TY - GEN
T1 - Optimal demand response allocation in resource scheduling with renewable energy penetration
AU - Srikanth Reddy, K.
AU - Panwar, Lokesh Kumar
AU - Panigrahi, B. K.
AU - Kumar, Rajesh
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/5
Y1 - 2016/10/5
N2 - In the emerging smart grid technologies, resource utilization is diversified and responsive demand became an important tool in availing various benefits. The informed load curtailment is a popular means of demand response aspect with customers being facilitated by financial incentives for offered load reduction. Therefore, augmentation of such responsive loads with unit commitment process can be effective in resource scheduling of smart grid. This paper attempts to develop a binary fireworks algorithm application solve unit commitment problem along with demand response and wind energy. While the wind energy is considered as non schedulable, load curtailment is modelled as schedulable through demand response aggregator. Further, system and thermal unit constraints applicable for wind energy and DR are modified. The proposed methodology is tested on system with coal fired thermal generation, demand response aggregator and wind energy. Various possible scheduling scenarios are laid out for examination. Simulation results are presented and discussed in detail. Results shows the effectiveness of demand response in reducing the operational cost of system operator. Also, the demand response showed betterment when scheduled along with wind energy. The reduction in cost from from traditional thermal unit scheduling is observed to be 6.5% which is best among all the possible scenarios.
AB - In the emerging smart grid technologies, resource utilization is diversified and responsive demand became an important tool in availing various benefits. The informed load curtailment is a popular means of demand response aspect with customers being facilitated by financial incentives for offered load reduction. Therefore, augmentation of such responsive loads with unit commitment process can be effective in resource scheduling of smart grid. This paper attempts to develop a binary fireworks algorithm application solve unit commitment problem along with demand response and wind energy. While the wind energy is considered as non schedulable, load curtailment is modelled as schedulable through demand response aggregator. Further, system and thermal unit constraints applicable for wind energy and DR are modified. The proposed methodology is tested on system with coal fired thermal generation, demand response aggregator and wind energy. Various possible scheduling scenarios are laid out for examination. Simulation results are presented and discussed in detail. Results shows the effectiveness of demand response in reducing the operational cost of system operator. Also, the demand response showed betterment when scheduled along with wind energy. The reduction in cost from from traditional thermal unit scheduling is observed to be 6.5% which is best among all the possible scenarios.
KW - Binary fireworks algorithm (BFWA)
KW - Demand response
KW - Demand response aggregator
KW - Load curtailment
KW - Resource scheduling
KW - Wind energy generator
UR - http://www.scopus.com/inward/record.url?scp=84994189064&partnerID=8YFLogxK
U2 - 10.1109/ICPES.2016.7584082
DO - 10.1109/ICPES.2016.7584082
M3 - Conference contribution
AN - SCOPUS:84994189064
T3 - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016
BT - 2016 IEEE 6th International Conference on Power Systems, ICPS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Power Systems, ICPS 2016
Y2 - 4 March 2016 through 6 March 2016
ER -