http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Surender Reddy Salkuti (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Optimal Operation of Electrified Railways with Renewable Sources and Storage
Surender Reddy Salkuti 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.1
This paper proposes an approach for the optimal operation of electrifi ed railways by balancing energy fl ows among energy exchange with the traditional electrical grid, energy consumption by accelerating trains, energy production from decelerating trains, energy from renewable energy resources (RERs) such as wind and solar photovoltaic (PV) energy systems, and energy storage systems. The objective function considered in this work is the minimization of total operating cost of electrifi ed railway system consisting of cost of power generation from the external power system, cost of power obtained from RERs such as wind and solar PV sources, cost of power from storage systems such as battery storage and supercapacitors, and the income obtained by selling excess power back to the main electrical grid. This problem is formulated as an AC optimal power fl ow problem subjected to various equality and inequality constraints. In this work, the probability distribution functions (PDFs) are used to the uncertainties related to wind and solar PV powers. The proposed optimization problem is solved by using CONOPT solver of generalized algebraic modeling system (GAMS) software, which is a powerful and effi cient optimization tool. The simulation results obtained with GAMS/CONOPT solver are also compared with meta-heuristic based diff erential evolution algorithm (DEA).
-
Congestion Management Using Multi-Objective Glowworm Swarm Optimization Algorithm
Surender Reddy Salkuti,김성철 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.4
This paper proposes a novel congestion management (CM) approach within an optimal power fl ow (OPF) framework in the context of restructured power markets. The conventional OPF problem is modifi ed to include a mechanism which enables the market players to compete and trade, and simultaneously ensuring the secured system operation. In this paper, both the centralized and bilateral dispatch strategies of system operator are considered. The proposed CM problem is formulated by considering the two objective functions. If the bidding prices in the market are not considered, then the fi rst objective is to minimize to the total cost of generation. By considering the bidding prices in the market, the fi rst objective function becomes the minimization of congestion rental in the system. The second objective function is to minimize the total transmission losses in the system. The proposed multi-objective based CM problem has been solved using the multi-objective glowworm swarm optimization (MO-GSO) algorithm. The standard IEEE 30 bus and IEEE 118 bus test systems are used to test the proposed CM approach. The results show the suitability of proposed MO-GSO algorithm for solving the multi-objective based CM problem and to generate a well distributed Pareto optimal set of considered two objective functions.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
