Co-optimization of Energy and Demand-Side Reserves in Day-Ahead Electricity Markets

被引：27

作者：

Reddy, S. Surender ^{[1
]}

Abhyankar, A. R. ^{[2
]}

Bijwe, P. R. ^{[2
]}

机构：

[1] Woosong Univ, Dept Railroad & Elect Engn, Daejeon, South Korea

[2] Indian Inst Technol Delhi, Dept Elect Engn, New Delhi, India

来源：

INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS | 2015年 / 16卷 / 02期

关键词：

demand elasticity; demand response; electricity markets; load modeling; multi-objective optimization; social welfare;

D O I：

10.1515/ijeeps-2014-0020

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a new multi-objective day-ahead market clearing (DAMC) mechanism with demand-side reserves/demand response (DR) offers, considering realistic voltage-dependent load modeling. The paper proposes objectives such as social welfare maximization (SWM) including demand-side reserves, and load served error (LSE) minimization. In this paper, energy and demand-side reserves are cleared simultaneously through co-optimization process. The paper clearly brings out the unsuitability of conventional SWM for DAMC in the presence of voltage-dependent loads, due to reduction of load served (LS). Under such circumstances multi-objective DAMC with DR offers is essential. Multi-objective Strength Pareto Evolutionary Algorithm 2+ (SPEA 2+) has been used to solve the optimization problem. The effectiveness of the proposed scheme is confirmed with results obtained from IEEE 30 bus system.

引用

页码：195 / 206

页数：12

共 50 条

[41] Energy Bidding in a Day-Ahead Electricity Market Using Fuzzy Optimization
Ijaz, Muhammad
Sahito, Muhammad Faraz
Al-Awami, Ali T.
2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2015, : 2388 - 2393
[42] Methods for Characterizing Flexibilities from Demand-Side Resources and Their Applications in the Day-Ahead Optimal Scheduling
Wu J.
Ai X.
Hu J.
Hu, Junjie (junjiehu@ncepu.edu.cn), 1973, China Machine Press (35): : 1973 - 1984
[43] Co-optimization of electricity day-ahead market and steady-state natural gas system using Augmented Lagrangian
Biskas, P. N.
Kanelakis, N. G.
2014 11TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2014,
[44] A light robust optimization approach for uncertainty-based day-ahead electricity markets
Silva-Rodriguez, Lina
Sanjab, Anibal
Fumagalli, Elena
Virag, Ana
Gibescu, Madeleine
ELECTRIC POWER SYSTEMS RESEARCH, 2022, 212
[45] Residual Demand Curves for Modeling the Effect of Complex Offering Conditions on Day-Ahead Electricity Markets
Portela Gonzalez, Jose
Munoz San Roque, Antonio
Sanchez-Ubeda, Eugenio E.
Garcia-Gonzalez, Javier
Gonzalez Hombrados, Rafael
IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (01) : 50 - 61
[46] A light robust optimization approach for uncertainty-based day-ahead electricity markets
Silva-Rodriguez, Lina
Sanjab, Anibal
Fumagalli, Elena
Virag, Ana
Gibescu, Madeleine
Electric Power Systems Research, 2022, 212
[47] A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets
Zhang, Guoli
Zhang, Guangquan
Gao, Ya
Lu, Jie
2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, 2009, : 611 - +
[48] Co-Optimization of Ancillary Services Providing Primary Frequency Control in the Day-Ahead Market
Garcia, Manuel
Skolfield, J. Kyle
Wilches-Bernal, Felipe
Baldick, Ross
IEEE ACCESS, 2025, 13 : 56385 - 56398
[49] An improved incentive-based demand response program in day-ahead and intra-day electricity markets
Shahryari, E.
Shayeghi, H.
Mohammadi-ivatloo, B.
Moradzadeh, M.
ENERGY, 2018, 155 : 205 - 214
[50] Bidding Strategy for Generators with Constraints In Day-Ahead Electricity Markets
Bichpuriya, Yogesh
Nandagaoli, Neha
Mahilong, Nidhisha
Sarangan, Venkatesh
Rajazopal, Narayanan
2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGY EUROPE (ISGT EUROPE 2021), 2021, : 1049 - 1053

← 1 2 3 4 5 →