Robust control strategy for PV system integration in distribution systems

This paper proposes an optimal linear quadratic Gaussian (LQG) controller for D-STATCOM to improve the dynamic performance of distribution networks with photovoltaic generators. The controller is designed based on the H ∞ norm of the uncertain system. The change in system model due to the variation of load compositions in the composite load is considered as an uncertain term in the design algorithm. The performance of the designed controller is demonstrated on a widely used test system. Simulation results indicate that the proposed controller can be a potential solution for improving the voltage stability of distribution networks.

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“…Step 2 Find the smallest upper bound γ on the norm of the uncertain system so that (14) is satisfied.…”

Section: Design Steps and Performance Evaluationmentioning

confidence: 99%

D-STATCOM control in distribution networks with composite loads to ensure grid code compatible performance of photovoltaic generators

Roy

Pota

Mahmud

et al. 2013

2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA)

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“…With the presence of DG, the power system is changing, i.e., a large number of DG units are commonly connected to a distribution network which transform into active modern distribution network with bidirectional power flows defined by the load profile and power generation of the DG units [19]. By connecting the DG units to a distribution network, the power losses and node voltages are changing [20]. The energy loss variation as a function of the penetration level of DG according to [17,21] forms a U-shape trajectory in all the situations, which is also supported by studies in [3,22].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Expansion-Limit through a Net Energy Metering Scheme for Selected Malaysian Public Hospitals

et al. 2019

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This paper presents an optimization approach in determining the expansion-limit of Renewable Distributed Generation (DG) capacity through a Net Energy Metering (NEM) scheme specifically for selected Malaysian public hospitals. In this study, the total line loss reduction was analyzed and set as the main objective function in the optimization process where an acceptance region for DG extensiveness was proposed via the lower total line loss outcome value. Solar photovoltaic (PV)-type DG unit (PV-DG) was identified as the type of DG used in this paper. Artificial Bee Colony (ABC) algorithm was chosen to alleviate such PV-DG optimization. The distribution network uses a bus and line data setup from the three selected Malaysian public hospitals prior to three different levels, i.e., National, State, and District level hospitals. MATLAB simulation result showed the PV-DG expansion capacity towards bigger scale and location bounded by the U-trajectory shape theory which resulted in a contradiction between NEM current maximum capacity requirement and actual PV-DG expansion-limit. These limitations were also found to be different among three different level hospitals, and the expansion-limit was tailored by their own distribution network parameters. Thus, this paper provides technical justification and gives the best option to the renewable energy (RE) developer for more effective PV-DG integration through the utilization of a NEM scheme. The importance of the study is portrayed in-depth towards achieving a more sensible and accurate way of estimating the outcome. This will encourage developers, building owners, and users in participating towards achieving potential benefits both in monetary and power system reliability improvement, specifically for Malaysian public hospital applications.

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“…[1], [2]. The knowledge of the real-time PV generation potential is an important input for self-consumption strategies, [3], [4], local control of power systems, [5], [6], and creation of historical datasets. These datasets are widely used for both the training of data-driven forecasting models, [7]- [10], and to infer local behavior of PV generation starting from information at higher spatial and time resolution, [11].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic-Model-Based Solar Irradiance Estimators: Performance Comparison and Application to Maximum Power Forecasting

Scolari

Sossan

Paolone

2018

IEEE Trans. Sustain. Energy

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Abstract-Due to the increasing proportion of distributed photovoltaic (PV) production in the generation mix, the knowledge of the PV generation capacity has become a key factor. In this work, we propose to compute the PV plant maximum power starting from the indirectly-estimated irradiance. Three estimators are compared in terms of i) ability to compute the PV plant maximum power, ii) bandwidth and iii) robustness against measurements noise. The approaches rely on measurements of the DC voltage, current, and cell temperature and on a model of the PV array. We show that the considered methods can accurately reconstruct the PV maximum generation even during curtailment periods, i.e. when the measured PV power is not representative of the maximum potential of the PV array. Performance evaluation is carried out by using a dedicated experimental setup on a 14.3 kWp rooftop PV installation. Results also proved that the analyzed methods can outperform pyranometer-based estimations, with a less complex sensing system. We show how the obtained PV maximum power values can be applied to train time series-based solar maximum power forecasting techniques. This is beneficial when the measured power values, commonly used as training, are not representative of the maximum PV potential.

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Robust control strategy for PV system integration in distribution systems

Cited by 48 publications

References 29 publications

D-STATCOM control in distribution networks with composite loads to ensure grid code compatible performance of photovoltaic generators

D-STATCOM control in distribution networks with composite loads to ensure grid code compatible performance of photovoltaic generators

Photovoltaic Expansion-Limit through a Net Energy Metering Scheme for Selected Malaysian Public Hospitals

Photovoltaic-Model-Based Solar Irradiance Estimators: Performance Comparison and Application to Maximum Power Forecasting

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