Congestion problems might occur in distribution networks as the penetration of distributed energy resources (DERs) progresses. This study focuses on complementarity multiple hubs (EHs) to solve possible network congestions. First, we consider an EH which combined cooling, heating and power (CCHP) units heat pumps are integrated with renewable resources. The models intrinsic coupling relationship among various carriers, forming a flexible operation where electricity, natural gas, cooling can...

This paper proposes a distributed multienergy management framework for the coordinated operation of interconnected biogas-solar-wind microgrids. In this framework, each microgrid not only schedules its local hybrid renewables coupled multicarrier energy supplies based on concept hub but also exchanges with microgrids and via transactive market. The multimicrogrid scheduling is challenging optimization problem due to severe constraints strong couplings. A coupling matrix thus formulated model...

This paper proposes a novel probabilistic transient stability constrained optimal power flow (P-TSCOPF) model to simultaneously consider uncertainties and for system preventive control. While detailed wind generator with rotor flux magnitude angle control strategy is used describe the dynamic behaviors of generators, uncertain factors correlations, such as load injections, stochastic fault clearing time, multiple correlated generations, are also included form representative P-TSCOPF model. A...

Grid connection of intermittent renewable energy, such as wind power and photovoltaic, results in challenges keeping balance for system operation. In order to solve this problem, article proposed a multitime scale coordinated scheduling model the combined power-photovoltaic-thermal generator-hydro pumped storage-battery (WPTHB) by taking advantages their complementary operation characteristics. The is composed three time scales: day-ahead scheduling, 1-h ahead 15-min scheduling. 1) based on...

This paper presents a security-constrained multiperiod economic dispatch model (M-SCED) for systems with renewable energy sources (RES). A two-stage framework is adopted to initial operation plans and recourse actions before after the uncertainty realization of RES power. For ensuring superior system efficiency, distributionally robust optimization (DRO) utilized evaluate expectations costs affected by uncertainty. Practical issues, including boundedness inaccurate information, are...

Under the pressure of climate change and energy crisis, electric vehicles (EVs) have experienced a marked growth in many countries recently. However, environmental benefits EVs cannot be achieved if charging power from electricity grid is still mainly provided by fossil-fueled plants. How to construct low-carbon fast-charging system has become an emerging research topic. In this context, novel carbon-oriented expansion planning model integrated natural gas (IEGS) with EV stations (FCSs)...

The deregulated active distribution network (ADN) would incorporate numerous autonomous stakeholders, including some emerging distributed virtual alliances (DVAs) like microgrids and power plants. Those DVAs autonomously participate in energy market trading through bidding among themselves dispatching conducted by the ADN. In this paper, optimal model for ADN day-ahead is first developed as a stochastic dynamic programming with risk of misconduct considered, then re-formulated Markov...

Distributed renewable energy requires market-based measures to remain competitive as subsidies are phased out. However, the intermittence and volatility of power generation lead great challenges in decision-making. To address uncertainty issues induced by inaccurate RE forecast, this paper proposed a peer-to-peer transactive trading strategy for multiple microgrids based on distributionally robust optimization. First, an fuzzy set Wasserstein distance is created prediction errors each...

In order to effectively accommodate large-scale distributed energy resources (DERs) in active distribution power networks, this paper proposes a fully hierarchical framework economically manage multiple DERs within three layers: the tertiary, secondary generation regulation layer, and primary frequency droop control layer. tertiary dispatch strategy is designed optimally allocate base point of center-free manner, with total load imbalance locally estimated by individual DER using discrete...

Combined heat and power dispatch (CHPD) is utilized for energy-efficient coordination of integrated electricity systems. By incorporating district heating networks (DHNs) into CHPD, the thermal storage capability network pipelines can be exploited to increase operational flexibility high penetration renewable energy. This article proposes a evaluation method based on generalized model systematically characterize quantify DHNs in CHPD. In particular, systematic metrics are introduced define...

Internet data centers are booming in the last few years, leading to gigantic amount of energy consumption and greenhouse gas emission. In this paper, a center microgrid including conventional units, storage, renewable generation is modeled optimize its electricity bill carbon footprint. Considering randomness price, output workload distribution, volatility risk incorporated measure associated operation risk. Then, day-ahead emission-aware stochastic resource planning scheme formulated decide...

As an emerging energy carrier, hydrogen presents a potential opportunity to increase the flexibility and resiliency of integrated power transportation system having ultrahigh penetration renewable generation. This article studies conceptual energy-mobility (IEMS) based on renewable-to-hydrogen stations (RHSs) tank truck fleets. In RHS, renewables grid while also charge storage unit that can perform power-to-hydrogen (P2H) hydrogen-to-power (H2P) operations. Besides, using fleets, RHS will...

Electric vehicles (EVs) provide new options for energy balancing of power systems. One possible way to use EVs in is let each distribution system mitigate its forecast uncertainties through the flexibility EVs. In consideration difficulties directly govern a large number EVs, it more reasonable systems dispatch electric vehicle aggregators (EVAs). Without influencing driving activities next day, model established make EVAs, whose contributions are delaying their temporal and thus creating...

Plug-in electric vehicles (PEVs) could provide valuable ancillary service for power systems with intermittent renewables. This paper proposes a charging model of large amount PEVs to mitigate the high-level wind fluctuations in distribution network so as regulate system frequency. With prerequisite that all PEV daily driving patterns are completely satisfied, is economically allocated counterbalance generation intermittency. Afterward, center-free control scheme based on consensus algorithm...

Electric vehicles (EVs) are recognized as a promising remedy for the environmental crisis and fuel shortage faced by modern metropolises. But meanwhile, with popularization of EVs, unordered charging EVs will have negative impacts on both power distribution network (DN) traffic (TN). The well-scheduled EV charging/discharging behaviors could participate in coordinated operation TN DN to significantly enhance energy utilization efficiency networks. With an assumption that entity like state...

Renewable energy is the development direction of power system China. To further boost China's industry, digital transformation underway. This study examined panorama Through analyzing effect on renewable utilization, three business applications were identified: short-term prediction output, equipment maintenance, and intelligent power-grid maintenance. The implementation process are analyzed by using data covering 2012-2019 from aspects: accuracy reduction fault restoration mean time for to...

Under the pressure of climate change, hydrogen has been advocated as a promising energy carrier to achieve low-carbon integration urban transportation network (UTN) and power distribution (PDN). In this article, control strategy based on refueling service fee (HRSF) is proposed for smart city department guide fuel cell electric vehicles (HFCEVs) in selecting stations. Correspondingly, HRSF-based coordinated operation model established minimize total UTN travel cost, PDN environmental while...

Large-scale renewable energy suppliers and electric vehicles (EVs) are expected to become dominated participants in future electricity market. In this article, a competitive bidding strategy is formulated for wind power plants (WPPs) EV aggregators pool-based day-ahead A bilevel multiagent based model proposed study their behaviors, with market clearing completion the lower level revenue maximization upper level. stochastic framework developed incorporate uncertainties maximal production of...

Power system requires developing more flexible sources to handle the variability and stochastic of ever-increasing renewable energy. Retrofitting conventional coal-fired power plants (CPPs) is a viable promising pathway for providing large-scale flexibility at this stage. Typical retrofit technologies mainly include reducing minimum load, improving ramping capability, speeding up startups/shutdowns. They involve multiple subsystems CPPs coupled technical issues, they have different...