Abstract
Considering increasing uncertain renewable energy sources (RES) and flexible loads in active distribution network (ADN), this study proposes a novel optimal model for robust hourly energy scheduling of ADN. Firstly, a deterministic optimal dispatching model is formulated, which aims at minimizing the total operation cost of distribution network; Secondly, the information gap decision theory (IGDT) is employed to handle uncertainties of RES generation. One of the features of the proposed model is to take into account the impact of demand response of flexible loads and energy storage system (ESS) as the effective tools to reduce unintended costs due to uncertainty of RESs. Also, the uncertainty of RESs is handled in a way that maximum tolerable uncertainty is achieved for a given worsening of total operation cost. The model is formulated as a mixed integer nonlinear optimization problem and solved in the genetic algorithm. Numerical simulation on the IEEE 33-bus system has been performed. Comparisons with two types of probabilistic techniques demonstrate the effectiveness and benefits of the proposal.
Highlights
With the increasing number of the DGs, the traditional distribution network is going to be gradually transformed into the active distribution network (ADN), which is capable of coordinating DGs, energy storage systems (ESS), demand-side response to keep the distribution network operate in security and economy [1]
This paper proposes a new robust optimization model for the economic dispatch of ADN with high-penetration renewable energy sources (RES) and flexible loads based on information gap decision theory (IGDT)
Where Pj,tL is the active power of load located at the node j at the period t, Qj,tcp is the reactive power injected by the reactive power compensator located at the node j at the period t, ȜjG and ȜjL are respectively the tangent of power-factor angel of gas turbine and load located at the node j, wind power generation (WT) operates in unit power factor in the paper
Summary
With the increasing number of the DGs, the traditional distribution network is going to be gradually transformed into the active distribution network (ADN), which is capable of coordinating DGs, energy storage systems (ESS), demand-side response to keep the distribution network operate in security and economy [1]. A deterministic power dispatch model, ignoring DG output uncertainty, fails to guarantee system security and cost optimality in practice because it makes decisions based on only one possible scenario. Uncertainties in the DRG output should be taken into account for the power dispatch models to ensure system security in all possible scenarios while providing statistically optimal active power allocation schedule. In [7-8], the IGDT is applied to deal with the uncertainties associated with RES output or load demand for unit commitment or energy management of power system. This paper proposes a new robust optimization model for the economic dispatch of ADN with high-penetration RESs and flexible loads based on IGDT. (3) An evaluation of effectiveness and robustness in the IGDT-based dispatching scheme is carried out by comparing this proposed technique with probabilistic methods managing the uncertainty, such as scenariobased modelling and the Monte Carlo technique.
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