An Economic Optimal Dispatch Strategy for Active Distribution Networks Considering Photovoltaic-Load Uncertainty and Rotating Reserve Constraints

doi:10.12204/j.issn.1000-7229.2022.11.007

Abstract

Abstract:

After a large number of distributed power sources such as distributed photovoltaic power and energy storage devices are connected to an active distribution network (ADN), the multiple uncertainties of photovoltaic output, load and rotating reserve capacity bring new challenges to the reliability of economic dispatching of ADN. Considering the uncertainty of photovoltaic output and load, this paper puts forward an economic optimization scheduling model of ADN with the objective function of minimizing operation cost. In this paper, the chance constrained programming (CCP) model is transformed into a deterministic mixed integer linear programming (MILP) model, which is easy to solve, by using CPLEX solver. The proposed method is verified by IEEE 33-node distribution system. The calculation results show that the proposed strategy significantly reduces the system calculation time and achieves better optimization effect, and the balance between the reliability and economy of ADN can be achieved by appropriately setting the confidence level of the probability constraint of rotating reserve capacity.

Key words: active distribution network(ADN), photovoltaic-load uncertainty, rotating reserve constraint, economic optimal dispatch, chance constrained programming(CCP)

CLC Number:

TM734

MENG Lingzhuochao, YANG Xiyun, ZHAO Zeyu. An Economic Optimal Dispatch Strategy for Active Distribution Networks Considering Photovoltaic-Load Uncertainty and Rotating Reserve Constraints[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(11): 63-72.

Figures/Tables 11

Table 1 PV power output and corresponding probability sequence

Table 2 Equivalent load power and the corresponding probability sequence

Fig.1 Flow chart of ADN economic optimization scheduling

Fig.2 Schematic diagram of active distribution network structure of IEEE 33-node

Table 3 Distributed power access of AND

Table 4 TOU price level

Fig.3 Micro-source output and scheduling result diagram of ADN in each period

Fig.4 Node voltage of distribution network in different time periods

Fig.5 Operation costs under different confidence levels

Fig.6 Spinning reserve capacities under different confidence levels

Table 5 Results of each intelligent algorithm

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