Abstract
High penetration of distributed photovoltaics (PVs) has caused severe voltage violation problem in distribution networks. In view of the actual situations, this paper proposes a coordinated optimization method for distributed PVs clusters considering inadequate measurement data. Based on pivotal measurement data, each cluster firstly uses network simplification method to obtain a simplified network with complete measurement information. And then each cluster implements coordinated optimization with adjacent clusters to minimize its network losses, PVs generation losses and voltage violation amount of downstream cluster. The coordinated optimization includes two stages, i.e. evaluating voltage regulation capability of intra-cluster reactive power resources and implementing cluster autonomous optimization control. These two stages can use the reactive power resources of upstream clusters to solve the voltage violation of downstream clusters, which avoids unnecessary generation losses of distributed PVs. The effectiveness and accuracy of the proposed method are demonstrated via simulation tests on a real 10kV feeder in China and modified IEEE 123-bus system. Compared with distributed optimization method, the proposed coordinated optimization requires much less calculation time and communication data between clusters.
Highlights
With the increasing penetration of distributed photovoltaics (PVs), the stable operation of distribution networks faces many challenges, such as reverse power flow and voltage violation [1]–[3]
In [8], a cluster autonomous optimization (CAO) method is proposed, which only works when the voltage violation occurs in a cluster
In [11], a voltageconstrained reactive power optimization model is solved by sub regions of distribution networks in a distributed manner
Summary
With the increasing penetration of distributed photovoltaics (PVs), the stable operation of distribution networks faces many challenges, such as reverse power flow and voltage violation [1]–[3]. The existing intra-cluster cluster optimization method is lack of interaction between clusters and cannot provide reactive power and voltage support to other clusters initiatively It can cause unnecessary generation losses of PVs. Distributed optimization of multiple clusters can achieve the control effect of centralized optimization through decomposition and coordination among clusters but has weakness in convergence speed. To guarantee the accuracy of the following coordinated optimization method, it is suggested that the measurement nodes of distribution networks should include the nodes with controllable distributed PVs and large load. OVERALL FRAMEWORK The proposed cluster coordinated optimization method includes two stages They are evaluating voltage regulation capability of intra-cluster RPC resources and implementing cluster autonomous optimization. The cluster implements optimal reactive power flow to calculate the boundary parameters when the cluster has minimum network losses and no voltage violation exists in itself and its downstream cluster.
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