Notes:
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This use case intends to describe the network planning sharing information for different time horizons that are relevant for the investments decisions both in transmission and distribution side and mainly in the TSO/DSO interface. The use case includes the following information exchanges:<br/><br/>· <b>Network model exchange: </b>DSO and TSO exchange their current simplified network models which comprises of only HV power lines and major substation modelled on the HV level. This information is exchanged on a yearly basis. Other type of network representation can be proposed considering the reality in different countries. As example, it is possible to mention the exchange of dynamic data models, and single line diagrams of planned network conditions of both TSO and DSO for the same time horizon can also be exchanged.<br/><b>· Network plans: </b>DSO and TSO exchange their plans for future relevant changes to the current simplified network models. These could include adding new interfacing substations or HV power lines as well as removing existing substations or HV power lines. Network plans also include reinforcement plans of either the DSO or TSO network (e.g. increasing the transmission lines capacity). Network plans could also include foreseen connection of significant grid users (loads, generators, storage) either in the DSO or in the TSO networks. This information is normally exchanged every year for the next five years. Considering the plans of the TSO and the DSO for the respective networks, both TSO and DSO can identify synergies to optimise the investments and identify the best moment to execute the plans.<br/>· <b>The implementation of outage planning between the TSO and DSO according to long-time horizon (months/years). </b>The step comprises of following actions:<br/><ul> <li>Outage incompatibilities within the DSOs network/assets and the TSO network/assets.</li><li>Remedial actions that are proposed by both of the TSOs and DSOs to relieve these incompatibilities.</li><li>Scenarios for exchanging the data between TSOs and DSOs in a timely manner within three years regarding the availability plan for the network elements (if possible) for relieving the detected Incompatibilities [1].</li><li>Strategies for exchanging the draft of the outage plans between the DSOs and TSOs for 2-5 years ahead with several iterations and modifications within this time period.</li><li>Taking into considerations the DGs and their roles in the operational planning and the remedial strategies within the outage planning process.</li></ul> <br/><b>· Peak consumption evolution prognosis: </b>The DSO provides the forecasted growth (positive or negative) of overall network demand (peak consumption) relative to previous years (e.g. ±3% growth of peak network demand per year). The prognosis is based on anticipated demographic and industrial activities for the upcoming years, aggregated by primary substation level. <br/>· <b>Consumption and generation profiles: </b>The DSO provides profiles of consumption and generation with a 15-minute resolution based in historical measurements. Profiles should be aggregated to the primary substation and divided according to type of load or generation (Wind, PV, etc.). For example, that means all profiles of PV units connected to a particular primary substation on a 15 minute resolution. The assessment of connection capacity should be coordinated among TSOs and DSOs in order to contribute to an effective deployment of generation – particularly RES and/or loads.<br/>· <b>Impact of rules and policies in the network planning:</b> The policies imposed by the governments and the internal rules of each actor (TSO/DSO/others), can also impact the network planning. As example, it is possible to mention the growing penetration of renewable generation promoted by the government incentives. On the other side, the existence of mechanism like demand response programs or renewable generation curtailment can eliminate or delay the needs of investments in infrastructures. The promotion of the use of efficient devices, the use of time-of-use or real-time pricing demand response can also have impact in the peak consumption evolution.<br/>
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