A Benders decomposition approach to transmission expansion planning considering energy storage

MacRae, Cameron A. G.; Ernst, Andreas T.; Özlen, Melih

doi:10.1016/j.energy.2016.06.080

Cited by 39 publications

(20 citation statements)

References 55 publications

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“…For this reason, an ESS is often considered as a substitute or support for the transmission lines. Hu et al [131] showed that deploying ESS can reduce transmission grid investment costs and MacRae et al [133] demonstrated that an ESS can be used to postpone investments in transmission system. Aguado et al [137] showed that the net social welfare increases when ESS are included in transmission expansion planning.…”

Section: Coordinated Investments In Ess and Transmission System Assetsmentioning

confidence: 99%

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Operating and Investment Models for Energy Storage Systems

2020

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In the context of climate changes and the rapid growth of energy consumption, intermittent renewable energy sources (RES) are being predominantly installed in power systems. It has been largely elucidated that challenges that RES present to the system can be mitigated with energy storage systems (ESS). However, besides providing flexibility to intermittent RES, ESS have other sources of revenue, such as price arbitrage in the markets, balancing services, and reducing the cost of electricity procurement to end consumers. In order to operate the ESS in the most profitable way, it is often necessary to make optimal siting and sizing decisions, and to determine optimal ways for the ESS to participate in a variety of energy and ancillary service markets. As a result, many publications on ESS models with various goals and operating environments are available. This paper aims at presenting the results of these papers in a structured way. A standard ESS model is first outlined, and that is followed by a literature review on operational and investment ESS models at the transmission and distribution levels. Both the price taking and price making models are elaborated on and presented in detail. Based on the examined body of work, the paper is concluded with recommendations for future research paths in the analysis of ESS.

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Section: Coordinated Investments In Ess and Transmission System Assetsmentioning

confidence: 99%

“…Planning Solving Technique [20,22,23,30,43,46,[49][50][51]53,54,57,59,73,74,78,[88][89][90]105] [ 119,125,130,156] LP [1,16-18,20,25,32,33,35,44,47,50,52, 56-58,60,61,63,65,66,70-72,76,79-83, 86,92,94-96,100-102,104,106,107] [ 14,28,[109][110][111][112][113][114][115]117,121,122,126,127,131,[133][134][135][136][137]139,148,149,155,156,<...>…”

Section: Operationmentioning

confidence: 99%

Operating and Investment Models for Energy Storage Systems

2020

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“…Each decision-maker can set the optimality gaps precisely. These pro ts lead to the utilization of the BDA in various contexts such as APP [7], planning of energy [74], SCND [75], and scheduling [76].…”

Section: Solution Approach 41 Introducing the Benders Decompositionmentioning

confidence: 99%

Benders Decomposition Algorithm for Robust Aggregate Production Planning Considering Pricing Decisions in Competitive Environment: A Case Study

Aazami

Saidi‐Mehrabad

2018

Scientia Iranica

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In operations research, bi-level programming is a mathematical modeling which has another optimization problem as a constraint. In the present research, regarding the current intense competition among large manufacturing companies for achieving a greater market share, a bi-level robust optimization model is developed as a leader-follower problem using Stackelberg game in the eld of Aggregate Production Planning (APP). The leader company with higher in uence intended to produce new products, which could replace the existing products. The follower companies, as rivals, were also seeking more sales, but they did not have the intention and ability to produce such new products. The price of the new products was determined by the presented elasticity relations between uncertain demand and price. After linearization, using the KKT conditions, the bi-level robust model was transformed into an ordinary uni-level model. Due to the NP-hard nature of the problem, Benders Decomposition Algorithm (BDA) was proposed for overcoming the computational complexities in large scale. Finally, using the real data of Sarvestan Sepahan Co as a leader company, the validity of the developed model as well as e ciency and convergence of the BDA was investigated. The computational results clearly showed the e ciency and e ectiveness of the proposed BDA.

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“…System parameters are available in the literature [9]. Suppose that all the load and power capacity of the system are increased to 3 times of the original value, and the maximum total load is increased to 8550MW.…”

Section: Example System Settingsmentioning

confidence: 99%

“…This paper takes the IEEE 24 bus system as an example system [9]. System parameters are available in the literature [9].…”

Section: Example System Settingsmentioning

confidence: 99%

The optimal deployment model of energy storage systems considering large-scale wind farms connected

Yan¹,

Zhang²,

Song³

et al. 2018

IOP Conf. Ser.: Earth Environ. Sci.

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Abstract. In order to solve the serious wind power curtailment problem caused by the rapid development of large-scale wind power, a multi-point layout energy storage system is proposed in the grid with the large proportion of wind power. Considering the energy storage costs, wind power curtailment costs and the penalty for loss of load, the energy storage planning model is established by introducing the problem of unit commitments with restrictions, which can be solved by using the mature commercial software CPLEX. Finally, taking the standard IEEE 24 node system as an example, different case studies are carried out. It is found that energy storage cost, wind farm location and access power have an important influence on energy storage layout and configuration capacity.

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A Benders decomposition approach to transmission expansion planning considering energy storage

Cited by 39 publications

References 55 publications

Operating and Investment Models for Energy Storage Systems

Operating and Investment Models for Energy Storage Systems

Benders Decomposition Algorithm for Robust Aggregate Production Planning Considering Pricing Decisions in Competitive Environment: A Case Study

The optimal deployment model of energy storage systems considering large-scale wind farms connected

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