Global survey on planning and operation of active distribution networks - update of CIGRE C6.11 working group activities

Operating in island mode when failure occurs in the active distribution network(ADN) is an effective measure to maintain an uninterrupted power supply to significant loads. A two-stage approach that integrates optimal island partition and power dispatch is proposed in this paper, considering photovoltaics (PVs), batteries (BEs) and electric vehicles (EVs) as the power sources. In the first stage, energy indices are defined to describe the energy demand and the maximum energy that these distributed energy resources (DERs) can provide, and islands are partitioned based on an energy constraint. Considering the variability the loads and PVs, the energy constraint is a necessary but not sufficient condition for island operation, so in the second stage, a power dispatch model is proposed as a test for the island partition result. Sequential power flow is also simulated to guarantee a feasible and optimized island status. The situations when the tests are not passed are analyzed and classified, and corresponding modifications for the first stage model are provided. Multiple levels of constraints based on the energy index are established for the island partition model. The proposed approach has been validated through simulation using a modified IEEE 69-bus system which is divided into three districts with different load variability characteristics.

Section: Introductionmentioning

confidence: 99%

Integrated approach for optimal island partition and power dispatch

Zhu

Jiang

et al. 2017

“…Distribution system operators (DSOs) have the possibility of managing the electricity flows using a flexible network topology. Distributed energy resources (DERs) take some degree of responsibility for system support, which will depend on a suitable regulatory environment and connection agreement [4]. From then on, Active distribution network has received extensive attention.…”

Section: Introductionmentioning

confidence: 99%

Coordinated scheduling model of power system with active distribution networks based on multi-agent system

Hao

Jiang

2017

With the large-scale development of distributed generations (DGs) and the connection into the main grid of active distribution networks (ADNs), traditional centralized dispatch of power system has encountered enormous challenge. In a bilateral electricity market, introducing ADN resources in the day-ahead generation schedule will not only enrich the dispatch patterns to the power system, but also reflect the initiative of ADNs. This paper proposes a coordinated scheduling model of power system with a plurality of ADNs based on multi-agent system where ADN agents are brought in the day-ahead market clearing. The process of market clearing and the dispatch of DGs in ADNs are independent with each other but linked together through the market clearing price (MCP) and bid volume. The optimal operating point of the whole system is achieved through multiple information exchange. In comparison with the dispatch without interaction between ADNs and the market operator (MO), the coordinated scheduling model is applied in a system with four ADNs to verify that the proposed method can improve the overall interests of ADNs. Finally, the effects of storage device and tie-line power limit are analyzed.

“…In order to overcome negative impacts of DG integrating into grid, the concept of active distribution network was proposed by CIGRE C6.19 Working Group in 2008, which was subsequently changed into active distribution system (ADS) [1], aiming to actively control kinds of distributed energy resources (DERs), such as energy storage system (ESS), controllable load and DG, to achieve complementary and efficient operation. With characteristics of fast power adjustment and both supply and storage, ESS is important in ADS optimization operation [2].…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of battery energy storage considering reliability benefit and operation strategy in active distribution system

Liu

Niu

2016

119

In this paper, a cost-benefit analysis based optimal planning model of battery energy storage system (BESS) in active distribution system (ADS) is established considering a new BESS operation strategy. Reliability improvement benefit of BESS is considered and a numerical calculation method based on expectation is proposed for simple and convenient calculation of system reliability improvement with BESS in planning phase. Decision variables include both configuration variables and operation strategy control variables. In order to prevent the interaction between two types of variables and enhance global search ability, intelligent single particle optimizer (ISPO) is adopted to optimize this model. Case studies on a modified IEEE benchmark system verified the performance of the proposed operation strategy and optimal planning model of BESS.