Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

Lai, Chun Sing; Yan, Mengxuan; Li, Xuecong; Lai, Loi Lei; Xu, Yang

doi:10.3390/app11114987

Cited by 2 publications

(6 citation statements)

References 54 publications

(87 reference statements)

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“…However, the battery energy storage system allows microgrids to play the role of the consumer or producer of power at different time periods t. As it is stated in Section 2, the proposed method is performed in separate stages by the DSO and the DMO. The first stage, which is performed by the DSO, determines the optimum energy schedules of customers, Equations (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20). At the end of the scheduling stage, all gas turbine optimum power generation schedules and all microgrids' optimum energy demands are determined by the DSO.…”

Section: Continuous Double Auction (Cda) Methodsmentioning

confidence: 99%

“…Formula (5) shows the power balance Equation for each microgrid; through this Equation, the energy imported and exported to each microgrid is kept equal. The mathematical relations of microgrid energy storage systems are depicted in Equations (6)(7)(8). According to Equation ( 6), the discharged power of the battery in microgrids is divided into two parts.…”

Section: Day-ahead Integrated Operation Of Power and Gas Networkmentioning

confidence: 99%

“…First, the related information of the total network component is gathered by the DSO. Second, The MINLP optimisation problem, Equations (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20), is solved by the DSO to determine customers' energy demand schedules and power generation schedules; This will help determine the amount of power to be bought/sold in the P2P market framework. In the proposed method the DSO is a charge of the operation of both power and natural gas networks.…”

Section: Customers' Optimum Bidding Tactics In the P2p Market Frameworkmentioning

confidence: 99%

“…In Ref. [8], a method for the integrated operation of two electricity and natural gas networks coupled through gas turbines and thermal loads is introduced, considering the operating constraints of both networks.…”

Section: Introductionmentioning

confidence: 99%

“…The two networks have operated for decades, but closer coordination could decrease costs, improve efficiencies and prevent disruptions. In addition to increasing energy resiliency and reliability, better coordination of these systems will reduce natural gas supply costs for electricity production [8].…”

Section: Introductionmentioning

confidence: 99%

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Integrated operation of gas and power system through the P2P market mechanism

Feili

Ameli

2023

IET Smart Grid

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Peer-to-peer (P2P) energy trading is a new technology for integrating distributed energy resources (DERs) into the power system. A P2P market allows direct energy trading between end-users, enables local power and energy equilibrium and supports power grid operations. As a common DER, gas-fired power plants are employed to deal with the intermittency of the power system due to their flexible characteristics. Therefore, the intermittency in the power system transmits to the gas system through the gas-fired power plants, which makes the operation of these systems even more interdependent and cost-effective. This paper proposes a market-based two-stage framework for the integrated operation of power and natural gas grids taking into account demand response and both network constraints. In the first stage (scheduling stage), the MINLP-based optimisation approach is used for the optimal scheduling of two energy carriers considering AC power flow and gas hydraulic calculations for the next 24 h. Then, in the second stage, the continuous double auction (CDA)-based P2P energy trading approach is used for enabling customers to trade energy with each other. To simulate human trader behaviour and maximises the benefits of customers, the authors considered the optimum bidding strategy through the zero intelligent plus trader model. The simulations executed on a 33-bus power distribution grid and a 33-node gas network indicate that the proposed framework can dramatically reduce the total operational cost and improve the performance of both networks. Using only the MINLP optimisation problem, first stage, the total operational cost of both networks is reduced by 15.58%, while the voltage profile at the end of the power grid is improved by about 7%. In the next stage, the total operating cost of both networks is further decreased by 29.31% via implementing the P2P energy trading mechanism. K E Y W O R D Sdemand side management, energy storage, microgrid, nanogrid, and peer-to-peer energy trading, power marketsThis is an open access article under the terms of the Creative Commons Attribution-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited and no modifications or adaptations are made.

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