Robust optimization for energy transactions in multi-microgrids under uncertainty

Zhang, Bingying; Li, Qiqiang; Wang, Luhao; Feng, Wei

doi:10.1016/j.apenergy.2018.02.121

Cited by 184 publications

(109 citation statements)

References 45 publications

(90 reference statements)

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“…To address this issue, a chance constraint is proposed in this paper to manage the risks of over-compensation. As shown in (21)- (22), the probability that economic benefit is greater than compensation should be larger than 1-ε (confidence level). Consequently, the per unit compensation πkc should be equal to the total compensation (i.e.…”

Section: Economic Benefit Measurement and Risk Mitigation Modelmentioning

confidence: 99%

“…Reference [21] evaluates the operation and significance of energy storage considering the uncertainties of weather conditions. Reference [22] proposes a robust optimization based approach for optimal multi-microgrid operation in a residential scenario considering renewable energy uncertainties. Most of those works focus on the uncertainties in the optimal operation of microgrid.…”

Section: Sumentioning

confidence: 99%

“…D. Iteration-based chance-constrained method for flexible demand resource pricing As indicated by (22), the economic benefit is measured by the operation cost deviation between adopting or not adopting the incentive-based DSM program. It can be derived by calculating the deviation between two optimal values, which is quite complicated to be solved directly since it is an optimization problem with two minimization sub-problems.…”

Section: Economic Benefit Measurement and Risk Mitigation Modelmentioning

confidence: 99%

See 2 more Smart Citations

Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach

Ding

Zhu

Wang

et al. 2019

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)

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With the rapidly increased penetration of renewable generations, incentive-based demand side management (DSM) shows great value on alleviating the uncertainty and providing flexibility for microgrid. However, how to price those demand resources becomes one of the most significant challenges for promoting incentive-based DSM under microgrid environments. In this paper, a flexible demand resource pricing scheme is proposed. Instead of using the utility function of end users like most existing literatures, the economic benefit of flexible demand resources is evaluated by the operation performance enhancement of microgrid and correspondingly the resource is priced based on a benefit sharing approach. An iteration-based chance-constrained method is established to calculate the economic benefit and shared compensation for demand resource providers. Meanwhile, the financial risks for the microgrid operator due to uncertain factors are mitigated by the chanceconstrained criterion. The proposed scheme is examined by an experimental microgrid to illustrate its effectiveness.Index Terms-Demand side management, resource pricing, renewable energy integration, microgrid, risk management

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Section: Economic Benefit Measurement and Risk Mitigation Modelmentioning

confidence: 99%

Section: Sumentioning

confidence: 99%

Section: Economic Benefit Measurement and Risk Mitigation Modelmentioning

confidence: 99%

See 1 more Smart Citation

Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach

Ding

Zhu

Wang

et al. 2019

2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)

View full text Add to dashboard Cite

show abstract

“…A brief summary of studied papers about microgrid opera-tions is presented in the following: Implementing a two-stage adaptive robust optimization-based collaborative operation, the economic and collabo-rative operation of multi-microgrids has been evaluated as a unit commitment problem [6]. The total operation cost of multi-microgrids was reduced subject to uncertainty of so-lar power systems.…”

Section: Introductionmentioning

confidence: 99%

“…Distribution system with multi-microgrid is optimally scheduled under uncertainty with robust optimization method in [16]. Similarly, robust optimization approach is used in [17] to solve uncertainty-based optimal energy transactions problem in multi-microgrid systems. In [18], a brief summary of studied papers about operation of photovoltaic based microgrids has been presented to investi-gate various combination methods of energy storage and electric vehicles with other energy resources.…”

Section: Introductionmentioning

confidence: 99%

Robust operation of microgrid energy system under uncertainties and demand response program

Barhagh

Shotorbani

Mohammadi‐Ivatloo

et al. 2020

IJEECS

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Microgrid energy systems are one of suitable solutions to the available problems in power systems such as energy losses, and resiliency issues. Local generation by these energy systems can reduce the role of the upstream network, which is a challenge in risky conditions. Also, uncertain behavior of electricity consumers and generating units can make the optimization problems sophisticated. So, uncertainty modeling seems to be necessary. In this paper, in order to model the uncertainty of generation of photovoltaic systems, a scenario-based model is used, while the robust optimization method is used to study the uncertainty of load. Moreover, the stochastic scheduling is performed to model the uncertain nature of renewable generation units. Time-of-use rates of demand response program (DRP) is also utilized to improve the system economic performance in different operating conditions. Studied problem is modeled using a mixed-integer linear programming (MILP). The general algebraic modeling system (GAMS) package is used to solve the proposed problem. A sample microgrid is studied and the results with DRP and without DRP are compared. It is shown that same robustness is achieved with a lower increase in the operation cost using DRP.

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Impact of power exchange on reliability and economic indices of networked microgrids

Mohammadi

Moshtagh

Golpîra

2020

Int Trans Electr Energ Syst

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In this work, the impact of power exchange on reliability and economic indices of networked microgrids (MGs) is investigated. To this end, new reliability and economic indices are defined. The indices for emergencies in islanded and grid connected modes are evaluated. To increase the accuracy of simulation, a new evaluation method having a unique and precise answer is introduced. To optimize the customer interruption cost (CIC) reduction, the power exchange algorithm based on CIC reduction is presented. In this algorithm, the power exchange between MGs is carried out according to the cost of electricity and the value of the interrupted load. For this purpose, different scenarios of electricity prices are considered. To prove the efficiency of the proposed methods, these methods are tested on the well‐known distribution system bus 2 RBTS. Results reveal that the power exchange between MGs or MGs with grid can considerably affect the reliability and economic indices of MGs.

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Robust optimization for energy transactions in multi-microgrids under uncertainty

Cited by 184 publications

References 45 publications

Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach

Flexible Demand Resource Pricing Scheme: A Stochastic Benefit-Sharing Approach

Robust operation of microgrid energy system under uncertainties and demand response program

Impact of power exchange on reliability and economic indices of networked microgrids

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