Article
Thermodynamics
Khalid Al-Khori, Yusuf Bicer, Muammer Koc
Summary: This paper presents a comparative investigation based on two case studies for integrating Photovoltaic panels with Battery Energy Storage System (PV-BESS) and Photovoltaic panels with Solid Oxide Fuel cell (PV-SOFC) technologies with a natural gas processing plant. The study shows that PV-SOFC option is more economical and feasible than PV-BESS, especially in a scenario where investment costs are expected to reduce.
Article
Engineering, Electrical & Electronic
Xiuli Wang, Jing Liu, Fushuan Wen
Summary: A bi-level optimization model was proposed to coordinate the optimal configuration of energy storage capacity in multi-stakeholder scenarios using a dynamic pricing mechanism. The model was validated using actual power grid operating data.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Green & Sustainable Science & Technology
Devika Jay, K. S. Swarup
Summary: Modern power systems are becoming smarter and more competitive, with real-time pricing of active and reactive power considered an efficient energy management method. However, the procurement of reactive power through market mechanisms in real-time has not yet been implemented. This paper details the challenges faced in implementing reactive power markets and presents a review of existing mechanisms to address these challenges, as well as a framework for reactive power ancillary service in a smart grid.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Energy & Fuels
Yumna Kurdi, Baraa J. Alkhatatbeh, Somayeh Asadi
Summary: A shift towards greater deployment of renewable energy resources in residential areas, specifically solar photovoltaic (PV) systems with battery energy storage systems (BESS), has been observed. Multi-objective optimization is used to better align PV electricity production with building demand patterns. The study examines the influence of different electricity transaction models on the optimal design of PV and PV-BESS systems, using a two-phase optimization framework. Results show that selling surplus electricity to the grid impacts the optimal configuration of PV and PV-BESS systems, as well as the number of batteries needed. The use of batteries reduces grid load variance and achieves the highest self-sufficiency rate.
Article
Engineering, Electrical & Electronic
Devika Jay, K. S. Swarup
Summary: This paper proposes a market mechanism for real-time reactive power ancillary services based on the Stackelberg game model, considering voltage-apparent power coupled subsystems. The mechanism is tested on different systems and found to improve system-wide bus voltage.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)
Article
Energy & Fuels
A. Gonzalez-Moreno, J. Marcos, I. de la Parra, L. Marroyo
Summary: This work presents a novel control method for multi-megawatt photovoltaic (PV) plants that can regulate each plant inverter and the battery system to mitigate PV power fluctuations. The proposed method allows for different PV ramp-rate control strategies based on battery usage and inverter limitation. It also proposes a new control strategy that reduces curtailment losses and addresses the asymmetry in battery charging and discharging capability.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Lu Feng, Xinjing Zhang, Chengyuan Li, Xiaoyu Li, Bin Li, Jie Ding, Chao Zhang, Han Qiu, Yujie Xu, Haisheng Chen
Summary: Energy storage is a key factor in promoting renewable energy development. The coupling of battery energy storage systems (BESS) with renewable energy can generate additional revenue through arbitrage and auxiliary services. This study investigates the technical and economic performance of such a coupling system and develops a multi-objective three-level model for the optimal configuration of BESS.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Muyi Liu, Haixin Wang, Deyun Han, Junyou Yang, Yanzhen Li
Summary: This paper proposes an energy storage capacity competition-based demand response method in the blockchain ancillary service market. It introduces a new market structure that utilizes Proof of Capacity (POC) as the consensus mechanism to enable competition among users' energy storage capacity. The demand response process of the ancillary service market is also designed to select users with the largest capacity or combinations of users to respond to different demands. Simulation results show significant improvements in the response rate, time to fulfill users' capacity, and call rate of user's capacity compared to the traditional ancillary service market.
Article
Energy & Fuels
Atik Jawad, Nahid-Al- Nahid-Al-Masood
Summary: This paper proposes a novel methodology using multiple linear regression analysis to estimate appropriate deloading percentages for PV systems and enhance frequency stability in large-scale PV integrated grids. The feasibility of the method is demonstrated through simulation experiments with different PV penetration levels and performance comparisons with PV integrated grids installed with battery energy storage systems and synchronous condensers. The findings also reveal the decreasing trend of the required deloading percentage with increasing PV penetration.
Article
Energy & Fuels
Smita Lokhande, Yogesh Bichpuriya, Ankur A. Kulkarni, Venkatesh Sarangan
Summary: With the increasing use of intermittent renewable energy sources in the electric power system, the system operator faces the challenge of maintaining the dynamic and uncertain demand-supply balance. To address this challenge, the operator procures services from balancing service providers, including energy storage system (ESS) aggregators. This study proposes a model for an ESS aggregator that can trade multiple services in ancillary service markets, contributing to maintaining the real-time demand-supply balance.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
An. Tsiakalos, D. Tsiamitros, Ap. Tsiakalos, D. Stimoniaris, A. Ozdemir, M. Roumeliotis, N. Asimopoulos
Summary: This study introduces an innovative technology for PV sun-tracking systems to regulate energy production according to network demands, improving power supply reliability and extending system lifespan by protecting PV panels from high temperatures.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Engineering, Electrical & Electronic
Xianglu Liu, Xianglong Li, Haiyang Chen, Wenbin Zhou, Zhou Sun, Hao Xu
Summary: Through experimentation, this paper shows that electric vehicles can participate in the wholesale capacity market through aggregators and achieve a win-win commercialization model by implementing smart pricing policies. Both electric vehicle owners and utilities can benefit from this process.
WORLD ELECTRIC VEHICLE JOURNAL
(2021)
Article
Energy & Fuels
Xiaojuan Han, Zhenpeng Hong, Yu Su, Zuran Wang
Summary: A flexible control method of the ESS participating in grid ancillary services based on electricity price forecasting using Markov chain for accuracy correction and NPV method for economic evaluation is proposed in this paper. The simulation analysis validates the effectiveness of the proposed method in providing theoretical support for the ESS participating in power grid ancillary service markets.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Xiang Gao, Haomin Ma, Ka Wing Chan, Shiwei Xia, Ziqing Zhu
Summary: The study introduces a bidding model for PV-integrated BESS power plants in a day-ahead market, utilizing multiagent reinforcement learning to explore optimal bid prices, validating computational performance and analyzing bidding strategies of each participant.
FRONTIERS IN ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Zedequias Machado Alves, Renata Mota Martins, Gustavo Marchesan, Ghendy Cardoso Jr
Summary: This paper proposes a metaheuristic approach based on particle swarm optimization for the allocation and sizing of photovoltaic inverters that perform the complementary functions of PV-STATCOM units. The methodology considers both the daily load curve and generation and is validated based on an exhaustive search algorithm. The proposed methodology demonstrates improved grid voltage profile throughout the day and efficient active power generation by the photovoltaic inverter.
