Observation of Security Region Boundary for Smart Distribution Grid

Xiao, Jun; Zu, Guoqiang; Gong, Xiaoxu; Li, Fangxing

doi:10.1109/tsg.2015.2505325

Cited by 71 publications

(31 citation statements)

References 17 publications

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“…Select P DG3 and P L4 as observation variables, fix P DG1 = −0.8MVA and P L2 = 0.2MVA, use OPenDSS to characterize α 2+ , β 2+ / β 3+ , and β 4‐ , and observe P1 crossing them in the most insecure directions, demonstrated in Figure …”

Section: Case Studymentioning

confidence: 93%

“…In Xiao et al, some of AC power flow boundaries can be found. However, the existing literature cannot portray the complete AC power flow boundaries.…”

Section: Sd Definition and Calculationmentioning

confidence: 99%

“…SR‐based methods have been applied to transmission system and play a significant role in real‐time security monitoring and assessment for power system . In Xiao et al, distribution system security region (DSSR) considering N‐1 security constraints of substations and feeders is proposed. DSSR describes the operating space of distribution system satisfying security constraints.…”

Section: Introductionmentioning

confidence: 99%

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Security distance for distribution system: Definition, calculation, and application

Xiao

Lin

Bai

et al. 2019

Int Trans Electr Energ Syst

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Summary This paper proposes the definition, calculation, and application of security distance for distribution system. Firstly, state space is divided into N‐1 security region, sub–security region, and insecurity region considering N‐1 contingency. Security distance is the distance from an operating point (state) to the boundary of the security region. Secondly, two types of distances, ie, geometric distance and state distance, in state space are defined. Then 18 specific security distances are defined and calculated using two‐step method based on DC and AC power flow. Thirdly, the application of the proposed security distances on security analysis is presented, including security check, security evaluation, and cross‐boundary analysis. The most insecure directions and security control schemes with minimum cost can be found by the cross‐boundary analysis. Finally, case studies are presented to illustrate and verify the effectiveness of the proposed security distances. In this paper, security distance for distribution system is systematically developed, and the cross‐boundary analysis method enriches the existing security analysis.

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Section: Case Studymentioning

confidence: 93%

“…In Xiao et al, some of AC power flow boundaries can be found. However, the existing literature cannot portray the complete AC power flow boundaries.…”

Section: Sd Definition and Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Security distance for distribution system: Definition, calculation, and application

Xiao

Lin

Bai

et al. 2019

Int Trans Electr Energ Syst

Self Cite

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“…Similar concepts have been used to describe the security work in the field of distribution network. A series of studies have been carried out on the existence proof, full quadrant characteristics and boundary observation of distribution network security region in [26]- [28]. The above studies ignore the constraints of node voltage in the distribution network, and do not consider the grid-connected EVs, high proportion of grid-connected renewable energy, and the prediction error of them.…”

Section: B Related Workmentioning

confidence: 99%

Research on Flexibility Evaluation Method of Distribution System Based on Renewable Energy and Electric Vehicles

Li¹

2020

IEEE Access

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High penetration of renewable energy brings economic and environmental benefits to the grid, but also causes challenges to the distribution system flexibility due to its uncertainty. As a new variable load, electric vehicles (EVs) can increase system's flexibility through interactions with the grid and promote the consumption of renewable energy. This paper studies the flexibility evaluation of distribution system considering the interaction between EVs and the grid. Firstly, the charging and discharging control strategies of EVs have been analyzed to reduce the impact of renewable energy output fluctuations on the distribution system flexibility, such as the G2V (Grid to vehicle) and V2G (Vehicle to grid) modes. Secondly, the battery capacity, driving plan, and transportation network are modeled to study the impact of the EVs connected to the grid on the distribution system flexibility. Thirdly, the flexibility evaluation method of distribution network is proposed based on the feasibility analysis of uncertain region. Finally, the analyses of the example show that the proposed method can realize the evaluation of the time series flexibility of the distribution system, which proves the effectiveness of the method proposed in this paper. INDEX TERMS ST time span, such as 24 ｡ the Hadamard product a, b, c the operation cost coefficients of the thermal power unit F the flexibility evaluation index Pg,t the output of the thermal power unit at time t d the element value corresponding to the uncertain variable n in the time series direction matrix D at time t λpv the cost coefficient of PV output curtailment valuend the normalized deviation value Ppvc,t the planned PV output curtailment x the decision variable in the optimization process xt, yt, zt the 0-1 variable representing the status, start and stop of the thermal power unit Pi, Qi injected active power and injected reactive power at node i respectively. Pg,min, Pg,max the lower and upper limits of thermal power unit output Ui, Uj voltage amplitude of node i and j Rramp the ramp rate of thermal power unit Gij, Bij conductance and susceptance of branch ij , the predicted output of PV θij voltage phase angle difference between node i and j PV,t the charging power of the grid to the electric vehicle V at time t Il the branch l current amplitude Nev the total number of EVs the maximum value of branch l current amplitude PVmin,t, PVmax,t the minimum and maximum charging power of electric vehicle V at time t Ui he voltage amplitude of node i PL,t the total load demand except for electric vehicles Uimax, Uimin the upper and lower limits of node i voltage amplitude DN the set of distribution network nodes PREi,t, QREi,t the active power and reactive power of renewable energy output at node i and time t

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“…Another lack‐attention issue is the security evaluation of network structure after DNR [34]. Most of the existing literatures pay attention on economic problems such as network loss reduction or optimisation of operating cost [5–12, 21, 22], few researchers have concerns about this issue.…”

Section: Introductionmentioning

confidence: 99%

Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation

Miao

et al. 2019

IET Generation, Transmission & Distribution

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Observation of Security Region Boundary for Smart Distribution Grid

Cited by 71 publications

References 17 publications

Security distance for distribution system: Definition, calculation, and application

Security distance for distribution system: Definition, calculation, and application

Research on Flexibility Evaluation Method of Distribution System Based on Renewable Energy and Electric Vehicles

Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation

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