Markov Model Based Assessment for Redundancy Mitigation in High Voltage Grids Using Demand Response


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Abstract


Demand response (DR) has become a key feature of the future Smart Grid. This paper assesses the potential of DR in mitigating the redundancy requirement of a high voltage (sub-transmission) grid. DR is considered as a redundancy alternative, activated by network contingencies. The end use appliance consumption pattern along with the load disaggregation technique is applied to determine the achievable DR. The comparison of outage cost for future load is adopted as an assessment method; this comparison is between non-investing in the network, and use of DR as a redundancy alternative. In the presence of DR, novel reliability models are developed in order to find the outage cost. The analysis conducted on a typical Finnish sub-transmission network indicates that the redundant capacity of the network proportional to DR capability can be mitigated. The employment of released redundant capacity for the increasing load will escalate network efficiency. As a consequence investments will be avoided
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Keywords


Demand Response (DR); High Voltage Grid; Markov Model; Redundancy; Smart Grid; Sub-Transmission

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