Pathway to cost-efficient state estimation of future distribution networks

Liao, Huilian; Milanović, Jovica V.

doi:10.1109/pesgm.2016.7741337

Cited by 14 publications

(8 citation statements)

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“…Initially (case 1), it is assumed that 14 measurements from the substation (bus 30), the far end of the feeders (buses: 2,11,14,16,18,19,22,23,24,25), and lines (6-7, and 17-19, i.e., close to the substation and at the far end of the longest feeder) are available. Thus, measurements are available for eleven power injections (net active/reactive power at the bus that can be obtained via load generation forecasting), two line flows (active/reactive power), and one voltage (at the substation).…”

Section: Case Studymentioning

confidence: 99%

“…However, now, to address the challenges resulting from the increasing penetration of flexible resources and DGs at DN, real-time network models based on DSSE are becoming more essential for operation and control of the DN [11]. In the available literature, many vital issues in the development of DSSE have been discussed [12][13][14]. Proposed algorithms have been categorized based on simplification in order to speed up the estimation, selection of the state variables, and the procedures for integrating diverse measurements.…”

Section: Introductionmentioning

confidence: 99%

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Integrated Approach for Network Observability and State Estimation in Active Distribution Grid

2019

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This paper presents a unique integrated approach to meter placement and state estimation to ensure the network observability of active distribution systems. It includes observability checking, minimum measurement utilization, network state estimation, and trade-off evaluation between the number of real measurements used and the accuracy of the estimated state. In network parameter estimation, observability assessment is a preliminary task. It is handled by data analysis and filtering followed by calculation of the triangular factors of the singular, symmetric gain matrix using an algebraic method. Usually, to cover the deficiency of essential real measurements in distribution systems, huge numbers of virtual measurements are used. These pseudo measurements are calculated values, which are based on the network parameters, real measurements, and forecasted load/generation. Due to the application of a huge number of pseudo-measurements, large margins of error exists in the calculation phase. Therefore, there is still a high possibility of having large errors in estimated states, even though the network is classified as being observable. Hence, an integrated approach supported by forecasting is introduced in this work to overcome this critical issue. Finally, estimation of the trade-off in accuracy with respect to the number of real measurements used has been evaluated in order to justify the method’s practical application. The proposed method is applied to a Danish network, and the results are discussed.

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Section: Case Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated Approach for Network Observability and State Estimation in Active Distribution Grid

2019

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“…Distribution networks in future will be more complex, flexible, controllable and smarter [23]. It will be more active in operation with the large scale of DGs and different formats of demand response schemas from customers' engagement.…”

Section: Future Distribution Networkmentioning

confidence: 99%

“…Thus, the operation conditions can be better predicted. Future network analysis can explore on artificial intelligence more for network operation, in order to achieve a smarter grid with a fast response to changes network in networks [14,23].…”

Section: Big Data and Challengementioning

confidence: 99%

Review on Distribution Network Optimization under Uncertainty

Liao

2019

Energies

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With the increase of renewable energy in electricity generation and increased engagement from demand sides, distribution network planning and operation face great challenges in the provision of stable, secure and dedicated service under a high level of uncertainty in network behaviors. Distribution network planning and operation, at the same time, also benefit from the changes of current and future distribution networks in terms of the availability of increased resources, diversity, smartness, controllability and flexibility of the distribution networks. This paper reviews the critical optimization problems faced by distribution planning and operation, including how to cope with these changes, how to integrate an optimization process in a problem-solving framework to efficiently search for optimal strategy and how to optimize sources and flexibilities properly in order to achieve cost-effective operation and provide quality of services as required, among other factors. This paper also discusses the approaches to reduce the heavy computation load when solving large-scale network optimization problems, for instance by integrating the prior knowledge of network configuration in optimization search space. A number of optimization techniques have been reviewed and discussed in the paper. This paper also discusses the changes, challenges and opportunities in future distribution networks, analyzes the possible problems that will be faced by future network planning and operations and discusses the potential strategies to solve these optimization problems.Keywords: distribution network optimization; flexibility exchange; demand side management; network planning and operation IntroductionDistribution networks face great challenges with the changes in current and future distribution networks, such as the inclusion of more green energy, installation of more controllable power electronic devices, differentiated power quality requirements from different customers and increased active engagement from customer sides. To provide stable and greener electricity and meet the requirements from various stakeholders, the network should properly plan and utilize the available network resources to meet the constraints, improve quality of services and reduce the operating cost. Proper planning/operation strategies enable the cost-effective running of the network and improved customer experience in using electricity or participating in network operation/management. Distribution planning and operation problems (such as the integration of more renewable energy, the utilization of flexibility resources and customer engagement for various purposes, etc.) can be tackled with appropriate definition of optimization problems and the use of properly tailored optimization techniques. The research on distribution system optimization can be broadly divided into two categories:(1) Planning: With the global trend of using more renewable energy to reduce emission, one of the challenges in distribution system planning nowadays is to integrate more distrib...

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“…These initiatives have motivated the proposition and development of distribution system state estimators to provide the real-time monitoring capabilities required by the many new automatic functionalities. Several works in distribution system state estimation pointed some crucial challenges yet to be dealt with, from both a theoretical as well as practical requirements (Gómez-Exposito et al, 2011a;Lefebvre;Prévost;Lenoir, 2014;Della Giustina et al, 2014;Liao;Milanovic, 2016;Primadianto;Lu, 2017;Ahmad et al, 2018;Dehghanpour et al, 2019):…”

Section: Motivationsmentioning

confidence: 99%

A Bayesian perspective for distribution system state estimation: theoretical and practical considerations

Massignan¹

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This Thesis is dedicated to my supportive and loving parents, Eduardo and Mara, my dear brothers João Paulo, Luiz Fernando and Eduardo Junior an to my beloved wife Geise.Thanks to my beloved wife Geise, whose affection, support, patience and trust were my safe harbour in all these years, and with whom I am very happy to share special moments. Thanks also to Ivonete, her mother, Joyce, her sister, a second family that I felt welcomed in.Thanks to Prof. João Bosco Augusto London Jr. that provided me many opportunities and helped me to succeed, for his exceptional support and guidance throughout my career, for providing the resources and space for my research, for his friendship and many councils all these years, and for being the caring person he is, someone I can call a true mentor in my life.Thanks to Prof. Vladimiro Miranda that expanded my research horizon, reinforced my confidence, for the many histories and wisdom shared, and for his true enthusiasm for science.Thanks to Prof. Carlos Maciel and Prof. Benvindo Pereira for the many discussions, exploring new concepts, and for their collaborative support and friendship in all these years.

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Pathway to cost-efficient state estimation of future distribution networks

Cited by 14 publications

References 50 publications

Integrated Approach for Network Observability and State Estimation in Active Distribution Grid

Integrated Approach for Network Observability and State Estimation in Active Distribution Grid

Review on Distribution Network Optimization under Uncertainty

A Bayesian perspective for distribution system state estimation: theoretical and practical considerations

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