Abstract
Demand response (DR), one kind of flexible resources, can decrease the operating costs of power systems and improve their reliability. However, DR is not absolutely reliable due to its inherent uncertainty, so its function of improving system reliability is restricted. In order to estimate the risk of generating systems during the period of DR events, the short-term reliability assessment of generating systems considering DR reliability is studied in this paper. Firstly, a multi-state continuous-time Markov chain (CTMC) model of DR response capacity is established and the state division of response capacity is performed by the method of mean-standard deviation (MSD) classification. Secondly, the transition matrix of DR response capacity is estimated according to the sequence of DR response capacity. Thirdly, the CTMCs of demand response providers' (DRP) response capacity and those of generating units' (GU) output capacity are converted into universal generating functions (UGF) by Lz-transform. Finally, the transient distribution of DR response capacity and GU output capacity are derived, and the short-term reliability assessment method for generating systems considering DR reliability is proposed. A case study on a revised IEEE-RTS79 system shows the application of the presented method. The method proposed in this paper can assist system operators to evaluate the reliability of generating systems during the period of DR events.
Highlights
To improve energy utilization efficiency and defer costly investments on power generation, a flexible and effective measure known as demand side management (DSM) has received considerable attention over the past four decades and been applied to the power systems of many countries
This paper proposes a novel demand response (DR) reliability model to assess the reliability of generating systems during a DR event
The short-term reliability model of DR response capacity is represented by a multi-state continuous-time Markov chain (CTMC)
Summary
To improve energy utilization efficiency and defer costly investments on power generation, a flexible and effective measure known as demand side management (DSM) has received considerable attention over the past four decades and been applied to the power systems of many countries. In order to evaluate the short-term reliability of generating systems during the period of DR events, the time-varying transient reliability model should be established firstly, including the state division of DR response capacity and the transient distribution of DR response capacity. In the paper, the response capacity of DRPs and the output capacity of GUs are represented by UGFs through Lz-transform
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