A bi-level market-clearing for coordinated regional-local multi-carrier systems in presence of energy storage technologies

Nasiri, Nima; Yazdankhah, Ahmad Sadeghi; Mirzaei, Mohammad Amin; Loni, Abdolah; Mohammadi‐Ivatloo, Behnam; Zare, Kazem; Marzband, Mousa

doi:10.1016/j.scs.2020.102439

Cited by 66 publications

(38 citation statements)

References 50 publications

(90 reference statements)

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“…However, the impact of the electrical and thermal DR programs on the operation scheduling of the energy hubs was not investigated. Authors in [21,22] suggest the bi-level game theory to model the energy scheduling of the energy hubs.…”

Section: Introductionmentioning

confidence: 99%

Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage

Bahmani

Karimi

Jadid

2021

International Journal of Electrical Power & Energy Systems

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Energy hub systems integrate various energy sources and interconnect different energy carriers in order to enhance the flexibility of the system. In this paper, a cooperative framework is proposed in which a network of energy hubs collaborate together and share their resources in order to reduce their costs. Each hub has several sources including CHP, boiler, renewable sources, electrical chiller, and absorption chiller. Moreover, energy storages are considered for electrical, heating, and cooling systems in order to increase the flexibility of energy hubs. Unlike the methods based on Nash-equilibrium points, which find the equilibrium point and have no guarantee for optimality of the solution, the employed cooperative method finds the optimal solution for the problem. We utilize the Shapley value to allocate the overall gain of the hub's coalition based on the contribution and efficiency of the energy hubs. The proposed method is modeled as a mixed integer linear programming problem, and the cost of network energy hubs are decreased in the cooperative operation, which shows the efficiency of this model. The results show 18.89, 10.23, and 8.72% improvement for hub1, hub2, and hub3, respectively, by using the fair revenue mechanism.

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Section: Introductionmentioning

confidence: 99%

Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage

Bahmani

Karimi

Jadid

2021

International Journal of Electrical Power & Energy Systems

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“…MLP is a mature method for dealing with linear objective functions and linear constraints (Faul, Erdfelder, Buchner, & Lang, 2009). It has been widely used in the military (Mauntel et al., 2020), economic (Nasiri et al., 2020), industrial (Mu, Sha, Kang, & Yi, 2020), and educational (Pandey et al., 2020) fields. MLP usually includes linear objective functions, linear constraints, and non‐negative variables (see Equations 6–8 below).…”

Section: Methodsmentioning

confidence: 99%

A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal

Zhao

et al. 2021

Transactions in GIS

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The rapid expansion and unreasonable design of impervious surfaces caused by urbanization have seriously aggravated urban waterlogging. Determining how to optimize the spatial layout of impervious surfaces is the focus of urban waterlogging prevention in urban renewal. The existing urban‐renewal methods include constructing low‐impact development measures by reducing the area of impervious surfaces or implementing a local high‐strength design based on the ant colony algorithm (ACA) from the viewpoint of optimization design. However, these methods have obvious shortcomings in terms of time efficiency, and their optimized design schemes are insufficient at considering the global impervious surface design. Therefore, to address these problems, the study proposes a coupled model of multivariate linear programming and Soil Conservation Service curve number. The model is employed in the central city of Guangzhou, China. The results show, first, that the optimal design of impervious surfaces in urban renewal is to construct a discontinuous connection of high‐low‐high‐density impervious surfaces; second, that, compared with ACA, our method has higher robustness, increases the average optimization rate by 4.48 to 14.00%, and reduces the optimization time over 30 days to 20.8 s; and third, that the optimal results realize the global low‐strength transformation as complements of the existing design scheme of local high‐strength transformation. This study optimizes methods for alleviating urban waterlogging urban renewal at different scales or intensities.

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“…3. Optimal operation of the integrated natural gas and power system has been investigated by [29,34], while they have not considered IESP as a price-maker participant in day-ahead WM. 4.…”

Section: Contributionsmentioning

confidence: 99%

A robust decision framework for strategic behaviour of integrated energy service provider with embedded natural gas and power systems in day‐ahead wholesale market

Nasiri

Zeynali

Ravadanegh

et al. 2021

IET Generation Trans & Dist

Self Cite

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The rampant growth in penetration of gas-fired distributed units (GFDUs) is recasting the role of the integrated energy service provider (IESP) as a price-maker player. Nevertheless, it is threatening the well-being and reliability of the natural gas networks (NGNs). In this regard, this paper investigates the strategic participation of integrated 20-node NGN and an 33-bus active distribution system (ADS) in the day-ahead wholesale market (WM), which consists of a six-bus transmission network (TN), through a bi-level optimization framework. The upper-level objective is to minimize the operational costs of the IESP as well as the cost of energy that is purchased/sold in day-ahead WM. The lower-level problem models the optimal response of the wholesale market operator (WMO) that has the objective of maximizing social well-fare by clearing the day-ahead wholesale market. To alleviate the NGN's pipeline congestion, the linepack capability of the pipelines is deployed, while demand response program (DRP) and interruptible loads (IL) are integrated into the ADS side. As a computationally efficient method, robust optimization (RO) is utilized to handle the uncertainties. The results emphasize the necessity of integrating NGN into this problem. Eventually, different case studies illustrate the impact of line pack and DRP in reducing market-clearing price.

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A bi-level market-clearing for coordinated regional-local multi-carrier systems in presence of energy storage technologies

Cited by 66 publications

References 50 publications

Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage

Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage

A high‐efficiency global model of optimization design of impervious surfaces for alleviating urban waterlogging in urban renewal

A robust decision framework for strategic behaviour of integrated energy service provider with embedded natural gas and power systems in day‐ahead wholesale market

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