Energy, Год журнала: 2024, Номер unknown, С. 133674 - 133674
Опубликована: Окт. 1, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер 115, С. 105800 - 105800
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
17
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 17, 2025
In this paper, a comprehensive energy management framework for microgrids that incorporates price-based demand response programs (DRPs) and leverages an advanced optimization method-Greedy Rat Swarm Optimizer (GRSO) is proposed. The primary objective to minimize the generation cost environmental impact of microgrid systems by effectively scheduling distributed resources (DERs), including renewable sources (RES) such as solar wind, alongside fossil-fuel-based generators. Four distinct models-exponential, hyperbolic, logarithmic, critical peak pricing (CPP)-are developed, each reflecting different price elasticity demand. These models are integrated with flexible matrix assess dynamic consumer fluctuating electricity prices. study evaluates four operational scenarios, focusing on grid participation, DER utilization, real-time (RTP), time use (TOU), strategies. Quantitative results demonstrate significant cost-saving potential integrating DRPs operations. optimal scenario, GRSO achieved minimum 882¥ base load profile. Further, when (CPP) was applied, reduced 746¥, representing 15.4% reduction. For scenario where grid's participation limited, logarithmic-based model decreased 817¥, while full interaction led higher reductions. Additionally, our show reduction in load, factor improvements up 87.7% across studied profiles. Furthermore, limiting upstream power capacity 30 kW resulted 7% increase all cases, confirming importance reducing costs. algorithm outperformed traditional metaheuristics terms both execution convergence, making it viable solution optimization. conclusion, proposed GRSO-based provides efficient approach minimization, achieving costs notable benefits emissions. This highlights strategies sustainable cost-effective management.
Язык: Английский
Процитировано
4
Scientific Reports, Год журнала: 2025, Номер 15(1)
Опубликована: Янв. 6, 2025
Abstract The cost-effective scheduling of distributed energy resources through sophisticated optimization algorithms is the main focus recent work on microgrid management. In order to improve load factor and efficiency, load-shifting techniques are frequently used in conjunction with additional complex constraints such as PHEV battery life assessment. Pollutant reduction, however, rarely highlighted a primary goal. An incentive-based demand response (IBDR) introduced proposed close this gap promote curtailment during peak hours. IBDR policy rewards participant customers incentives for which turn lowers emissions generation costs. Furthermore, trade-off approach ensures both environmental economic sustainability by striking balance between cost reduction emission reduction. Considering fact view that 30–40% willing participate program, six different scenarios have been analysed, each involves various levels grid participation approaches pricing electricity market. These also include implementation programmes. Differential evolution algorithm was tool study. results achieved all demonstrate suitability effectiveness implementing suggested strategy terms savings. According numerical reported, generating decreased 10–13% inclusion IBDR. Additionally, 6–8% 4–5% improvement realised positive impact policy. weighted dispatch offered balanced solution considered minimum models system.
Язык: Английский
Процитировано
3
International Journal of Hydrogen Energy, Год журнала: 2024, Номер 87, С. 574 - 587
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
14
iScience, Год журнала: 2024, Номер 27(4), С. 109549 - 109549
Опубликована: Март 22, 2024
Independently run single microgrids (MGs) encounter difficulties with inadequate self-consumption of local renewable energy and frequent power exchange the grid. Combining numerous MGs to form a multi-microgrid (MMG) is viable approach enhance smart distribution networks' operational financial performance. However, correlation coordination intermittent generation within each MG network pose many techno-economic challenges for sharing trading. This review offers comprehensive analysis these framework MMG operations. It examines state-of-the-art methodologies optimizing multi-energy dispatch scrutinizes contemporary strategies markets that contribute resilience systems. The discourse extends burgeoning role blockchain technology in revolutionizing decentralized market frameworks intricacies reliable cost-effective distribution. Overall, this study provides ample inspiration theoretical practical research new entrants experts alike develop concepts markets, scheduling novel operating models future resilient networked systems/MMGs.
Язык: Английский
Процитировано
12
Sustainable Energy Grids and Networks, Год журнала: 2025, Номер unknown, С. 101625 - 101625
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1
Energies, Год журнала: 2023, Номер 16(22), С. 7628 - 7628
Опубликована: Ноя. 17, 2023
This article presents the optimal placement of electric vehicle (EV) charging stations in an active integrated distribution grid with photovoltaic and battery energy storage systems (BESS), respectively. The increase population has enabled people to switch EVs because market price for gas-powered cars is shrinking. fast spread depends solely on rapid coordinated growth (EVCSs). Since EVCSs can cause power losses voltage variations outside permissible limits, their integration into current be characterized by growing penetration randomly dispersed (PV) (BESS) systems, which complicated. study used genetic algorithm (GA) optimization load flow (accommodation anticipated rise number road) analysis a forward backward sweep methodology (FBSM) locate, scale optimize from where distributed PV/BESSs are prevalent. Power was demonstrated objective issue, included minimizing reactive losses. To verify proposed solutions grid, IEEE 33 bus considered EVCSs’ under BESS systems. MATLAB simulations EVCS-PV-BESS system five different zones were performed using detection zone 1 (ranging 301.9726 kW 203.3872 kW), reducing (accounting 33%) minimum level.
Язык: Английский
Процитировано
19
Renewable and Sustainable Energy Reviews, Год журнала: 2024, Номер 203, С. 114757 - 114757
Опубликована: Июль 24, 2024
Язык: Английский
Процитировано
7
International Journal of Renewable Energy Development, Год журнала: 2024, Номер 13(2), С. 329 - 339
Опубликована: Фев. 20, 2024
To tackle the challenges associated with variability and uncertainty in distributed power generation, as well complexities of solving high-dimensional energy management mathematical models mi-crogrid optimization, a microgrid optimization method is proposed based on an improved soft actor-critic algorithm. In method, algorithm employs entropy-based objective function to encourage target exploration without assigning signifi-cantly higher probabilities any part action space, which can simplify analysis process generation while effectively mitigating convergence fragility issues model management. The effectiveness validated through case study op-timization results revealed increase 51.20%, 52.38%, 13.43%, 16.50%, 58.26%, 36.33% total profits compared Deep Q-network algorithm, state-action-reward-state-action proximal policy ant-colony strategy genetic fuzzy inference system, theoretical retailer stragety, respectively. Additionally, com-pared other methods strategies, learn more optimal behaviors anticipate fluctuations electricity prices demand.
Язык: Английский
Процитировано
5
Journal of Energy Storage, Год журнала: 2024, Номер 97, С. 112785 - 112785
Опубликована: Июль 13, 2024
Язык: Английский
Процитировано
5