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
收藏
页码：195 / 206
页数：12
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