2023
Autores
Kisuule, M; Ndawula, MB; Gu, C; Hernando-Gil, I;
Publicação
Energies
Abstract
2023
Autores
Zhao P.; Li S.; Hu P.J.H.; Cao Z.; Gu C.; Yan X.; Huo D.; Hernando-Gil I.;
Publicação
IEEE Transactions on Computational Social Systems
Abstract
Effective utility system management is fundamental and critical for ensuring the normal activities, operations, and services in cities and urban areas. In that regard, the advanced information and communication technologies underpinning smart cities enable close linkages and coordination of different subutility systems, which is now attracting research attention. To increase operational efficiency, we propose a two-stage optimal co-management model for an integrated urban utility system comprised of water, power, gas, and heating systems, namely, integrated water-energy hubs (IWEHs). The proposed IWEH facilitates coordination between multienergy and water sectors via close energy conversion and can enhance the operational efficiency of an integrated urban utility system. In particular, we incorporate social-aware peer-to-peer (P2P) resource trading in the optimization model, in which operators of an IWEH can trade energy and water with other interconnected IWEHs. To cope with renewable generation and load uncertainties and mitigate their negative impacts, a two-stage distributionally robust optimization (DRO) is developed to capture the uncertainties, using a semidefinite programming reformulation. To demonstrate our model's effectiveness and practical values, we design representative case studies that simulate four interconnected IWEH communities. The results show that DRO is more effective than robust optimization (RO) and stochastic optimization (SO) for avoiding excessive conservativeness and rendering practical utilities, without requiring enormous data samples. This work reveals a desirable methodological approach to optimize the water-energy-social nexus for increased economic and system-usage efficiency for the entire (integrated) urban utility system. Furthermore, the proposed model incorporates social participations by citizens to engage in urban utility management for increased operation efficiency of cities and urban areas.
2024
Autores
Cheng S.; Gil I.H.; Flower I.; Gu C.; Li F.;
Publicação
IEEE Transactions on Power Systems
Abstract
Proactive participation of uncertain renewable generation in the day-ahead (DA) wholesale market effectively reduces the system marginal price and carbon emissions, whilst significantly increasing the volumes of real-time balancing mechanism prices to ensure system security and stability. To solve the conflicting interests over the two timescales, this article: 1) proposes a novel hierarchical optimization model to align with the actual operation paradigms of the hierarchical market, whereby the capacity allocation matrix is adopted to coordinate the DA and balancing markets; 2) mathematically formulates and quantitatively analyses the long-term driving factors of balancing actions, enabling system operators (SOs) to design efficient and well-functioning market structures to meet economic and environmental targets; 3) empowers renewable generating units and flexible loads to participate in the balancing market (BM) as 'active' actors and enforces the non-discriminatory provision of balancing services. The performance of the proposed model is validated on a modified IEEE 39-bus power system and a reduced GB network. Results reveal that with effective resource allocation in different timescales of the hierarchical market, the drop speed of balancing costs soars while the intermittent generation climbs. The proposed methodology enables SOs to make the most of all resources available in the market and balance the system flexibly and economically. It thus safeguards the climate mitigation pathways against the risks of substantially higher balancing costs.
2024
Autores
Zhao, AP; Li, S; Gu, C; Yan, X; Hu, PJ; Wang, Z; Xie, D; Cao, Z; Chen, X; Wu, C; Luo, T; Wang, Z; Hernando-Gil, I;
Publicação
IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Abstract
2024
Autores
Sarwar, FA; Hernando-Gil, I; Vechiu, I;
Publicação
Energy Conversion and Economics
Abstract
2018
Autores
Muhammad Ridzuan M.I.; Hernando-Gil I.; Djokic S.;
Publicação
Journal of Telecommunication, Electronic and Computer Engineering
Abstract
The inclusion and arrangement of protection devices within the LV distribution network often neglected. By exemption of protection devices during network modelling, may result in overestimation of reliability performances. Detail network representation of UK LV residential model is used to assess network reliability performance. The analytical and improved Monte-Carlo Simulation (MCS) approaches are used to estimate system-related reliability indices.
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.