Centralized-local PV voltage control considering opportunity constraint of short-term fluctuation

Li, Hanshen; Liu, Wenxia; Lei, Yu

doi:10.1016/j.gloei.2023.02.007

Cited by 5 publications

(4 citation statements)

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“…In this regard, DSOs developed various voltage controls to improve voltage quality over MV/LV grids: centralised control, decentralised autonomous control (or local), and decentralised coordinated control [29][30][31]. DSOs, which implement centralised control, send command signals to DERs [32], OLTCs, or STATCOMs [33]; they act as central coordinators and network supervisors in the centralised mechanism, communicating with all the network agents to fully exploit the resources' flexibility. However, centralised control requires the coordinator to constantly have access to all the information needed to operate the grid, which is not always feasible or economically viable.…”

Section: Voltage Regulation In Modern Distribution Networkmentioning

confidence: 99%

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

Daccò,

Falabretti,

Ilea

et al. 2024

Electricity

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The global capacity for renewable electricity generation has surged, with distributed photovoltaic generation being the primary driver. The increasing penetration of non-programmable renewable Distributed Energy Resources (DERs) presents challenges for properly managing distribution networks, requiring advanced voltage regulation techniques. This paper proposes an innovative decentralised voltage strategy that considers DERs, particularly inverter-based ones, as autonomous regulators in compliance with the state-of-the-art European technical standards and grid codes. The proposed method uses an optimal reactive power flow that minimises voltage deviations along all the medium voltage nodes; to check the algorithm’s performance, it has been applied to a small-scale test network and on a real Italian medium-voltage distribution network, and compared with a fully centralised ORPF. The results show that the proposed decentralised autonomous strategy effectively improves voltage profiles in both case studies, reducing voltage deviation by a few percentage points; these results are further confirmed through an analysis conducted over several days to observe how seasons affect the results.

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Section: Voltage Regulation In Modern Distribution Networkmentioning

confidence: 99%

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

Daccò,

Falabretti,

Ilea

et al. 2024

Electricity

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“…Power flow equations are transformed into linearized DistFlow equations. A combination of centralized and local PV inverter active and reactive power control is presented in [14]. The proposed OPF-based model is divided into two phases.…”

Section: Introductionmentioning

confidence: 99%

“…The Volt-Var control approach is divided into three stages in [27] that include central and local Volt-Var control for voltage deviation and network loss reduction. The first two stages have a similar principle as in [13,14]. Reactive power control in real-time is presented in the third stage.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

Dubravac,

Žnidarec,

Fekete

et al. 2023

Applied Sciences

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The high expansion of a variable and intermittent nature of distributed generation, such as photovoltaics (PV), can cause technical issues in existing distribution networks (DN). In addition to producing electrical energy, PVs are inverter-based sources, and can help conventional control mechanisms in mitigating technical issues. This paper proposes a multi-stage optimal power flow (OPF)-based mixed-integer non-linear programming (MINLP) model for improving an operation state in LV PV-rich DN. A conventional control mechanism such as on load tap changer (OLTC) is used in the first stage to mitigate overvoltage caused by PVs. The second stage is related to reducing losses in DN using reactive power capabilities from PVs, which defines the optimization problem as a fully centralized observed from the distribution system operator’s (DSO) point of view. The optimization problem is realized under the co-simulation approach in which the power system analyzer and computational intelligence (CI) optimization method interact through an interface. This approach allows keeping the original MINLP model without approximations and using any computational intelligence method. OpenDSS is used as a power system analyzer, while particle swarm optimization (PSO) is used as a CI optimization method in this paper. Detailed case studies are performed and analyzed over a single-day period. To study validation and feasibility, the proposed model is evaluated on the IEEE LV European distribution feeder. The obtained results suggest that a combination of conventional control mechanisms (OLTC) and inverter-based sources (PVs) represent a promising solution for DSO and can serve as an alternative control method in active distribution networks.

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“…Output fluctuation constraint [17,18] Energy storage is mainly used to smooth the total output power of wind and PV. Using the energy management system, the total output value and the reference output value of wind, PV, thermal power, and energy storage can be known.…”

mentioning

confidence: 99%

Optimal Configuration of Wind-PV and Energy Storage in Large Clean Energy Bases

Liu,

Zhang,

Wang

et al. 2023

Sustainability

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The installed capacity of energy storage in China has increased dramatically due to the national power system reform and the integration of large scale renewable energy with other sources. To support the construction of large-scale energy bases and optimizes the performance of thermal power plants, the research on the corporation mode between energy storage and thermal energy, including the optimization of energy-storage capacity and its operation in large-scale clean energy bases. In this paper, a large-scale clean energy base system is modeled with EBSILON and a capacity calculation method is established by minimizing the investment cost and energy storage capacity of the power system and constraints such as power balance, SOC, and power fluctuations. The research proposed a method of using coupled system of thermal energy storage systems primarily based on molten salt thermal storage and thermal power generation for rough modulation and using battery energy storage system for fine modulation tasks. Example of fine modulation includes frequency modulation and heating demand of the district, which significantly reduces the energy storage investment by more than 95%. A case study of a 10 MW clean energy base is conducted. The result shows that the overall pre-tax internal rate of return of the base project is 8%, which has good economic benefits.

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Centralized-local PV voltage control considering opportunity constraint of short-term fluctuation

Cited by 5 publications

References 0 publications

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

Decentralised Voltage Regulation through Optimal Reactive Power Flow in Distribution Networks with Dispersed Generation

Multi-Stage Operation Optimization of PV-Rich Low-Voltage Distribution Networks

Optimal Configuration of Wind-PV and Energy Storage in Large Clean Energy Bases

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