Energy Management for Distribution Networks Through Capacity Constrained State Optimization

Uddin, Sohel; Krause, Olav; Martín, Daniel

doi:10.1109/access.2017.2761391

Cited by 11 publications

(7 citation statements)

References 22 publications

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“…The inequality constraints of v(y), consists of non-linear and non-convex functions, can be transformed into inequality constraints on z using a linearisation process. In this paper, Jacobian matrix-based analytical method [35] is considered. The Jacobian matrices of input and output vector functions are:…”

Section: A Local Voltage Management (Lvm)mentioning

confidence: 99%

Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management

Azim

Tushar

Saha

2021

IEEE Trans. Smart Grid

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In this paper, the feasibility of peer-to-peer (P2P) energy trading in a voltage-constrained grid-connected network is studied. In particular, a local voltage management scheme is proposed that takes network constraints into consideration to instruct the prosumers to trade energy frequently in the P2P market. A coalition graph game-based P2P energy trading framework is developed, in which prosumers can form the coalition to negotiate and decide on the energy trading parameters, such as trading quantities and prices. The Myerson value rule is used to allocate the total payoff of the proposed game fairly among the participating prosumers. Further, the stability of the proposed coalition structure is confirmed. Several simulation results are provided to verify the effectiveness of the developed P2P trading model. The simulation results show that the proposed P2P trading framework can enable prosumers to export power without causing high voltage problem in the network, and help prosumers cut down a significant portion of their overall electricity costs compared to the feed-in-tariff and coalition game model without mutual negotiations.

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Section: A Local Voltage Management (Lvm)mentioning

confidence: 99%

Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management

Azim

Tushar

Saha

2021

IEEE Trans. Smart Grid

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“…Active power curtailment amount of PV units at node j Q G,j Reactive power generated by PV units at node j Q C,j Reactive power generated by RPC With the increasing penetration of distributed photovoltaics (PVs), distribution networks (DNs) are gradually transforming from passive networks with unidirectional power flow to active distribution networks (ADNs) with bidirectional power flow [1]. The reverse power flow and voltage violation caused by excess PV power have brought significant challenges to the operational stability of DNs, and thus the optimization approach for ADNs to deal with these problems has become a hot topic of research in recent years [2]- [4]. The voltage optimization of ADNs is typically formulated as a mixed-integer non-linear optimization problem (MINOP) as it includes both continuous and discrete decision variables, e.g.…”

Section: Variables P Decjmentioning

confidence: 99%

“…According to the condition g 1−3 ≤ −1 and g 1−3 ≥ 0, RP is decomposed into subproblems RP1 and RP2, and their lower bound f 0 is set as 11.4639. 2) Solving the problem RP1 and get the solution ofg 2 = {−1, −0.1183} and f 2 = 54.4851. Solving the problem RP2 and get the solution ofg 3 = {0, 0.3027} and f 3 = 11.4691.…”

Section: Case Studies and Analysis A 32-bus Practical Casementioning

confidence: 99%

A Fully Distributed Voltage Optimization Method for Distribution Networks Considering Integer Constraints of Step Voltage Regulators

Liu

Guo

et al. 2019

IEEE Access

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With the increasing penetration of distributed photovoltaics (PVs), the operation and control of distribution networks (DNs), especially voltage control, have become more complicated. To deal with the voltage violation problem caused by large-scale PV access, this paper presents a fully distributed optimization method that combines the alternative direction multiplier method (ADMM) with the branch and bound method (BBM) for regional DNs. The total cost of active power losses and PV generation losses is minimized by making full use of the voltage regulation resources, e.g., reactive power compensators, step voltage regulators (SVR), and PV inverters, and the ADMM is employed to realize the intra-regional optimization and interregional coordination. To overcome the non-convex problem that is introduced by the SVR, the constraints of real-value tap positions are reformulated as linear inequality constraints of boundary voltages and added to the original problem, then the integer optimal solutions of SVR tap positions are obtained by BBM. The effectiveness of the proposed method is verified via numerical simulations on a practical 32-bus DN in China and a modified IEEE123-bus system. INDEX TERMS Active distribution networks, distributed optimization, voltage control, step voltage regulator.

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“…Classical optimization algorithms such as linear programming (LP) are widely used for solving OPF problems [98]. In [99], the capacity constraint was used to form linear inequality constraint for the objective function in OPF. Heuristic methods have been investigated for these problems, such as particle swarm optimization [100], ANN and GA [101].…”

Section: Constraint Managementmentioning

confidence: 99%

Review on Distribution Network Optimization under Uncertainty

Liao

2019

Energies

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With the increase of renewable energy in electricity generation and increased engagement from demand sides, distribution network planning and operation face great challenges in the provision of stable, secure and dedicated service under a high level of uncertainty in network behaviors. Distribution network planning and operation, at the same time, also benefit from the changes of current and future distribution networks in terms of the availability of increased resources, diversity, smartness, controllability and flexibility of the distribution networks. This paper reviews the critical optimization problems faced by distribution planning and operation, including how to cope with these changes, how to integrate an optimization process in a problem-solving framework to efficiently search for optimal strategy and how to optimize sources and flexibilities properly in order to achieve cost-effective operation and provide quality of services as required, among other factors. This paper also discusses the approaches to reduce the heavy computation load when solving large-scale network optimization problems, for instance by integrating the prior knowledge of network configuration in optimization search space. A number of optimization techniques have been reviewed and discussed in the paper. This paper also discusses the changes, challenges and opportunities in future distribution networks, analyzes the possible problems that will be faced by future network planning and operations and discusses the potential strategies to solve these optimization problems.Keywords: distribution network optimization; flexibility exchange; demand side management; network planning and operation IntroductionDistribution networks face great challenges with the changes in current and future distribution networks, such as the inclusion of more green energy, installation of more controllable power electronic devices, differentiated power quality requirements from different customers and increased active engagement from customer sides. To provide stable and greener electricity and meet the requirements from various stakeholders, the network should properly plan and utilize the available network resources to meet the constraints, improve quality of services and reduce the operating cost. Proper planning/operation strategies enable the cost-effective running of the network and improved customer experience in using electricity or participating in network operation/management. Distribution planning and operation problems (such as the integration of more renewable energy, the utilization of flexibility resources and customer engagement for various purposes, etc.) can be tackled with appropriate definition of optimization problems and the use of properly tailored optimization techniques. The research on distribution system optimization can be broadly divided into two categories:(1) Planning: With the global trend of using more renewable energy to reduce emission, one of the challenges in distribution system planning nowadays is to integrate more distrib...

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Energy Management for Distribution Networks Through Capacity Constrained State Optimization

Cited by 11 publications

References 22 publications

Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management

Coalition Graph Game-Based P2P Energy Trading With Local Voltage Management

A Fully Distributed Voltage Optimization Method for Distribution Networks Considering Integer Constraints of Step Voltage Regulators

Review on Distribution Network Optimization under Uncertainty

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