This paper proposes an optimal energy flow technique for the integrated electricity and gas systems (IEGS) with injections of alternative gases. Firstly, we develop a novel model IEGS gases, where physical characteristics (e.g., specific gravity) mixtures are modeled as variables to reflect impacts more accurately. Security indices introduced restrain composition variation. Then, convex optimization techniques tailored transfer original highly nonlinear nonconvex problem into tractable form....

The interdependency among the electricity, gas, heat, and cooling energy systems is ever-increasing. flexible utilization patterns on demand side gas flow dynamics in transmission system bring both opportunities challenges to reliable operation of integrated (IES). For example, if electricity supply interrupted, can ramp up gas-fired units using linepacks. By this means, reliability at moment be improved, while system's capability withstanding future risks may undermined. Therefore,...

With the coordination of multiple energies at city level, complexity urban energy system is ever-increasing. Securing reliable operation multi-energy (UMES) has become a challenging task. This article focuses on operational reliability evaluation UMES considering incorporation equivalent storages. First, novel concept dynamic hub proposed, as unified tool to characterize relationships operating conditions diverse components in UMES. Then, temperature-controlled load (TCL) modeled storage...

Due to the autonomous characteristic and heterogeneity of individual agents in active distribution network (ADN) with multi-microgrids (MMG), this paper proposes a fully decentralized adjustable robust operation framework achieving coordinated between ADN MMG. The improved linear decision rules (LDRs) based microgrid model is proposed reduce solution conservatism dealing renewable energy uncertainty. LDRs then reformulated as computationally tractable such that extension can handle...

Multi-energy microgrid (MEMG) has the potential to improve energy utilization efficiency. However, uncertainty caused by distributed renewable resources brings an urgent need for multi-energy co-optimization ensure secure operation. This paper focuses on distributionally robust management problem MEMG. Various flexible in different sectors are utilized mitigation, then, a data-driven Wasserstein distance-based joint chance-constrained (DRJCC) model is proposed. To make DRJCC tractable,...

Injecting alternative gas (e.g., green hydrogen from wind generation) into the system is a promising way to decarbonize energy sector. However, fluctuating renewable generation could lead time-varying injections. Then, composition in may become uncertain, increasing short-term risk of integrated power-gas systems during operation. This article proposes reliability assessment approach for IPGS with First, multi-performance and multi-state universal generating functions (UGF) are constructed...

The rapid emergence of hydrogen in long-term energy strategies requires a broad understanding on how is currently modelled national system models. This study provides review representation within selected models that are tailored towards providing policy insights. paper adopts multi-layered approach and selects eleven notable for the review. covers production, storage, transportation, trade, demand, modeling strategies, policies. suggests existing would often opt simplified can capture each...

The wide application of energy conversion facilities on the demand side, such as combined heat and power units, has accelerated integration multiple carriers in form hub (EH). EH can flexibly schedule its electricity gas consumption patterns to provide response (DR) services system. However, DR introduce significant uncertainties demands, posing challenges real-time balance integrated systems (IEGSs). stored pipeline (i.e., linepack) is a promising flexible resource accommodate during DR....

Blending green hydrogen from renewable generations into the natural gas infrastructure can effectively mitigate carbon emissions of energy consumers. However, distributed blending could lead to heterogeneous compositions across network. The traditional nodal price scheme is designed for uniform composition, which cannot reflect impacts composition and emission mitigation. This paper proposes a novel in hydrogen-blended integrated electricity systems (H-IEGS). First, we propose joint...

Electricity-driven thermostatically controlled loads (TCLs), e.g., air conditioners (ACs), have been widely utilized in demand response (DR) to provide operating reserve for power systems. However, the rebound effects may occur during recovery process of DR, which can limit quality ACs or even affect reliable operation With community-level smart energy hubs (EH), traditional electricity-driven TCLs be expanded into multi-energy driven (MTCLs), household radiators. Under this circumstance,...

This paper focuses on the distributed and distributionally robust dispatch for VSC-based multiterminal high voltage direct current (VSC-MTDC) meshed AC/DC power networks with a penetration of wind power. The regional AC grid is formulated as joint chance-constrained model to handle uncertain power, which solved by Bonferroni conditional value-at-risk approximation algorithm. MTDC flexible operation fully utilize unique flow regulation capability VSCs in adapting variations promoting...