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Comparative Study of Optimal Controller Placement Considering Uncertainty in PV Growth and Distribution Grid Expansion
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Power System Operation and Control)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Power System Operation and Control)
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems. (Power System Operation and Control)
Vattenfall R&D.
2018 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 155C, 48-57 p.Article in journal (Refereed) Published
Abstract [en]

Distributed generation (DG) and especially grid-connected residential photovoltaic (PV) systems areemerging and high penetration levels of these can have an adverse impact on several low voltage (LV)distribution grids in terms of power quality and reliability. In order to reduce that effect in a cost-effectivemanner, the traditional distribution grid planning process is being reengineered by incorporating the gridcontrol operations and considering the uncertainties e.g., DG power, demand and urban/rural expansionplans. One of the challenges is to determine if the required technology deployment to operate the gridscan provide a better solution in terms of quality and cost than the traditional approach, which is prin-cipally based on cable reinforcement and change of transformers. In addition, if controllers were to bedeployed, it would be important to determine where they should be placed and at what stage of theexpansion planning, especially when the planning is assumed to be non-deterministic.Therefore, following this situation, in this paper we propose an optimal way to deploy and to operateutility’s controllable resources at the distribution grid and additionally we consider the uncertaintiesrelated to PV growth and distribution grid expansion. Thus, we include the non-deterministic multistageperspective to the controller placement problem. Furthermore, we perform a techno-economic analysis ofthe results and we show that an optimal controller placement allows removing the overvoltage problemsarising in the LV grid in a more cost-effective way compared to a typical traditional grid reinforcementapproach.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 155C, 48-57 p.
National Category
Engineering and Technology
Research subject
Electrical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-215872DOI: 10.1016/j.epsr.2017.10.001Scopus ID: 2-s2.0-85030835113OAI: oai:DiVA.org:kth-215872DiVA: diva2:1149482
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20171019

Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2017-11-06Bibliographically approved
In thesis
1. Cost-effective Communication and Control Architectures for Active Low Voltage Grids
Open this publication in new window or tab >>Cost-effective Communication and Control Architectures for Active Low Voltage Grids
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The monitoring and control of low voltage distribution grids has historically been disregarded due to the unidirectional flow of power. However, nowadays the massive integration of distributed energy resources into distribution grids, such as solar photovoltaics, distributed storage, electric vehicles and demand response programs, presents some challenges. For instance, the unidirectional top-down power flow is being replaced by power flows in any direction: top-down and bottom-up. This paradigm shift adds extra regulatory, economic, and technical complexity for the Distribution System Operators (DSO). Thus to overcome the possible operational constraints, thermal limits, or voltage problems in the grid, an update of the existing electricity infrastructures is required. In response to this new situation, this thesis investigates the cost-effective communication and control architectures that are required for active low voltage grid monitoring and control applications, considering the regulatory constraints and the efficient utilization of the assets from a DSO’s perspective. The solutions include: i) optimal sensor placement configuration to perform low voltage state estimation, ii) optimal metering infrastructure designs for active low voltage monitoring applications, iii) coordinated control strategies to allow the integration of microgrid-like structures into the distribution grids, iv) optimal placement of actuators for operating the control strategies, v) a multiagent-based control solution for self-healing and feeder reconfiguration applications, and vi) a framework model and simulations to assess the reliability of the ICT infrastructure that enables the monitoring and control applications. As concluding remark, since the deployment of technology at low voltage grids is restricted to assets owned by the DSO, the operability of the grid is limited. This condition makes it so that the required communication and control enhancement solutions shall prioritize cost-effectiveness over comprehensiveness and complexity. Thus, the results from the presented studies show that it is essential to perform thorough cost-benefit analyses of the potential improvement solutions for each grid, because this will allow deploying the right technology only at the necessary locations.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2017. 69 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2017:160
Keyword
Active low voltage distribution grids, CAPEX & OPEX, communication & control architectures, cost-effectiveness, MPC, multiagent systems, photovoltaics, voltage control.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-217271 (URN)978-91-7729-588-4 (ISBN)
Public defence
2017-12-18, Kollegiesal, Brinellvägen 8, KTH-huset, floor 4, KTH Campus, Stockholm, 10:00 (English)
Opponent
Supervisors
Funder
SweGRIDS - Swedish Centre for Smart Grids and Energy Storage
Note

QC 20171106

Available from: 2017-11-06 Created: 2017-11-06 Last updated: 2017-11-28Bibliographically approved

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