Robust Coordination Expansion Planning for Active Distribution Network in Deregulated Retail Power Market

Huang, Chunyi; Wang, Chengmin; Xie, Ning; Wang, Yong

doi:10.1109/tsg.2019.2938723

Cited by 40 publications

(17 citation statements)

References 23 publications

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“…Each chromosome is decoded using the procedure described in Section 3.3 and is evaluated using the fitness function (18), which aims at minimizing the investment cost, the operational cost, the energy curtailed from the DG units and the curtailed load demand.…”

Section: Chromosome Evaluationmentioning

confidence: 99%

“…In [17], a multi‐objective stochastic planning method is proposed that aims at minimising investment and CO 2 emission costs. In [18], a single‐stage expansion planning method is proposed aiming at simultaneously enhancing systematic flexibility and market efficiency. In [19], an expansion planning model for ADNs is proposed that considers multiple types of energy resources, such as electric vehicle charging stations, renewable DG, and energy storage systems.…”

Section: Introductionmentioning

confidence: 99%

“…However, in [9][10][11][12], the penetration level of RES in the distribution network is relatively low, without addressing the technical challenges derived from the high penetration of RES in the distribution networks and without exploiting the capabilities of the active network management (ANM) for the solution of the DNP problem. The distribution network investments in the single-stage planning methods of ADNs in [14], [15] and [18] include only the addition and/or reinforcement of distribution lines and substations. In [16] and [20], the planning of ADNs is solved deterministically examining only two scenarios of load demand and renewable generation, while ignoring any demand response capabilities.…”

Section: Introductionmentioning

confidence: 99%

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A multistage distribution network planning method considering distributed generation active management and demand response

Koutsoukis

Georgilakis

2021

IET Renewable Power Gen

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This paper proposes a multistage distribution network planning (DNP) method that considers multiple planning alternatives, the active management of distributed generation (DG) units and demand response in the context of active distribution networks (ADNs). Representative days are selected for the consideration of uncertainties related with load demand and renewable power generation, during the planning period. The proposed DNP method aims at minimising the net present value of the total investment and operational cost. The proposed DNP considers multiple planning alternatives, such as the reinforcement of existing substations and existing distribution lines, the installation of new distribution lines, and the installation of capacitors. Furthermore, the proposed DNP method incorporates the control capabilities of DG active and reactive power output and demand response schemes. A 24-bus distribution network and a 144-bus real world distribution network are used to validate the performance of the proposed method.

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Section: Chromosome Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A multistage distribution network planning method considering distributed generation active management and demand response

Koutsoukis

Georgilakis

2021

IET Renewable Power Gen

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“…Beyond modelling aspects of the planning problem, existing works ( [7][8][9][10][11][12][13][14][15][16][17][18] in LV and [19][20][21][24][25][26][27][28][29][30][31][32][33] in MV) do not contrast planning alternatives. Instead, the focus is on developing single alternatives (either reinforcements or management) to cope with the penetration of EVs (or other technologies).…”

Section: Introductionmentioning

confidence: 99%

Multi‐year planning of LV networks with EVs accounting for customers, emissions and techno‐economics aspects: A practical and scalable approach

Quirós-Tortós

Ochoa

2020

IET Generation Trans & Dist

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The uptake of electric vehicles (EVs) is expected to trigger investments to adapt existing distribution networks, particularly in the low voltage (LV). To make adequate, holistic planning decisions over multiple years, the assessment of alternatives-such as reinforcements or the adoption of EV management strategies-must not only capture when the investments are needed but also the effects on customers and carbon emissions, all while accounting for uncertainties. This paper proposes a stochastic, practical, and scalable progressive multi-year planning methodology that considers technical, customer, economic and environmental aspects to make holistic planning decisions for existing LV networks to accommodate EVs. The proposed rule-based methodology contrasts the net present value and benefits of four planning alternatives: network reinforcements, EV charging point management, and their combinations. Uncertainties are catered for by adopting a Monte Carlo approach. Using two real UK LV networks and realistic time-series data, results demonstrate the importance of a holistic decision-making approach. From an economic perspective, EV management is better for voltage issues, and reinforcements for thermal problems. However, when customer effects are considered, the management can lead to unacceptable charging delays. Combinations, on the other hand, provide trade-offs between cost and the effects on customers or carbon emissions. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…(2) Improvement of planning and operation on different time scales, such as prediction [25] , generation control [26] , economic dispatch [27] , ancillary services [28] , and others. (3) Reasonable price and transaction mechanisms designed to meet the flexibility requirements of power system planning and operation, such as demand response [29] , P2P trading [30] , retail power markets [31] , and others. Simultaneously, power system dynamic optimal dispatching is a common multi-objective optimization problem with multiple decision variables, nonlinearity and strong coupling.…”

Section: Introductionmentioning

confidence: 99%

Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

Wang

et al. 2020

IEEE Access

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Ultra High Voltage (UHV) transmission technology is the main regional power interconnection method in China. In addition, renewable energy sources (RES) in China are characterized by centralized distribution. In view of the cross-regional flexible scheduling of large-scale grid-connected RES, we build a day-ahead optimization model which considers the generation economy and robustness of transmission for each regional grid. The model considers the spatial clustering effect of RES and loads, uses robust optimization theory to construct uncertainty sets, and introduces uncertain spatial constraint parameters to compensate for the insufficiency of traditional robust optimization. Furthermore, a coevolutionary algorithm filter-based is proposed to solve above the mixed-integer non-convex nonlinear programming model. Taking the modified IEEE-39 nodes as an example, the results show that the system cost can be reduced by 21.9% by selecting the confidence probability of uncertain variables of both load and source under stable operation, while the prediction accuracy has a significant impact on the system cost when the confidence probability is smaller, and a better operation scheme can be obtained by increasing the space constraint parameters. Finally, the feasibility of the proposed model and algorithm are verified on the Hami power grid in Xinjiang, China.

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Robust Coordination Expansion Planning for Active Distribution Network in Deregulated Retail Power Market

Cited by 40 publications

References 23 publications

A multistage distribution network planning method considering distributed generation active management and demand response

A multistage distribution network planning method considering distributed generation active management and demand response

Multi‐year planning of LV networks with EVs accounting for customers, emissions and techno‐economics aspects: A practical and scalable approach

Flexibility Robust Optimal Operation Strategy for Cross-Regional Interconnected Power Under Load-Source Coordination

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