Abstract
This work presents a new coordinated operation (CO) framework for electricity and natural gas networks, considering network congestions and demand response. Credit rank (CR) indicator of coupling units is introduced, and gas consumption constraints information of natural gas fired units (NGFUs) is given. Natural gas network operator (GNO) will deliver this information to an electricity network operator (ENO). A major advantage of this operation framework is that no frequent information interaction between GNO and ENO is needed. The entire framework contains two participants and three optimization problems, namely, GNO optimization sub-problem-A, GNO optimization sub-problem-B, and ENO optimization sub-problem. Decision sequence changed from traditional ENO-GNO-ENO to GNO-ENO-GNO in this novel framework. Second-order cone (SOC) relaxation is applied to ENO optimization sub-problem. The original problem is reformulated as a mixed-integer second-order cone programming (MISOCP) problem. For GNO optimization sub-problem, an improved sequential cone programming (SCP) method is applied based on SOC relaxation and the original sub-problem is converted to MISOCP problem. A benchmark 6-node natural gas system and 6-bus electricity system is used to illustrate the effectiveness of the proposed framework. Considering pipeline congestion, CO, with demand response, can reduce the total cost of an electricity network by 1.19%, as compared to −0.48% using traditional decentralized operation with demand response.
Highlights
In November 2018, the European Union (EU) presented its long-term vision for a carbon-neutral economy by 2050
Power to Gas is a technology that could be useful in the short to medium term, as a component of a comprehensive grid scale storage solution, in support of a power grid supplied by intermittent renewable energy systems (RES) in the long term to promote smart energy for smart cities [1,2,3]
The structure of traditional decentralized operation (DO) is shown in Figure 2 composed of two steps: Step 1: electricity network operator (ENO) carries out the optimal local scheduling of electricity network which described as ENO sub-problem, and the corresponding consumption of natural gas information will deliver to the gas network operator (GNO)
Summary
In November 2018, the European Union (EU) presented its long-term vision for a carbon-neutral economy by 2050. While the two systems have operated for decades, closer coordination could save money, improve efficiencies, and minimize potential disruptions Improved coordination of these networks will increase energy resiliency and reliability while reducing the cost of natural gas supply for electricity generation. Reference [7] examined the renewable energy sources impact, including pumpedstorage units and photovoltaic systems on power system security from electricity and natural gas networks perspective. Reference [12] presented an in-depth integrated model for examining the influence of interdependency between natural gas and electricity networks on power system security, considering constraints of natural gas network in the securityconstrained unit commitment (SCUC) problem for power systems. Reference [15] proposed a decentralized operation strategy and applied it to coordinate energy flow in a multi-area integrated electricity-natural gas system (IEGS).
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