ADMM based distributed energy scheduling of grid connected microgrid by considering the demand response DOI Creative Commons

P Krishna Mohan Reddy,

Sandeep Vuddanti

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Abstract Global warming, environmental degradation, clean energy production, intermittent, volatile, and unpredictable renewable sources (RES’s), occasional peak demand on the system necessitates management (EM). Demand response (DR) programs in distribution network can be seen as one of foundation stones future EM. This article illustrates need for EM using DR, its benefits, types loads, clustering techniques, price-based (PBDR) etc. To accomplish goals to attain economic benefit, DR employs shifting, clipping, valley filling load growth. However, accumulation large loads at low electricity prices creates local peaks, this phenomenon is referred payback or rebound effect (RE). The occurrence RE price zone heightens volatility market clearing (MCP) operational cost microgrid. Inherently, scheduled inelastic consumers suffer from increased MCP therefore, total consumer tariff (TCT). depends curve, average ratio, percentage interruptible present system. Unclear pricing methods impede participation customers events. Moreover, majority techniques presented literature are centralized frameworks that needs complex communication technologies. fill these glitches proposed work uses a simple distributed scheduling approach based alternating direction method multipliers (ADMM) alleviate an IEEE-18 bus IEEE-33 was considered assess impact TCT.

Language: Английский

A novel efficient energy optimization in smart urban buildings based on optimal demand side management DOI Creative Commons
Bilal Naji Alhasnawi, Basil H. Jasim, Arshad Naji Alhasnawi

et al.

Energy Strategy Reviews, Journal Year: 2024, Volume and Issue: 54, P. 101461 - 101461

Published: July 1, 2024

Increasing electrical energy consumption during peak hours leads to increased losses and the spread of environmental pollution. For this reason, demand-side management programs have been introduced reduce hours. This study proposes an efficient optimization in Smart Urban Buildings (SUBs) based on Improved Sine Cosine Algorithm (ISCA) that uses load-shifting technique for as a way improve patterns SUBs. The proposed system's goal is optimize SUBs appliances order effectively regulate load demand, with end result being reduction average ratio (PAR) consequent minimization electricity costs. accomplished while also keeping user comfort priority. system evaluated by comparing it Grasshopper Optimization (GOA) unscheduled cases. Without applying algorithm, total cost, carbon emission, PAR waiting time are equal 1703.576 ID, 34.16664 (kW), 413.5864s respectively RTP. While, after GOA, improved 1469.72 21.17 355.772s ISCA Improves PAR, 1206.748 16.5648 268.525384s respectively. Where 13.72 %, 38.00 13.97 % And method, 29.16 51.51 35.07 According results, created algorithm performed better than case GOA scheduling situations terms stated objectives was advantageous both utilities consumers. Furthermore, has presented novel two-stage stochastic model Moth-Flame (MFOA) co-optimization capacity planning systems storage would be incorporated grid connected smart urban buildings.

Language: Английский

Citations

22
Optimal operation of distribution networks and multiple community energy prosumers based on mixed game theory DOI Creative Commons
Bingxu Zhao, Pengfei Duan,

Mengdan Fen

et al.

Energy, Journal Year: 2023, Volume and Issue: 278, P. 128025 - 128025

Published: June 7, 2023

Language: Английский

Citations

33
A novel economic dispatch in the stand-alone system using improved butterfly optimization algorithm DOI Creative Commons
Bilal Naji Alhasnawi, Basil H. Jasim, Vladimír Bureš

et al.

Energy Strategy Reviews, Journal Year: 2023, Volume and Issue: 49, P. 101135 - 101135

Published: Aug. 4, 2023

Distributed renewable energy systems are now widely installed in many buildings, transforming the buildings into 'electricity prosumers'. Additionally, managing shared usage and trade smart continues to be a significant difficulty. The main goal of solving such problems is flatten aggregate power consumption-generation curve increase local direct trading among participants as much possible. This study provides coordinated building energy-sharing concept for neighborhood integrated with sources storage devices within itself. management model's primary objective reduce total cost all customers by increasing use locally produced energy. In first stage, group optimum consumption schedules each HEMS calculated an Improved Butterfly Optimization Algorithm (IBOA). A system (NEMS) established second stage based on consensus algorithm. four used test evaluate effectiveness suggested model. These have varying load profiles levels integration this paper, proposed framework evaluated comparing it Grey Wolf optimization (GWO) algorithm W/O scheduling cases. With applying GWO, electricity cost, peak load, PAR, waiting time improved 3873.723 cents, 21.6005 (kW), 7.162225 87 s respectively ToU pricing 11217.57 (cents), 18.0425(kW), 5.984825 98 CPP tariff. However, using IBOA Improves 3850.61 20.1245 6.7922 53 respectively, 10595.8 17.6765(kW), 5.83255(kW), 74 Also, noted that run GWO 13% 47%, 2% 26% CPP. number iterations required obtain optimal solution reduced 60% 81% 55% 80% tariffs. results show improvements obtained just intelligent programming management.

Language: Английский

Citations

33
Cooperative scheduling and trading in sustainable water-integrated and networked energy systems incorporating power-to-gas DOI
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 101, P. 105052 - 105052

Published: Nov. 13, 2023

Language: Английский

Citations

7
Alternating direction method of multipliers based distributed energy scheduling of grid connected microgrid by considering the demand response DOI Creative Commons
Krishna Mohan Reddy Pothireddy,

Sandeep Vuddanti

Deleted Journal, Journal Year: 2024, Volume and Issue: 6(7)

Published: June 24, 2024

Abstract Global warming, environmental degradation, clean energy production, intermittent, volatile, and unpredictable renewable sources (RES’s), occasional peak demand on the system necessitates management (EM). Demand response (DR) programs in distribution network can be seen as one of foundation stones future EM. This article illustrates need for EM using DR, its benefits, types loads, clustering techniques, price-based (PBDR) etc. To accomplish goals to attain economic benefit, DR employs shifting, clipping, valley filling load growth. However, accumulation large loads at low electricity prices creates local peaks, this phenomenon is referred payback or rebound effect (RE). The occurrence RE price zone heightens volatility market clearing (MCP) operational cost microgrid. Inherently, scheduled inelastic consumers suffer from increased MCP therefore, total consumer tariff (TCT). depends curve, average ratio, percentage interruptible present system. Unclear pricing methods impede participation customers events. Moreover, majority techniques presented literature are centralized frameworks that needs complex communication technologies. fill these glitches proposed work uses a simple distributed scheduling approach based alternating direction method multipliers (ADMM) alleviate an IEEE-18 bus factor increases 0.79 0.83. Using lowers power MG 82 78 kW without compromising customer comfort satisfaction. TCT was lowered scenario 1 4 3058 2254 euros. system's dropped 65.54 64.8 kW. IEEE-33 considered assess impact TCT. Additionally, marginal generator provides 72.51 sub case 3 166.26 2. Due decrease dispatch generator, 2 sun by 11,046.41 rupees 12,912.75 rupees. In contrast, TOC decreased 6495.45 6150.75 3.

Language: Английский

Citations

1
A step-by-step full-order sliding mode controller design for standalone inverter-interfaced cleaner renewable energy sources DOI Creative Commons
Mostafa Barzegar‐Kalashani, M. A. Mahmud, Behrouz Tousi

et al.

Cleaner Energy Systems, Journal Year: 2023, Volume and Issue: 6, P. 100080 - 100080

Published: July 8, 2023

Power electronic inverters are one of the most significant components for integration clean energy systems and proper control these power interfaces helps to enhance quality. This paper presents a robust step-by-step full-order sliding mode voltage strategy standalone single-phase that can be interfaced with cleaner renewable sources. The proposed controller employs cascaded method through outer- inner-loops facilitate tracking desired load voltage. In contrast commonly used techniques interfacing sources, which usually utilize canonical-form system's state-space model, designed uses block-controllable model mitigates unwanted noises. To design controller, capacitor inductor current LC filter measured employed in outer second-order loop inner first-order loop, respectively. utilization such surfaces each step effectively reduces chattering signals as well facilitates transient steady-state responses less harmonic distortion thereby, promoting effective verify performance under various loading conditions external disturbances, 2.2 kW inverter is simulated using MATLAB/Simulink platform along microcontroller-based processor-in-loop digital signal processing. terms internal also tested different parameters' variations over wider range. results indicate better alignment coupling sources comparisons other show controller.

Language: Английский

Citations

3
The optimization analysis of multi-type demand-side flexibility resources for renewable energy accommodation in electrical power systems DOI Creative Commons
Kun Ding, Lei Zhang,

Changhai Yang

et al.

Frontiers in Energy Research, Journal Year: 2023, Volume and Issue: 11

Published: Dec. 29, 2023

The significant increase in the proportion of renewable energy access has led to a burgeoning and urgent demand for flexible resources within power system, prominence on side been underscored. existing research demand-side response primarily focuses addressing peak load challenges, while optimization accommodating remains inadequate. Considering this issue, present study initially examines flexibility mechanism offered by proposes calculation approach determining adjustable capacity resources. Furthermore, considering limitations that can be shifted, transferred, curtailed, we develop collaborative operational model with multiple types response. Finally, based provincial grid example, simulation verifies efficacy multi-type results demonstrate shiftable transferable loads effectively facilitate accommodation new energy, their optimal allocation ratios are 5.8% 2.3%, respectively.

Language: Английский

Citations

1
ADMM based distributed energy scheduling of grid connected microgrid by considering the demand response DOI Creative Commons

P Krishna Mohan Reddy,

Sandeep Vuddanti

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Abstract Global warming, environmental degradation, clean energy production, intermittent, volatile, and unpredictable renewable sources (RES’s), occasional peak demand on the system necessitates management (EM). Demand response (DR) programs in distribution network can be seen as one of foundation stones future EM. This article illustrates need for EM using DR, its benefits, types loads, clustering techniques, price-based (PBDR) etc. To accomplish goals to attain economic benefit, DR employs shifting, clipping, valley filling load growth. However, accumulation large loads at low electricity prices creates local peaks, this phenomenon is referred payback or rebound effect (RE). The occurrence RE price zone heightens volatility market clearing (MCP) operational cost microgrid. Inherently, scheduled inelastic consumers suffer from increased MCP therefore, total consumer tariff (TCT). depends curve, average ratio, percentage interruptible present system. Unclear pricing methods impede participation customers events. Moreover, majority techniques presented literature are centralized frameworks that needs complex communication technologies. fill these glitches proposed work uses a simple distributed scheduling approach based alternating direction method multipliers (ADMM) alleviate an IEEE-18 bus IEEE-33 was considered assess impact TCT.

Language: Английский

Citations

0