Abstract
Available Transfer Capability (ATC) determination, accounting for the stochastic effects of uncertain sources and loads, is of key significance for the safe and economic operation of a power system, especially in a competitive market environment. In this paper, a two-stage risk-adjusted stochastic optimal power dispatch problem is proposed. The reduction in ATC due to active power uncertainties in renewable energy sources and also the load is taken as the risk. The problem considers a combined transmission-distribution system (TDS) with solar, wind and other conventional energy sources. The ATC is estimated using Continuation power flow (CPF) and power transfer sensitivity factor (PTSF) methods. The joint probability distribution function (PDF) of ATC is derived using individual discrete PDFs of random variables (renewable power generation and loads). The risk is minimized using stochastic weight trade-off particle swarm optimization (SWT-PSO). The proposed approach helps to hedge the financial risk of the network/transmission system owner/operator.
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