TY - CHAP
T1 - Applications of meta-heuristics in renewable energy systems
AU - Kumawat, Manoj
AU - Gupta, Nitin
AU - Jain, Naveen
AU - Shrivastava, Vivek
AU - Sharma, Gulshan
N1 - Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2021
Y1 - 2021
N2 - The utilities are facing many problems with the conventional electrical system. Moreover, the electrical demand of the system is exponentially increasing since the last decade. The traditional framework is not able to address the demand of the end-user with environmental, technical, and economic concerns. Though, some counties have adopted the liberalization in power distribution systems. In addition, renewable energy systems can compensate for the demand of the utility. The renewable energy systems have contributed to minimize the economical and technical losses of distribution and transmission networks, support aggressive policies and decreases the cost of ancillary services. In the current competitive liberalization scenario, the utilities are facing strained operating conditions to meet the expectation. Therefore, the adhere to the present load scenario is a complex circumstance. Further, the utilities have to maximize the annual profits of the distribution systems by enhancing the energy efficiencies with the quality of power to customers. A lot of algorithms have been used to maximize the benefit of proper accommodation of the energy resources in distribution networks. Each algorithm has a unique application and process to optimize a particular type of objective. Therefore, each algorithm finds out the global solution in specific boundaries. This chapter describes a theoretical background and application of the meta-heuristic methods to the allocation of the renewable energy systems in the distribution network.
AB - The utilities are facing many problems with the conventional electrical system. Moreover, the electrical demand of the system is exponentially increasing since the last decade. The traditional framework is not able to address the demand of the end-user with environmental, technical, and economic concerns. Though, some counties have adopted the liberalization in power distribution systems. In addition, renewable energy systems can compensate for the demand of the utility. The renewable energy systems have contributed to minimize the economical and technical losses of distribution and transmission networks, support aggressive policies and decreases the cost of ancillary services. In the current competitive liberalization scenario, the utilities are facing strained operating conditions to meet the expectation. Therefore, the adhere to the present load scenario is a complex circumstance. Further, the utilities have to maximize the annual profits of the distribution systems by enhancing the energy efficiencies with the quality of power to customers. A lot of algorithms have been used to maximize the benefit of proper accommodation of the energy resources in distribution networks. Each algorithm has a unique application and process to optimize a particular type of objective. Therefore, each algorithm finds out the global solution in specific boundaries. This chapter describes a theoretical background and application of the meta-heuristic methods to the allocation of the renewable energy systems in the distribution network.
KW - Firefly method, Jaya algorithm
KW - Harmony search
KW - Metaheuristics algorithms
KW - Renewable energy systems
KW - Teaching-learning based optimization
UR - http://www.scopus.com/inward/record.url?scp=85092315532&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-7571-6_12
DO - 10.1007/978-981-15-7571-6_12
M3 - Chapter
AN - SCOPUS:85092315532
T3 - Studies in Computational Intelligence
SP - 253
EP - 282
BT - Studies in Computational Intelligence
PB - Springer Science and Business Media Deutschland GmbH
ER -
