [13]. Meanwhile, CC has been considered as an effective means for alleviating post-contingency system violations with lower costs [14]. As a result, it is a preferable choice to use CC as a possible control action [11].…”

Section: A Background and Motivationmentioning

confidence: 99%

“…In [26], an improved corrective SC-OPF was proposed by taking into account N-1 security constraints for AC/DC grids, in which a hybrid solution approach was developed. 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].…”

Section: B Related Workmentioning

confidence: 99%

“…Although significant studies in the existing literature have been performed on modeling and control of VSC-MTDC networks to optimize the operation of the meshed AC/VSC-MTDC system, there are still some research gaps in this field as follows. (1) Regarding optimized objectives, recent research suggests that voltage quality is of paramount importance for ensuring secure operation of the system since power flow between VSC-MTDC terminals is determined by DC voltage [14], however, until recently, the issue of coordinating economy and voltage quality of the AC/VSC-MTDC system has attracted rather little attention. (2) For solution methodologies, MOEAs such as NSGA-II in [30,32] can handle complex multi-objective optimization (MOO) issues, however they, as typical heuristics stochastic optimization algorithms, generally require amounts of computational time, which limits their real-world applications to some extent.…”

Section: Limitations and Contributionsmentioning

confidence: 99%

“…In this study, the outage line numbers and the control variables in (14) are used as the inputs, while the corresponding index PIc is the output. Once the Lasso is trained, it can predict PIc according to the control vector u.…”

Section: B Contingency Filteringmentioning

confidence: 99%

“…The well-known IEEE 14-bus system in the literature [14,22,25,26,30,31] is modified as the test case, which comprises 5 generators, 11 loads, 20 branches (including 17 AC lines, 3 DC lines), 1 RPC (connected to bus 9) and three modular multilevel converters, as shown in Fig. 4.…”

Section: A Case 1⎯ieee 14-bus Systemmentioning

confidence: 99%

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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: A Background and Motivationmentioning

confidence: 99%

Section: B Related Workmentioning

confidence: 99%

Section: Limitations and Contributionsmentioning

confidence: 99%

Section: B Contingency Filteringmentioning

confidence: 99%

Section: A Case 1⎯ieee 14-bus Systemmentioning

confidence: 99%

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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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A novel multi‐objective unified optimal power flow based methodology for optimal installation of VSC‐HVDC converter

Agrawal

Kundu

2021

Int Trans Electr Energ Syst

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Summary This paper proposes a novel methodology for installing a converter station at optimal AC bus in a hybrid AC‐DC system using a multi‐objective unified optimal power flow (MO‐UOPF). The MO‐UOPF model is developed here for the voltage source converter‐high voltage direct current (VSC‐HVDC) network. The various techno‐economic objectives are considered for the OPF problem: minimizing total generation cost, AC/DC transmission line losses with converter station losses, enhancement of voltage stability improvement, and reduction in CO2 gas emissions. The particle swarm optimization (PSO) algorithm has proven its superiority over many meta‐heuristic algorithms for solving the multi‐objective optimization problem. Also, various improved versions of PSO have been developed since its inception. Here, the MO‐UOPF problem is solved using a modified multi‐objective particle swarm optimization (MO‐PSO) technique with a simultaneous approach. The proposed methodology is analyzed with modified 5‐bus and IEEE‐30 bus test systems with different configurations for two‐terminal point‐to‐point transmission.

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Optimal Power Flow for Hybrid AC/MTDC Systems

2021

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Hierarchical SCOPF Considering Wind Energy Integration Through Multiterminal VSC-HVDC Grids

Cited by 51 publications

References 46 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

A novel multi‐objective unified optimal power flow based methodology for optimal installation of VSC‐HVDC converter

Optimal Power Flow for Hybrid AC/MTDC Systems

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