Abstract
Previous works have shown that the best topology of an electrical network depends on the total demand and its distribution. Optimal Transmission Switching (OTS) identifies lines to be opened to minimize operating costs. However, this cost-based criterion is not suitable for hydropower generation-based companies, where hydrology largely dictates the power generation. Moreover, no study about impact of OTS on voltage stability margins have been conducted in literature as it never been explicitly integrated in the problem formulation. Thus, OTS does not guarantee that proposed topologies are secure even if voltage bounds are respected. It also does not take full advantage of the real networks flexibility by including only line states and production distribution in the control vector. This leads to algorithms that are not suitable for weakly meshed (or mostly radial) networks. In this paper, we propose an extended OTS (E-OTS) that includes several improvements over current algorithms and overcomes the above-mentioned problems. We also propose two heuristics to reduce resolution time. Results on the PEGASE (1354 bus) and Polish (2236 bus) networks show that E-OTS identifies a topology improvement in less than 40 minutes, which is low enough to be implemented in a real energy management system. Tests have been made for three different criteria.
Highlights
The best network’s topology in terms of cost is not necessarily the nominal one, where all lines are active
Whereas the Optimal transmission switching (OTS) is presented as a near real-time planning tool like the optimal power flow (OPF) [6]
The first OTS paper showed that substantial economy can be obtained with the use of OTS in the case of a congested network [6], suggesting that there exists an optimal topology for every situation
Summary
The best network’s topology in terms of cost is not necessarily the nominal one, where all lines are active. As it can be seen, candidates selected by the OTS increase the maximum LSZ value of the network after one or two openings in both load cases, confirming that OTS tends to reduce stability margins when many lines are opened successively. This result is important as it shows one limitation of the OTS when its control vector is limited to the state of lines. It means that when there is no congestion on a network, OTS could be used to maximize network loadability
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