Jiang, Xun ![]() ![]() Item availability restricted. |
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Abstract
Soft open points (SOPs), which are advanced power electronic devices placed at normally open points of electricity distribution networks, have proved to be an alternative to enhance the hosting capacity of the distribution network. To conduct effective hosting capacity assessment and active management of distribution networks with SOPs, this thesis develops a novel feasible operation region (FOR) methodology. The FOR is denoted as the range of nodal power injections of a distribution network, within which no network constraints are violated. The FOR boundaries represent the maximum power injections that can be hosted by a distribution network, offering insights into the network hosting capacity. It can also be a useful tool for active management and efficient expansion of distribution networks. In this thesis, quadratic analytical expressions of the FOR boundaries are first developed. An effective high-dimensional error analysis approach is subsequently provided for validating the analytical FOR boundaries. Simulation results show that the quadratic analytical boundaries well approximate the real FOR boundaries. Compared to the existing linear approximation (termed as hyperplane expressions) of FOR boundaries, the proposed quadratic expressions are proved to have higher accuracy. Based on the developed expressions of FOR boundaries, this thesis further models the FOR of a distribution network with SOPs (denoted as FORSOP) as the Minkowski Sum of the FOR of the distribution network and the range of power transfer of SOPs. A practical Minkowski Sum algorithm is further developed to derive the analytical expressions of the boundaries of FORSOP. The proposed method is validated to be effective to formulate the analytical expressions of FORSOP boundaries. A novel FOR-based method for constraint management of distribution networks with SOPs is also developed, which can adapt to various measurement conditions. Simulation results under case studies show that the FOR-based method can achieve near-global optimum results as the optimal power flow (OPF)-based method, but with fewer measurement units and within milliseconds.
Item Type: | Thesis (PhD) |
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Date Type: | Completion |
Status: | Unpublished |
Schools: | Engineering |
Uncontrolled Keywords: | 1) Feasible Operation Region 2) Soft Open Point 3) Electricity Distribution Network 4) Minkowski Sum 5) Constraint Management 6) Network Observability |
Date of First Compliant Deposit: | 4 July 2024 |
Last Modified: | 04 Jul 2024 13:15 |
URI: | https://orca.cardiff.ac.uk/id/eprint/170270 |
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